Project acronym AMORE
Project A distributional MOdel of Reference to Entities
Researcher (PI) Gemma BOLEDA TORRENT
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Starting Grant (StG), SH4, ERC-2016-STG
Summary "When I asked my seven-year-old daughter ""Who is the boy in your class who was also new in school last year, like you?"", she instantly replied ""Daniel"", using the descriptive content in my utterance to identify an entity in the real world and refer to it. The ability to use language to refer to reality is crucial for humans, and yet it is very difficult to model. AMORE breaks new ground in Computational Linguistics, Linguistics, and Artificial Intelligence by developing a model of linguistic reference to entities implemented as a computational system that can learn its own representations from data.
This interdisciplinary project builds on two complementary semantic traditions: 1) Formal semantics, a symbolic approach that can delimit and track linguistic referents, but does not adequately match them with the descriptive content of linguistic expressions; 2) Distributional semantics, which can handle descriptive content but does not associate it to individuated referents. AMORE synthesizes the two approaches into a unified, scalable model of reference that operates with individuated referents and links them to referential expressions characterized by rich descriptive content. The model is a distributed (neural network) version of a formal semantic framework that is furthermore able to integrate perceptual (visual) and linguistic information about entities. We test it extensively in referential tasks that require matching noun phrases (“the Medicine student”, “the white cat”) with entity representations extracted from text and images.
AMORE advances our scientific understanding of language and its computational modeling, and contributes to the far-reaching debate between symbolic and distributed approaches to cognition with an integrative proposal. I am in a privileged position to carry out this integration, since I have contributed top research in both distributional and formal semantics.
"
Summary
"When I asked my seven-year-old daughter ""Who is the boy in your class who was also new in school last year, like you?"", she instantly replied ""Daniel"", using the descriptive content in my utterance to identify an entity in the real world and refer to it. The ability to use language to refer to reality is crucial for humans, and yet it is very difficult to model. AMORE breaks new ground in Computational Linguistics, Linguistics, and Artificial Intelligence by developing a model of linguistic reference to entities implemented as a computational system that can learn its own representations from data.
This interdisciplinary project builds on two complementary semantic traditions: 1) Formal semantics, a symbolic approach that can delimit and track linguistic referents, but does not adequately match them with the descriptive content of linguistic expressions; 2) Distributional semantics, which can handle descriptive content but does not associate it to individuated referents. AMORE synthesizes the two approaches into a unified, scalable model of reference that operates with individuated referents and links them to referential expressions characterized by rich descriptive content. The model is a distributed (neural network) version of a formal semantic framework that is furthermore able to integrate perceptual (visual) and linguistic information about entities. We test it extensively in referential tasks that require matching noun phrases (“the Medicine student”, “the white cat”) with entity representations extracted from text and images.
AMORE advances our scientific understanding of language and its computational modeling, and contributes to the far-reaching debate between symbolic and distributed approaches to cognition with an integrative proposal. I am in a privileged position to carry out this integration, since I have contributed top research in both distributional and formal semantics.
"
Max ERC Funding
1 499 805 €
Duration
Start date: 2017-02-01, End date: 2022-01-31
Project acronym AngioGenesHD
Project Epistasis analysis of angiogenes with high cellular definition
Researcher (PI) Rui Miguel Dos Santos Benedito
Host Institution (HI) CENTRO NACIONAL DE INVESTIGACIONESCARDIOVASCULARES CARLOS III (F.S.P.)
Call Details Starting Grant (StG), LS4, ERC-2014-STG
Summary Blood and lymphatic vessels have been the subject of intense investigation due to their important role in cancer development and in cardiovascular diseases. The significant advance in the methods used to modify and analyse gene function have allowed us to obtain a much better understanding of the molecular mechanisms involved in the regulation of the biology of blood vessels. However, there are two key aspects that significantly diminish our capacity to understand the function of gene networks and their intersections in vivo. One is the long time that is usually required to generate a given double mutant vertebrate tissue, and the other is the lack of single-cell genetic and phenotypic resolution. We have recently performed an in vivo comparative transcriptome analysis of highly angiogenic endothelial cells experiencing different VEGF and Notch signalling levels. These are two of the most important molecular mechanisms required for the adequate differentiation, proliferation and sprouting of endothelial cells. Using the information generated from this analysis, the overall aim of the proposed project is to characterize the vascular function of some of the previously identified genes and determine how they functionally interact with these two signalling pathways. We propose to use novel inducible genetic tools that will allow us to generate a spatially and temporally regulated fluorescent cell mosaic matrix for quantitative analysis. This will enable us to analyse with unprecedented speed and resolution the function of several different genes simultaneously, during vascular development, homeostasis or associated diseases. Understanding the genetic epistatic interactions that control the differentiation and behaviour of endothelial cells, in different contexts, and with high cellular definition, has the potential to unveil new mechanisms with high biological and therapeutic relevance.
Summary
Blood and lymphatic vessels have been the subject of intense investigation due to their important role in cancer development and in cardiovascular diseases. The significant advance in the methods used to modify and analyse gene function have allowed us to obtain a much better understanding of the molecular mechanisms involved in the regulation of the biology of blood vessels. However, there are two key aspects that significantly diminish our capacity to understand the function of gene networks and their intersections in vivo. One is the long time that is usually required to generate a given double mutant vertebrate tissue, and the other is the lack of single-cell genetic and phenotypic resolution. We have recently performed an in vivo comparative transcriptome analysis of highly angiogenic endothelial cells experiencing different VEGF and Notch signalling levels. These are two of the most important molecular mechanisms required for the adequate differentiation, proliferation and sprouting of endothelial cells. Using the information generated from this analysis, the overall aim of the proposed project is to characterize the vascular function of some of the previously identified genes and determine how they functionally interact with these two signalling pathways. We propose to use novel inducible genetic tools that will allow us to generate a spatially and temporally regulated fluorescent cell mosaic matrix for quantitative analysis. This will enable us to analyse with unprecedented speed and resolution the function of several different genes simultaneously, during vascular development, homeostasis or associated diseases. Understanding the genetic epistatic interactions that control the differentiation and behaviour of endothelial cells, in different contexts, and with high cellular definition, has the potential to unveil new mechanisms with high biological and therapeutic relevance.
Max ERC Funding
1 481 375 €
Duration
Start date: 2015-03-01, End date: 2020-02-29
Project acronym AP-1-FUN
Project AP-1 (Fos/Jun) Functions in Physiology and Disease
Researcher (PI) Erwin F. Wagner
Host Institution (HI) FUNDACION CENTRO NACIONAL DE INVESTIGACIONES ONCOLOGICAS CARLOS III
Call Details Advanced Grant (AdG), LS4, ERC-2008-AdG
Summary Our research interests lie in breaking new ground in studying mechanism-based functions of AP-1 (Fos/Jun) in vivo with the aim of obtaining a more global perspective on AP-1 in human physiology and disease/cancer. The unresolved issues regarding the AP-1 subunit composition will be tackled biochemically and genetically in various cell types including bone, liver and skin, the primary organs affected by altered AP-1 activity. I plan to utilize the knowledge gained on AP-1 functions in the mouse and transfer it to human disease. The opportunities here lie in exploiting the knowledge of AP-1 target genes and utilizing this information to interfere with pathways involved in normal physiology and disease/cancer. The past investigations revealed that the functions of AP-1 are an essential node at the crossroads between life and death in different cellular systems. I plan to further exploit our findings and concentrate on utilising better mouse models to define these connections. The emphasis will be on identifying molecular signatures and potential treatments in models for cancer, inflammatory and fibrotic diseases. Exploring genetically modified stem cell-based therapies in murine and human cells is an ongoing challenge I would like to meet in the forthcoming years at the CNIO. In addition, the mouse models will be used for mechanism-driven therapeutic strategies and these studies will be undertaken in collaboration with the Experimental Therapeutics Division and the service units such as the tumor bank. The project proposal is divided into 6 Goals (see also Figure 1): Some are a logical continuation based on previous work with completely new aspects (Goal 1-2), some focussing on in depth molecular analyses of disease models with innovative and unconventional concepts, such as for inflammation and cancer, psoriasis and fibrosis (Goal 3-5). A final section is devoted to mouse and human ES cells and their impact for regenerative medicine in bone diseases and cancer.
Summary
Our research interests lie in breaking new ground in studying mechanism-based functions of AP-1 (Fos/Jun) in vivo with the aim of obtaining a more global perspective on AP-1 in human physiology and disease/cancer. The unresolved issues regarding the AP-1 subunit composition will be tackled biochemically and genetically in various cell types including bone, liver and skin, the primary organs affected by altered AP-1 activity. I plan to utilize the knowledge gained on AP-1 functions in the mouse and transfer it to human disease. The opportunities here lie in exploiting the knowledge of AP-1 target genes and utilizing this information to interfere with pathways involved in normal physiology and disease/cancer. The past investigations revealed that the functions of AP-1 are an essential node at the crossroads between life and death in different cellular systems. I plan to further exploit our findings and concentrate on utilising better mouse models to define these connections. The emphasis will be on identifying molecular signatures and potential treatments in models for cancer, inflammatory and fibrotic diseases. Exploring genetically modified stem cell-based therapies in murine and human cells is an ongoing challenge I would like to meet in the forthcoming years at the CNIO. In addition, the mouse models will be used for mechanism-driven therapeutic strategies and these studies will be undertaken in collaboration with the Experimental Therapeutics Division and the service units such as the tumor bank. The project proposal is divided into 6 Goals (see also Figure 1): Some are a logical continuation based on previous work with completely new aspects (Goal 1-2), some focussing on in depth molecular analyses of disease models with innovative and unconventional concepts, such as for inflammation and cancer, psoriasis and fibrosis (Goal 3-5). A final section is devoted to mouse and human ES cells and their impact for regenerative medicine in bone diseases and cancer.
Max ERC Funding
2 500 000 €
Duration
Start date: 2009-11-01, End date: 2015-10-31
Project acronym BACCO
Project Bias and Clustering Calculations Optimised: Maximising discovery with galaxy surveys
Researcher (PI) Raúl Esteban ANGULO de la Fuente
Host Institution (HI) FUNDACION CENTRO DE ESTUDIOS DE FISICA DEL COSMOS DE ARAGON
Call Details Starting Grant (StG), PE9, ERC-2016-STG
Summary A new generation of galaxy surveys will soon start measuring the spatial distribution of millions of galaxies over a broad range of redshifts, offering an imminent opportunity to discover new physics. A detailed comparison of these measurements with theoretical models of galaxy clustering may reveal a new fundamental particle, a breakdown of General Relativity, or a hint on the nature of cosmic acceleration. Despite a large progress in the analytic treatment of structure formation in recent years, traditional clustering models still suffer from large uncertainties. This limits cosmological analyses to a very restricted range of scales and statistics, which will be one of the main obstacles to reach a comprehensive exploitation of future surveys.
Here I propose to develop a novel simulation--based approach to predict galaxy clustering. Combining recent advances in computational cosmology, from cosmological N--body calculations to physically-motivated galaxy formation models, I will develop a unified framework to directly predict the position and velocity of individual dark matter structures and galaxies as function of cosmological and astrophysical parameters. In this formulation, galaxy clustering will be a prediction of a set of physical assumptions in a given cosmological setting. The new theoretical framework will be flexible, accurate and fast: it will provide predictions for any clustering statistic, down to scales 100 times smaller than in state-of-the-art perturbation--theory--based models, and in less than 1 minute of CPU time. These advances will enable major improvements in future cosmological constraints, which will significantly increase the overall power of future surveys maximising our potential to discover new physics.
Summary
A new generation of galaxy surveys will soon start measuring the spatial distribution of millions of galaxies over a broad range of redshifts, offering an imminent opportunity to discover new physics. A detailed comparison of these measurements with theoretical models of galaxy clustering may reveal a new fundamental particle, a breakdown of General Relativity, or a hint on the nature of cosmic acceleration. Despite a large progress in the analytic treatment of structure formation in recent years, traditional clustering models still suffer from large uncertainties. This limits cosmological analyses to a very restricted range of scales and statistics, which will be one of the main obstacles to reach a comprehensive exploitation of future surveys.
Here I propose to develop a novel simulation--based approach to predict galaxy clustering. Combining recent advances in computational cosmology, from cosmological N--body calculations to physically-motivated galaxy formation models, I will develop a unified framework to directly predict the position and velocity of individual dark matter structures and galaxies as function of cosmological and astrophysical parameters. In this formulation, galaxy clustering will be a prediction of a set of physical assumptions in a given cosmological setting. The new theoretical framework will be flexible, accurate and fast: it will provide predictions for any clustering statistic, down to scales 100 times smaller than in state-of-the-art perturbation--theory--based models, and in less than 1 minute of CPU time. These advances will enable major improvements in future cosmological constraints, which will significantly increase the overall power of future surveys maximising our potential to discover new physics.
Max ERC Funding
1 484 240 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym BePreSysE
Project Beyond Precision Cosmology: dealing with Systematic Errors
Researcher (PI) Licia VERDE
Host Institution (HI) UNIVERSITAT DE BARCELONA
Call Details Consolidator Grant (CoG), PE9, ERC-2016-COG
Summary Over the past 20 years cosmology has made the transition to a precision science: the standard cosmological model has been established and its parameters are now measured with unprecedented precision. But precision is not enough: accuracy is also crucial. Accuracy accounts for systematic errors which can be both on the observational and on the theory/modelling side (and everywhere in between). While there is a well-defined and developed framework for treating statistical errors, there is no established approach for systematic errors. The next decade will see the era of large surveys; a large coordinated effort of the scientific community in the field is on-going to map the cosmos producing an exponentially growing amount of data. This will shrink the statistical errors, making mitigation and control of systematics of the utmost importance. While there are isolated and targeted efforts to quantify systematic errors and propagate them through all the way to the final results, there is no well-established, self-consistent methodology. To go beyond precision cosmology and reap the benefits of the forthcoming observational program, a systematic approach to systematics is needed. Systematics should be interpreted in the most general sense as shifts between the recovered measured values and true values of physical quantities. I propose to develop a comprehensive approach to tackle systematic errors with the goal to uncover and quantify otherwise unknown differences between the interpretation of a measurement and reality. This will require to fully develop, combine and systematize all approaches proposed so far (many pioneered by the PI), develop new ones to fill the gaps, study and explore their interplay and finally test and validate the procedure. Beyond Precision Cosmology: Dealing with Systematic Errors (BePreSysE) will develop a framework to deal with systematics in forthcoming Cosmological surveys which, could, in principle, be applied beyond Cosmology.
Summary
Over the past 20 years cosmology has made the transition to a precision science: the standard cosmological model has been established and its parameters are now measured with unprecedented precision. But precision is not enough: accuracy is also crucial. Accuracy accounts for systematic errors which can be both on the observational and on the theory/modelling side (and everywhere in between). While there is a well-defined and developed framework for treating statistical errors, there is no established approach for systematic errors. The next decade will see the era of large surveys; a large coordinated effort of the scientific community in the field is on-going to map the cosmos producing an exponentially growing amount of data. This will shrink the statistical errors, making mitigation and control of systematics of the utmost importance. While there are isolated and targeted efforts to quantify systematic errors and propagate them through all the way to the final results, there is no well-established, self-consistent methodology. To go beyond precision cosmology and reap the benefits of the forthcoming observational program, a systematic approach to systematics is needed. Systematics should be interpreted in the most general sense as shifts between the recovered measured values and true values of physical quantities. I propose to develop a comprehensive approach to tackle systematic errors with the goal to uncover and quantify otherwise unknown differences between the interpretation of a measurement and reality. This will require to fully develop, combine and systematize all approaches proposed so far (many pioneered by the PI), develop new ones to fill the gaps, study and explore their interplay and finally test and validate the procedure. Beyond Precision Cosmology: Dealing with Systematic Errors (BePreSysE) will develop a framework to deal with systematics in forthcoming Cosmological surveys which, could, in principle, be applied beyond Cosmology.
Max ERC Funding
1 835 220 €
Duration
Start date: 2017-06-01, End date: 2022-05-31
Project acronym BILITERACY
Project Bi-literacy: Learning to read in L1 and in L2
Researcher (PI) Manuel Francisco Carreiras Valiña
Host Institution (HI) BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
Call Details Advanced Grant (AdG), SH4, ERC-2011-ADG_20110406
Summary Learning to read is probably one of the most exciting discoveries in our life. Using a longitudinal approach, the research proposed examines how the human brain responds to two major challenges: (a) the instantiation a complex cognitive function for which there is no genetic blueprint (learning to read in a first language, L1), and (b) the accommodation to new statistical regularities when learning to read in a second language (L2). The aim of the present research project is to identify the neural substrates of the reading process and its constituent cognitive components, with specific attention to individual differences and reading disabilities; as well as to investigate the relationship between specific cognitive functions and the changes in neural activity that take place in the course of learning to read in L1 and in L2. The project will employ a longitudinal design. We will recruit children before they learn to read in L1 and in L2 and track reading development with both cognitive and neuroimaging measures over 24 months. The findings from this project will provide a deeper understanding of (a) how general neurocognitive factors and language specific factors underlie individual differences – and reading disabilities– in reading acquisition in L1 and in L2; (b) how the neuro-cognitive circuitry changes and brain mechanisms synchronize while instantiating reading in L1 and in L2; (c) what the limitations and the extent of brain plasticity are in young readers. An interdisciplinary and multi-methodological approach is one of the keys to success of the present project, along with strong theory-driven investigation. By combining both we will generate breakthroughs to advance our understanding of how literacy in L1 and in L2 is acquired and mastered. The research proposed will also lay the foundations for more applied investigations of best practice in teaching reading in first and subsequent languages, and devising intervention methods for reading disabilities.
Summary
Learning to read is probably one of the most exciting discoveries in our life. Using a longitudinal approach, the research proposed examines how the human brain responds to two major challenges: (a) the instantiation a complex cognitive function for which there is no genetic blueprint (learning to read in a first language, L1), and (b) the accommodation to new statistical regularities when learning to read in a second language (L2). The aim of the present research project is to identify the neural substrates of the reading process and its constituent cognitive components, with specific attention to individual differences and reading disabilities; as well as to investigate the relationship between specific cognitive functions and the changes in neural activity that take place in the course of learning to read in L1 and in L2. The project will employ a longitudinal design. We will recruit children before they learn to read in L1 and in L2 and track reading development with both cognitive and neuroimaging measures over 24 months. The findings from this project will provide a deeper understanding of (a) how general neurocognitive factors and language specific factors underlie individual differences – and reading disabilities– in reading acquisition in L1 and in L2; (b) how the neuro-cognitive circuitry changes and brain mechanisms synchronize while instantiating reading in L1 and in L2; (c) what the limitations and the extent of brain plasticity are in young readers. An interdisciplinary and multi-methodological approach is one of the keys to success of the present project, along with strong theory-driven investigation. By combining both we will generate breakthroughs to advance our understanding of how literacy in L1 and in L2 is acquired and mastered. The research proposed will also lay the foundations for more applied investigations of best practice in teaching reading in first and subsequent languages, and devising intervention methods for reading disabilities.
Max ERC Funding
2 487 000 €
Duration
Start date: 2012-05-01, End date: 2017-04-30
Project acronym BIOCON
Project Biological origins of linguistic constraints
Researcher (PI) Juan Manuel Toro
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary The linguistic capacity to express and comprehend an unlimited number of ideas when combining a limited number of elements has only been observed in humans. Nevertheless, research has not fully identified the components of language that make it uniquely human and that allow infants to grasp the complexity of linguistic structure in an apparently effortless manner. Research on comparative cognition suggests humans and other species share powerful learning mechanisms and basic perceptual abilities we use for language processing. But humans display remarkable linguistic abilities that other animals do not possess. Understanding the interplay between general mechanisms shared across species and more specialized ones dedicated to the speech signal is at the heart of current debates in human language acquisition. This is a highly relevant issue for researchers in the fields of Psychology, Linguistics, Biology, Philosophy and Cognitive Neuroscience. By conducting experiments across several populations (human adults and infants) and species (human and nonhuman animals), and using a wide array of experimental techniques, the present proposal hopes to shed some light on the origins of shared biological constraints that guide more specialized mechanisms in the search for linguistic structure. More specifically, we hope to understand how general perceptual and cognitive mechanisms likely present in other animals constrain the way humans tackle the task of language acquisition. Our hypothesis is that differences between humans and other species are not the result of humans being able to process increasingly complex structures that are the hallmark of language. Rather, differences might be due to humans and other animals focusing on different cues present in the signal to extract relevant information. This research will hint at what is uniquely human and what is shared across different animals species.
Summary
The linguistic capacity to express and comprehend an unlimited number of ideas when combining a limited number of elements has only been observed in humans. Nevertheless, research has not fully identified the components of language that make it uniquely human and that allow infants to grasp the complexity of linguistic structure in an apparently effortless manner. Research on comparative cognition suggests humans and other species share powerful learning mechanisms and basic perceptual abilities we use for language processing. But humans display remarkable linguistic abilities that other animals do not possess. Understanding the interplay between general mechanisms shared across species and more specialized ones dedicated to the speech signal is at the heart of current debates in human language acquisition. This is a highly relevant issue for researchers in the fields of Psychology, Linguistics, Biology, Philosophy and Cognitive Neuroscience. By conducting experiments across several populations (human adults and infants) and species (human and nonhuman animals), and using a wide array of experimental techniques, the present proposal hopes to shed some light on the origins of shared biological constraints that guide more specialized mechanisms in the search for linguistic structure. More specifically, we hope to understand how general perceptual and cognitive mechanisms likely present in other animals constrain the way humans tackle the task of language acquisition. Our hypothesis is that differences between humans and other species are not the result of humans being able to process increasingly complex structures that are the hallmark of language. Rather, differences might be due to humans and other animals focusing on different cues present in the signal to extract relevant information. This research will hint at what is uniquely human and what is shared across different animals species.
Max ERC Funding
1 305 973 €
Duration
Start date: 2013-01-01, End date: 2018-12-31
Project acronym CAMAP
Project CAMAP: Computer Aided Modeling for Astrophysical Plasmas
Researcher (PI) Miguel-Ángel Aloy-Torás
Host Institution (HI) UNIVERSITAT DE VALENCIA
Call Details Starting Grant (StG), PE9, ERC-2010-StG_20091028
Summary This project will be aimed at obtaining a deeper insight into the physical processes taking place in astrophysical magnetized plasmas. To study these scenarios I will employ different numerical codes as virtual tools that enable me to experiment on computers (virtual labs) with distinct initial and boundary conditions. Among the kind of sources I am interested to consider, I outline the following: Gamma-Ray Bursts (GRBs), extragalactic jets from Active Galactic Nuclei (AGN), magnetars and collapsing stellar cores. A number of important questions are still open regarding the fundamental properties of these astrophysical sources (e.g., collimation, acceleration mechanism, composition, high-energy emission, gravitational wave signature). Additionally, there are analytical issues on the formalism in relativistic dynamics not resolved yet, e.g., the covariant extension of resistive magnetohydrodynamics (MHD). All these problems are so complex that only a computational approach is feasible. I plan to study them by means of relativistic and Newtonian MHD numerical simulations. A principal focus of the project will be to assess the relevance of magnetic fields in the generation, collimation and ulterior propagation of relativistic jets from the GRB progenitors and from AGNs. More generally, I will pursue the goal of understanding the process of amplification of seed magnetic fields until they become dynamically relevant, e.g., using semi-global and local simulations of representative boxes of collapsed stellar cores. A big emphasis will be put on including all the relevant microphysics (e.g. neutrino physics), non-ideal effects (particularly, reconnection physics) and energy transport due to neutrinos and photons to account for the relevant processes in the former systems. A milestone of this project will be to end up with a numerical tool that enables us to deal with General Relativistic Radiation Magnetohydrodynamics problems in Astrophysics.
Summary
This project will be aimed at obtaining a deeper insight into the physical processes taking place in astrophysical magnetized plasmas. To study these scenarios I will employ different numerical codes as virtual tools that enable me to experiment on computers (virtual labs) with distinct initial and boundary conditions. Among the kind of sources I am interested to consider, I outline the following: Gamma-Ray Bursts (GRBs), extragalactic jets from Active Galactic Nuclei (AGN), magnetars and collapsing stellar cores. A number of important questions are still open regarding the fundamental properties of these astrophysical sources (e.g., collimation, acceleration mechanism, composition, high-energy emission, gravitational wave signature). Additionally, there are analytical issues on the formalism in relativistic dynamics not resolved yet, e.g., the covariant extension of resistive magnetohydrodynamics (MHD). All these problems are so complex that only a computational approach is feasible. I plan to study them by means of relativistic and Newtonian MHD numerical simulations. A principal focus of the project will be to assess the relevance of magnetic fields in the generation, collimation and ulterior propagation of relativistic jets from the GRB progenitors and from AGNs. More generally, I will pursue the goal of understanding the process of amplification of seed magnetic fields until they become dynamically relevant, e.g., using semi-global and local simulations of representative boxes of collapsed stellar cores. A big emphasis will be put on including all the relevant microphysics (e.g. neutrino physics), non-ideal effects (particularly, reconnection physics) and energy transport due to neutrinos and photons to account for the relevant processes in the former systems. A milestone of this project will be to end up with a numerical tool that enables us to deal with General Relativistic Radiation Magnetohydrodynamics problems in Astrophysics.
Max ERC Funding
1 497 000 €
Duration
Start date: 2011-03-01, End date: 2017-02-28
Project acronym CancerADAPT
Project Targeting the adaptive capacity of prostate cancer through the manipulation of transcriptional and metabolic traits
Researcher (PI) Arkaitz CARRACEDO PEREZ
Host Institution (HI) ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN BIOCIENCIAS
Call Details Consolidator Grant (CoG), LS4, ERC-2018-COG
Summary The composition and molecular features of tumours vary during the course of the disease, and the selection pressure imposed by the environment is a central component in this process. Evolutionary principles have been exploited to explain the genomic aberrations in cancer. However, the phenotypic changes underlying disease progression remain poorly understood. In the past years, I have contributed to identify and characterise the therapeutic implications underlying metabolic alterations that are intrinsic to primary tumours or metastasis. In CancerADAPT I postulate that cancer cells rely on adaptive transcriptional & metabolic mechanisms [converging on a Metabolic Phenotype] in order to rapidly succeed in their establishment in new microenvironments along disease progression. I aim to predict the molecular cues that govern the adaptive properties in prostate cancer (PCa), one of the most commonly diagnosed cancers in men and an important source of cancer-related deaths. I will exploit single cell RNASeq, spatial transcriptomics and multiregional OMICs in order to identify the transcriptional and metabolic diversity within tumours and along disease progression. I will complement experimental strategies with computational analyses that identify and classify the predicted adaptation strategies of PCa cells in response to variations in the tumour microenvironment. Metabolic phenotypes postulated to sustain PCa adaptability will be functionally and mechanistically deconstructed. We will identify therapeutic strategies emanating from these results through in silico methodologies and small molecule high-throughput screening, and evaluate their potential to hamper the adaptability of tumour cells in vitro and in vivo, in two specific aspects: metastasis and therapy response. CancerADAPT will generate fundamental understanding on how cancer cells adapt in our organism, in turn leading to therapeutic strategies that increase the efficacy of current treatments.
Summary
The composition and molecular features of tumours vary during the course of the disease, and the selection pressure imposed by the environment is a central component in this process. Evolutionary principles have been exploited to explain the genomic aberrations in cancer. However, the phenotypic changes underlying disease progression remain poorly understood. In the past years, I have contributed to identify and characterise the therapeutic implications underlying metabolic alterations that are intrinsic to primary tumours or metastasis. In CancerADAPT I postulate that cancer cells rely on adaptive transcriptional & metabolic mechanisms [converging on a Metabolic Phenotype] in order to rapidly succeed in their establishment in new microenvironments along disease progression. I aim to predict the molecular cues that govern the adaptive properties in prostate cancer (PCa), one of the most commonly diagnosed cancers in men and an important source of cancer-related deaths. I will exploit single cell RNASeq, spatial transcriptomics and multiregional OMICs in order to identify the transcriptional and metabolic diversity within tumours and along disease progression. I will complement experimental strategies with computational analyses that identify and classify the predicted adaptation strategies of PCa cells in response to variations in the tumour microenvironment. Metabolic phenotypes postulated to sustain PCa adaptability will be functionally and mechanistically deconstructed. We will identify therapeutic strategies emanating from these results through in silico methodologies and small molecule high-throughput screening, and evaluate their potential to hamper the adaptability of tumour cells in vitro and in vivo, in two specific aspects: metastasis and therapy response. CancerADAPT will generate fundamental understanding on how cancer cells adapt in our organism, in turn leading to therapeutic strategies that increase the efficacy of current treatments.
Max ERC Funding
1 999 882 €
Duration
Start date: 2019-11-01, End date: 2024-10-31
Project acronym CANCERMETAB
Project Metabolic requirements for prostate cancer cell fitness
Researcher (PI) Arkaitz Carracedo Perez
Host Institution (HI) ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN BIOCIENCIAS
Call Details Starting Grant (StG), LS4, ERC-2013-StG
Summary The actual view of cellular transformation and cancer progression supports the notion that cancer cells must undergo metabolic reprogramming in order to survive in a hostile environment. This field has experienced a renaissance in recent years, with the discovery of cancer genes regulating metabolic homeostasis, in turn being accepted as an emergent hallmark of cancer. Prostate cancer presents one of the highest incidences in men mostly in developed societies and exhibits a significant association with lifestyle environmental factors. Prostate cancer recurrence is thought to rely on a subpopulation of cancer cells with low-androgen requirements, high self-renewal potential and multidrug resistance, defined as cancer-initiating cells. However, whether this cancer cell fraction presents genuine metabolic properties that can be therapeutically relevant remains undefined. In CancerMetab, we aim to understand the potential benefit of monitoring and manipulating metabolism for prostate cancer prevention, detection and therapy. My group will carry out a multidisciplinary strategy, comprising cellular systems, genetic mouse models of prostate cancer, human epidemiological and clinical studies and bioinformatic analysis. The singularity of this proposal stems from the approach to the three key aspects that we propose to study. For prostate cancer prevention, we will use our faithful mouse model of prostate cancer to shed light on the contribution of obesity to prostate cancer. For prostate cancer detection, we will overcome the consistency issues of previously reported metabolic biomarkers by adding robustness to the human studies with mouse data integration. For prostate cancer therapy, we will focus on a cell population for which the metabolic requirements and the potential of targeting them for therapy have been overlooked to date, that is the prostate cancer-initiating cell compartment.
Summary
The actual view of cellular transformation and cancer progression supports the notion that cancer cells must undergo metabolic reprogramming in order to survive in a hostile environment. This field has experienced a renaissance in recent years, with the discovery of cancer genes regulating metabolic homeostasis, in turn being accepted as an emergent hallmark of cancer. Prostate cancer presents one of the highest incidences in men mostly in developed societies and exhibits a significant association with lifestyle environmental factors. Prostate cancer recurrence is thought to rely on a subpopulation of cancer cells with low-androgen requirements, high self-renewal potential and multidrug resistance, defined as cancer-initiating cells. However, whether this cancer cell fraction presents genuine metabolic properties that can be therapeutically relevant remains undefined. In CancerMetab, we aim to understand the potential benefit of monitoring and manipulating metabolism for prostate cancer prevention, detection and therapy. My group will carry out a multidisciplinary strategy, comprising cellular systems, genetic mouse models of prostate cancer, human epidemiological and clinical studies and bioinformatic analysis. The singularity of this proposal stems from the approach to the three key aspects that we propose to study. For prostate cancer prevention, we will use our faithful mouse model of prostate cancer to shed light on the contribution of obesity to prostate cancer. For prostate cancer detection, we will overcome the consistency issues of previously reported metabolic biomarkers by adding robustness to the human studies with mouse data integration. For prostate cancer therapy, we will focus on a cell population for which the metabolic requirements and the potential of targeting them for therapy have been overlooked to date, that is the prostate cancer-initiating cell compartment.
Max ERC Funding
1 498 686 €
Duration
Start date: 2013-11-01, End date: 2019-10-31
Project acronym CDAC
Project "The role of consciousness in adaptive behavior: A combined empirical, computational and robot based approach"
Researcher (PI) Paulus Franciscus Maria Joseph Verschure
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Advanced Grant (AdG), SH4, ERC-2013-ADG
Summary "Understanding the nature of consciousness is one of the grand outstanding scientific challenges and two of its features stand out: consciousness is defined as the construction of one coherent scene but this scene is experienced with a delay relative to the action of the agent and not necessarily the cause of actions and thoughts. Did evolution render solutions to the challenge of survival that includes epiphenomenal processes? The Conscious Distributed Adaptive Control (CDAC) project aims at resolving this paradox by using a multi-disciplinary approach to show the functional role of consciousness in adaptive behaviour, to identify its underlying neuronal principles and to construct a neuromorphic robot based real-time conscious architecture. CDAC proposes that the shift from surviving in a physical world to one that is dominated by intentional agents requires radically different control architectures combining parallel and distributed control loops to assure real-time operation together with a second level of control that assures coherence through sequential coherent representation of self and the task domain, i.e. consciousness. This conscious scene is driving dedicated credit assignment and planning beyond the immediately given information. CDAC advances a comprehensive framework progressing beyond the state of the art and will be realized using system level models of a conscious architecture, detailed computational studies of its underlying neuronal substrate focusing, empirical validation with a humanoid robot and stroke patients and the advancement of beyond state of the art tools appropriate to the complexity of its objectives. The CDAC project directly addresses one of the main outstanding questions in science: the function and genesis of consciousness and will advance our understanding of mind and brain, provide radically new neurorehabilitation technologies and contribute to realizing a new generation of robots with advanced social competence."
Summary
"Understanding the nature of consciousness is one of the grand outstanding scientific challenges and two of its features stand out: consciousness is defined as the construction of one coherent scene but this scene is experienced with a delay relative to the action of the agent and not necessarily the cause of actions and thoughts. Did evolution render solutions to the challenge of survival that includes epiphenomenal processes? The Conscious Distributed Adaptive Control (CDAC) project aims at resolving this paradox by using a multi-disciplinary approach to show the functional role of consciousness in adaptive behaviour, to identify its underlying neuronal principles and to construct a neuromorphic robot based real-time conscious architecture. CDAC proposes that the shift from surviving in a physical world to one that is dominated by intentional agents requires radically different control architectures combining parallel and distributed control loops to assure real-time operation together with a second level of control that assures coherence through sequential coherent representation of self and the task domain, i.e. consciousness. This conscious scene is driving dedicated credit assignment and planning beyond the immediately given information. CDAC advances a comprehensive framework progressing beyond the state of the art and will be realized using system level models of a conscious architecture, detailed computational studies of its underlying neuronal substrate focusing, empirical validation with a humanoid robot and stroke patients and the advancement of beyond state of the art tools appropriate to the complexity of its objectives. The CDAC project directly addresses one of the main outstanding questions in science: the function and genesis of consciousness and will advance our understanding of mind and brain, provide radically new neurorehabilitation technologies and contribute to realizing a new generation of robots with advanced social competence."
Max ERC Funding
2 469 268 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym CELLPLASTICITY
Project New Frontiers in Cellular Reprogramming: Exploiting Cellular Plasticity
Researcher (PI) Manuel SERRANO MARUGAN
Host Institution (HI) FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA)
Call Details Advanced Grant (AdG), LS4, ERC-2014-ADG
Summary "Our research group has worked over the years at the interface between cancer and ageing, with a strong emphasis on mouse models. More recently, we became interested in cellular reprogramming because we hypothesized that understanding cellular plasticity could yield new insights into cancer and ageing. Indeed, during the previous ERC Advanced Grant, we made relevant contributions to the fields of cellular reprogramming (Nature 2013), cellular senescence (Cell 2013), cancer (Cancer Cell 2012), and ageing (Cell Metabolism 2012). Now, we take advantage of our diverse background and integrate the above processes. Our unifying hypothesis is that cellular plasticity lies at the basis of tissue regeneration (“adaptive cellular plasticity”), as well as at the origin of cancer (“maladaptive gain of cellular plasticity”) and ageing (“maladaptive loss of cellular plasticity”). A key experimental system will be our “reprogrammable mice” (with inducible expression of the four Yamanaka factors), which we regard as a tool to induce cellular plasticity in vivo. The project is divided as follows: Objective #1 – Cellular plasticity and cancer: role of tumour suppressors in in vivo de-differentiation and reprogramming / impact of transient de-differentiation on tumour initiation / lineage tracing of Oct4 to determine whether a transient pluripotent-state occurs during cancer. Objective #2 – Cellular plasticity in tissue regeneration and ageing: impact of transient de-differentiation on tissue regeneration / contribution of the damage-induced microenvironment to tissue regeneration / impact of transient de-differentiation on ageing. Objective #3: New frontiers in cellular plasticity: chemical manipulation of cellular plasticity in vivo / new states of pluripotency / characterization of in vivo induced pluripotency and its unique properties. We anticipate that the completion of this project will yield new fundamental insights into cancer, regeneration and ageing."
Summary
"Our research group has worked over the years at the interface between cancer and ageing, with a strong emphasis on mouse models. More recently, we became interested in cellular reprogramming because we hypothesized that understanding cellular plasticity could yield new insights into cancer and ageing. Indeed, during the previous ERC Advanced Grant, we made relevant contributions to the fields of cellular reprogramming (Nature 2013), cellular senescence (Cell 2013), cancer (Cancer Cell 2012), and ageing (Cell Metabolism 2012). Now, we take advantage of our diverse background and integrate the above processes. Our unifying hypothesis is that cellular plasticity lies at the basis of tissue regeneration (“adaptive cellular plasticity”), as well as at the origin of cancer (“maladaptive gain of cellular plasticity”) and ageing (“maladaptive loss of cellular plasticity”). A key experimental system will be our “reprogrammable mice” (with inducible expression of the four Yamanaka factors), which we regard as a tool to induce cellular plasticity in vivo. The project is divided as follows: Objective #1 – Cellular plasticity and cancer: role of tumour suppressors in in vivo de-differentiation and reprogramming / impact of transient de-differentiation on tumour initiation / lineage tracing of Oct4 to determine whether a transient pluripotent-state occurs during cancer. Objective #2 – Cellular plasticity in tissue regeneration and ageing: impact of transient de-differentiation on tissue regeneration / contribution of the damage-induced microenvironment to tissue regeneration / impact of transient de-differentiation on ageing. Objective #3: New frontiers in cellular plasticity: chemical manipulation of cellular plasticity in vivo / new states of pluripotency / characterization of in vivo induced pluripotency and its unique properties. We anticipate that the completion of this project will yield new fundamental insights into cancer, regeneration and ageing."
Max ERC Funding
2 488 850 €
Duration
Start date: 2015-10-01, End date: 2020-09-30
Project acronym DeAge
Project Deconstructing Ageing: from molecular mechanisms to intervention strategies
Researcher (PI) Carlos LOPEZ OTIN
Host Institution (HI) UNIVERSIDAD DE OVIEDO
Call Details Advanced Grant (AdG), LS4, ERC-2016-ADG
Summary Over many years, our research group has explored the complex relationship between cancer and ageing. As part of this work, we have generated mouse models of protease deficiency which are protected from cancer but exhibit accelerated ageing. Further studies with these mice have allowed us to unveil novel mechanisms of both normal and pathological ageing, to discover two new human progeroid syndromes, and to develop therapies for the Hutchinson-Gilford progeria syndrome, now in clinical trials. We have also integrated data from many laboratories to first define The hallmarks of ageing and the current possibilities for Metabolic control of longevity. Now, we propose to leverage our extensive experience in this field to further explore the relative relevance of cell-intrinsic and -extrinsic mechanisms of ageing. Our central hypothesis is that ageing derives from the combination of both systemic and cell-autonomous deficiencies which lead to the characteristic loss of fitness associated with this process. Accordingly, it is necessary to integrate multiple approaches to understand the mechanisms underlying ageing. This integrative and multidisciplinary project is organized around three major aims: 1) to characterize critical cell-intrinsic alterations which drive ageing; 2) to investigate ageing as a systemic process; and 3) to design intervention strategies aimed at expanding longevity. To fully address these objectives, we will use both hypothesis-driven and unbiased approaches, including next-generation sequencing, genome editing, and cell reprogramming. We will also perform in vivo experiments with mouse models of premature ageing, genomic and metagenomic studies with short- and long-lived organisms, and functional analyses with human samples from both progeria patients and centenarians. The information derived from this project will provide new insights into the molecular mechanisms of ageing and may lead to discover new opportunities to extend human healthspan.
Summary
Over many years, our research group has explored the complex relationship between cancer and ageing. As part of this work, we have generated mouse models of protease deficiency which are protected from cancer but exhibit accelerated ageing. Further studies with these mice have allowed us to unveil novel mechanisms of both normal and pathological ageing, to discover two new human progeroid syndromes, and to develop therapies for the Hutchinson-Gilford progeria syndrome, now in clinical trials. We have also integrated data from many laboratories to first define The hallmarks of ageing and the current possibilities for Metabolic control of longevity. Now, we propose to leverage our extensive experience in this field to further explore the relative relevance of cell-intrinsic and -extrinsic mechanisms of ageing. Our central hypothesis is that ageing derives from the combination of both systemic and cell-autonomous deficiencies which lead to the characteristic loss of fitness associated with this process. Accordingly, it is necessary to integrate multiple approaches to understand the mechanisms underlying ageing. This integrative and multidisciplinary project is organized around three major aims: 1) to characterize critical cell-intrinsic alterations which drive ageing; 2) to investigate ageing as a systemic process; and 3) to design intervention strategies aimed at expanding longevity. To fully address these objectives, we will use both hypothesis-driven and unbiased approaches, including next-generation sequencing, genome editing, and cell reprogramming. We will also perform in vivo experiments with mouse models of premature ageing, genomic and metagenomic studies with short- and long-lived organisms, and functional analyses with human samples from both progeria patients and centenarians. The information derived from this project will provide new insights into the molecular mechanisms of ageing and may lead to discover new opportunities to extend human healthspan.
Max ERC Funding
2 456 250 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym DecodeDiabetes
Project Expanding the genetic etiological and diagnostic spectrum of monogenic diabetes mellitus
Researcher (PI) Jorge FERRER
Host Institution (HI) FUNDACIO CENTRE DE REGULACIO GENOMICA
Call Details Advanced Grant (AdG), LS4, ERC-2017-ADG
Summary Whole genome sequencing is quickly becoming a routine clinical instrument. However, our ability to decipher DNA variants is still largely limited to protein-coding exons, which comprise 1% of the genome. Most known Mendelian mutations are in exons, yet genetic testing still fails to show causal coding mutations in more than 50% of well-characterized Mendelian disorders. This defines a pressing need to interpret noncoding genome sequences, and to establish the role of noncoding mutations in Mendelian disease.
A recent case study harnessed whole genome sequencing, epigenomics, and functional genomics to show that mutations in an enhancer cause most cases of neonatal diabetes due to pancreas agenesis. This example raises major questions: (i) what is the overall impact of penetrant regulatory mutations in human diabetes? (ii) do regulatory mutations cause distinct forms of diabetes? (iii) more generally, can we develop a strategy to systematically tackle regulatory variation in Mendelian disease?
The current project will address these questions with unique resources. First, we have created epigenomic and functional perturbation resources to interpret the regulatory genome in embryonic pancreas and adult pancreatic islets. Second, we have collected an unprecedented international cohort of patients with a phenotype consistent with monogenic diabetes, yet lacking mutations in known gene culprits after genetic testing, and therefore with increased likelihood of harboring noncoding mutations. Third, we have developed a prototype platform to sequence regulatory mutations in a large number of patients.
These resources will be combined with innovative strategies to uncover causal enhancer mutations underlying Mendelian diabetes. If successful, this project will expand the diagnostic spectrum of diabetes, it will discover new genetic regulators of diabetes-relevant networks, and will provide a framework to understand regulatory variation in Mendelian disease.
Summary
Whole genome sequencing is quickly becoming a routine clinical instrument. However, our ability to decipher DNA variants is still largely limited to protein-coding exons, which comprise 1% of the genome. Most known Mendelian mutations are in exons, yet genetic testing still fails to show causal coding mutations in more than 50% of well-characterized Mendelian disorders. This defines a pressing need to interpret noncoding genome sequences, and to establish the role of noncoding mutations in Mendelian disease.
A recent case study harnessed whole genome sequencing, epigenomics, and functional genomics to show that mutations in an enhancer cause most cases of neonatal diabetes due to pancreas agenesis. This example raises major questions: (i) what is the overall impact of penetrant regulatory mutations in human diabetes? (ii) do regulatory mutations cause distinct forms of diabetes? (iii) more generally, can we develop a strategy to systematically tackle regulatory variation in Mendelian disease?
The current project will address these questions with unique resources. First, we have created epigenomic and functional perturbation resources to interpret the regulatory genome in embryonic pancreas and adult pancreatic islets. Second, we have collected an unprecedented international cohort of patients with a phenotype consistent with monogenic diabetes, yet lacking mutations in known gene culprits after genetic testing, and therefore with increased likelihood of harboring noncoding mutations. Third, we have developed a prototype platform to sequence regulatory mutations in a large number of patients.
These resources will be combined with innovative strategies to uncover causal enhancer mutations underlying Mendelian diabetes. If successful, this project will expand the diagnostic spectrum of diabetes, it will discover new genetic regulators of diabetes-relevant networks, and will provide a framework to understand regulatory variation in Mendelian disease.
Max ERC Funding
2 243 746 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym DYSTRUCTURE
Project The Dynamical and Structural Basis of Human Mind Complexity: Segregation and Integration of Information and Processing in the Brain
Researcher (PI) Gustavo Deco
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Advanced Grant (AdG), SH4, ERC-2011-ADG_20110406
Summary "Perceptions, memories, emotions, and everything that makes us human, demand the flexible integration of information represented and computed in a distributed manner. The human brain is structured into a large number of areas in which information and computation are highly segregated. Normal brain functions require the integration of functionally specialized but widely distributed brain areas. Furthermore, human behavior entails a flexible task- dependent interplay between different subsets of these brain areas in order to integrate them according to the corresponding goal-directed requirements. We contend that the functional and encoding roles of diverse neuronal populations across areas are subject to intra- and inter-cortical dynamics. More concretely, we hypothesize that coherent oscillations within frequency-specific large-scale networks and coherent structuring of the underlying fluctuations are crucial mechanisms for the flexible integration of distributed processing and interaction of representations.
The project aims to elucidate precisely the interplay and mutual entrainment between local brain area dynamics and global network dynamics and their breakdown in brain diseases. We wish to better understand how segregated distributed information and processing are integrated in a flexible and context-dependent way as required for goal-directed behavior. It will allow us to comprehend the mechanisms underlying brain functions by complementing structural and activation based analyses with dynamics. We expect to gain a full explanation of the mechanisms that mediate the interactions between global and local spatio-temporal patterns of activity revealed at many levels of observations (fMRI, EEG, MEG) in humans under task and resting conditions, complemented and further constrained by using more detailed characterization of brain dynamics via Local Field Potentials and neuronal recording in animals under task and resting conditions."
Summary
"Perceptions, memories, emotions, and everything that makes us human, demand the flexible integration of information represented and computed in a distributed manner. The human brain is structured into a large number of areas in which information and computation are highly segregated. Normal brain functions require the integration of functionally specialized but widely distributed brain areas. Furthermore, human behavior entails a flexible task- dependent interplay between different subsets of these brain areas in order to integrate them according to the corresponding goal-directed requirements. We contend that the functional and encoding roles of diverse neuronal populations across areas are subject to intra- and inter-cortical dynamics. More concretely, we hypothesize that coherent oscillations within frequency-specific large-scale networks and coherent structuring of the underlying fluctuations are crucial mechanisms for the flexible integration of distributed processing and interaction of representations.
The project aims to elucidate precisely the interplay and mutual entrainment between local brain area dynamics and global network dynamics and their breakdown in brain diseases. We wish to better understand how segregated distributed information and processing are integrated in a flexible and context-dependent way as required for goal-directed behavior. It will allow us to comprehend the mechanisms underlying brain functions by complementing structural and activation based analyses with dynamics. We expect to gain a full explanation of the mechanisms that mediate the interactions between global and local spatio-temporal patterns of activity revealed at many levels of observations (fMRI, EEG, MEG) in humans under task and resting conditions, complemented and further constrained by using more detailed characterization of brain dynamics via Local Field Potentials and neuronal recording in animals under task and resting conditions."
Max ERC Funding
2 467 530 €
Duration
Start date: 2012-07-01, End date: 2017-06-30
Project acronym editCRC
Project A genome editing-based approach to study the stem cell hierarchy of human colorectal cancers
Researcher (PI) Eduardo Batlle Gómez
Host Institution (HI) FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA)
Call Details Advanced Grant (AdG), LS4, ERC-2013-ADG
Summary A hallmark of cancer is tumor cell heterogeneity, which results from combinations of multiple genetic and epigenetic alterations within an individual tumor. In contrast, we have recently discovered that most human colorectal cancers (CRCs) are composed of mixtures of phenotypically distinct tumor cells organized into a stem cell hierarchy that displays a striking resemblance to the healthy colonic epithelium. We showed that long-term regeneration potential of tumor cells is largely influenced by the position that they occupy within the tumor's hierarchy. To analyze the organization of CRCs without the constraints imposed by tumor cell transplantation experiments, we have developed a method that allows for the first time tracking and manipulating the fate of specific cell populations in whole human tumors. This technology is based on editing the genomes of primary human CRCs cultured in the form of tumor organoids using Zinc-Finger Nucleases to knock-in either lineage tracing or cell ablation alleles in genes that define colorectal cancer stem cells (CRC-SCs) or differentiated-like tumor cells. Edited tumor organoids generate CRCs in mice that reproduce the tumor of origin while carrying the desired genetic modifications. This technological advance opens the gate to perform classical genetic and developmental analysis in human tumors. We will exploit this advantage to address fundamental questions about the cell heterogeneity and organization of human CRCs that cannot be tackled through currently existing experimental approaches such as: Are CRC-SCs the only tumor cell population with long term regenerating potential? Can we cure CRC with anti-CRC-SC specific therapies? Will tumor cell plasticity contribute to the regeneration of the CRC-SC pool after therapy? Do quiescent-SCs regenerate CRC tumors after standard chemotherapy? Can we identify these cells? How do common genetic alterations in CRC influence the CRC hierarchy? Do they affect the stem cell phenotype?
Summary
A hallmark of cancer is tumor cell heterogeneity, which results from combinations of multiple genetic and epigenetic alterations within an individual tumor. In contrast, we have recently discovered that most human colorectal cancers (CRCs) are composed of mixtures of phenotypically distinct tumor cells organized into a stem cell hierarchy that displays a striking resemblance to the healthy colonic epithelium. We showed that long-term regeneration potential of tumor cells is largely influenced by the position that they occupy within the tumor's hierarchy. To analyze the organization of CRCs without the constraints imposed by tumor cell transplantation experiments, we have developed a method that allows for the first time tracking and manipulating the fate of specific cell populations in whole human tumors. This technology is based on editing the genomes of primary human CRCs cultured in the form of tumor organoids using Zinc-Finger Nucleases to knock-in either lineage tracing or cell ablation alleles in genes that define colorectal cancer stem cells (CRC-SCs) or differentiated-like tumor cells. Edited tumor organoids generate CRCs in mice that reproduce the tumor of origin while carrying the desired genetic modifications. This technological advance opens the gate to perform classical genetic and developmental analysis in human tumors. We will exploit this advantage to address fundamental questions about the cell heterogeneity and organization of human CRCs that cannot be tackled through currently existing experimental approaches such as: Are CRC-SCs the only tumor cell population with long term regenerating potential? Can we cure CRC with anti-CRC-SC specific therapies? Will tumor cell plasticity contribute to the regeneration of the CRC-SC pool after therapy? Do quiescent-SCs regenerate CRC tumors after standard chemotherapy? Can we identify these cells? How do common genetic alterations in CRC influence the CRC hierarchy? Do they affect the stem cell phenotype?
Max ERC Funding
2 499 405 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym EndoMitTalk
Project Endolysosomal-mitochondria crosstalk in cell and organism homeostasis
Researcher (PI) María MITTELBRUM
Host Institution (HI) UNIVERSIDAD AUTONOMA DE MADRID
Call Details Starting Grant (StG), LS4, ERC-2016-STG
Summary For many years, mitochondria were viewed as semiautonomous organelles, required only for cellular energetics. This view has been displaced by the concept that mitochondria are fully integrated into the life of the cell and that mitochondrial function and stress response rapidly affect other organelles, and even other tissues. A recent discovery from my lab demonstrated that mitochondrial metabolism regulates lysosomal degradation (Cell Metabolism, 2015), thus opening the way to investigate the mechanism behind communication between these organelles and its consequences for homeostasis. With this proposal, we want to assess how mitochondrial crosstalk with endolysosomal compartment controls cellular homeostasis and how mitochondrial dysfunction in certain tissues may account for systemic effects on the rest of the organism. EndoMitTalk will deliver significant breakthroughs on (1) the molecular mediators of endolysosomal-mitochondria communication, and how deregulation of this crosstalk alters cellular (2), and organism homeostasis (3). Our central goals are: 1a,b. To identify metabolic and physical connections mediating endolysosomal-mitochondria crosstalk; 2a. To decode the consequences of altered interorganelle communication in cellular homeostasis 2b. To study the therapeutic potential of improving lysosomal function in respiration-deficient cells; 3a. To assess how unresolved organelle dysfunction and metabolic stresses exclusively in immune cells affects organism homeostasis and lifespan. 3b. To decipher the molecular mediators by which organelle dysfunction in T cells contributes to age-associated diseases, with special focus in cardiorenal and metabolic syndromes. In sum, EndoMitTalk puts forward an ambitious and multidisciplinary but feasible program with the wide purpose of understanding and improving clinical interventions in mitochondrial diseases and age-related pathologies.
Summary
For many years, mitochondria were viewed as semiautonomous organelles, required only for cellular energetics. This view has been displaced by the concept that mitochondria are fully integrated into the life of the cell and that mitochondrial function and stress response rapidly affect other organelles, and even other tissues. A recent discovery from my lab demonstrated that mitochondrial metabolism regulates lysosomal degradation (Cell Metabolism, 2015), thus opening the way to investigate the mechanism behind communication between these organelles and its consequences for homeostasis. With this proposal, we want to assess how mitochondrial crosstalk with endolysosomal compartment controls cellular homeostasis and how mitochondrial dysfunction in certain tissues may account for systemic effects on the rest of the organism. EndoMitTalk will deliver significant breakthroughs on (1) the molecular mediators of endolysosomal-mitochondria communication, and how deregulation of this crosstalk alters cellular (2), and organism homeostasis (3). Our central goals are: 1a,b. To identify metabolic and physical connections mediating endolysosomal-mitochondria crosstalk; 2a. To decode the consequences of altered interorganelle communication in cellular homeostasis 2b. To study the therapeutic potential of improving lysosomal function in respiration-deficient cells; 3a. To assess how unresolved organelle dysfunction and metabolic stresses exclusively in immune cells affects organism homeostasis and lifespan. 3b. To decipher the molecular mediators by which organelle dysfunction in T cells contributes to age-associated diseases, with special focus in cardiorenal and metabolic syndromes. In sum, EndoMitTalk puts forward an ambitious and multidisciplinary but feasible program with the wide purpose of understanding and improving clinical interventions in mitochondrial diseases and age-related pathologies.
Max ERC Funding
1 498 625 €
Duration
Start date: 2017-03-01, End date: 2022-02-28
Project acronym EPINORC
Project Epigenetic Disruption of Non-Coding RNAs in Human Cancer
Researcher (PI) Manel Esteller Badosa
Host Institution (HI) FUNDACIO INSTITUT D'INVESTIGACIO BIOMEDICA DE BELLVITGE
Call Details Advanced Grant (AdG), LS4, ERC-2010-AdG_20100317
Summary In recent years, my laboratory, as well as others, have established the observation that epigenetic disruption, particularly in the DNA methylation and histone modification patterns, contributes to the initiation and progression of human tumors (Esteller, Nat Rev Genet 2007; Esteller, N Engl J Med 2008; Esteller, Nat Rev Biotech, In Press, 2010). Even more recently, it has been recognized that microRNAs, small non-coding RNAs that are thought to regulate gene expression by sequence-specific base pairing in mRNA targets, also play a key role in the biology of the cell, and that they can also have an impact in the development of many diseases, including cancer (le Sage and Agami, 2006; Blenkiron and Miska, 2007). However, there is little understanding about epigenetic modifications that might regulate the activity of microRNAs and other non-coding RNAs (ncRNAs), such as long non-coding RNAs (lncRNAs), Piwi-interacting RNAs (piRNAs), small-interfering RNAs (siRNAs), transcribed ultraconserved regions (T-UCRs), small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), long interspersed ncRNAs (lincRNAs), promoter-associated RNAs (PASRs and PALRs) and terminator-associated sRNAs (TASRs) (Calin et al., 2007; Mercer, et al., 2009; Ghildiyal & Zamore, 2009; Jacquier, 2009). Our ignorance in this respect is even more significant if we consider these questions in the domain of cancer. Making best use of our expertise in several of these fields, my group will tackle the study of the epigenetic modifications that regulate ncRNA expression and how the DNA methylation and histone modifications profiles of these loci might become distorted in human cancer. These findings could have profound consequences not only in the understading of tumor biology, but in the design of better molecular staging, diagnosis and treatments of human malignancies.
Summary
In recent years, my laboratory, as well as others, have established the observation that epigenetic disruption, particularly in the DNA methylation and histone modification patterns, contributes to the initiation and progression of human tumors (Esteller, Nat Rev Genet 2007; Esteller, N Engl J Med 2008; Esteller, Nat Rev Biotech, In Press, 2010). Even more recently, it has been recognized that microRNAs, small non-coding RNAs that are thought to regulate gene expression by sequence-specific base pairing in mRNA targets, also play a key role in the biology of the cell, and that they can also have an impact in the development of many diseases, including cancer (le Sage and Agami, 2006; Blenkiron and Miska, 2007). However, there is little understanding about epigenetic modifications that might regulate the activity of microRNAs and other non-coding RNAs (ncRNAs), such as long non-coding RNAs (lncRNAs), Piwi-interacting RNAs (piRNAs), small-interfering RNAs (siRNAs), transcribed ultraconserved regions (T-UCRs), small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), long interspersed ncRNAs (lincRNAs), promoter-associated RNAs (PASRs and PALRs) and terminator-associated sRNAs (TASRs) (Calin et al., 2007; Mercer, et al., 2009; Ghildiyal & Zamore, 2009; Jacquier, 2009). Our ignorance in this respect is even more significant if we consider these questions in the domain of cancer. Making best use of our expertise in several of these fields, my group will tackle the study of the epigenetic modifications that regulate ncRNA expression and how the DNA methylation and histone modifications profiles of these loci might become distorted in human cancer. These findings could have profound consequences not only in the understading of tumor biology, but in the design of better molecular staging, diagnosis and treatments of human malignancies.
Max ERC Funding
2 497 240 €
Duration
Start date: 2011-04-01, End date: 2016-03-31
Project acronym FASTPARSE
Project Fast Natural Language Parsing for Large-Scale NLP
Researcher (PI) Carlos GÓMEZ RODRÍGUEZ
Host Institution (HI) UNIVERSIDADE DA CORUNA
Call Details Starting Grant (StG), SH4, ERC-2016-STG
Summary The popularization of information technology and the Internet has resulted in an unprecedented growth in the scale at which individuals and institutions generate, communicate and access information. In this context, the effective leveraging of the vast amounts of available data to discover and address people's needs is a fundamental problem of modern societies.
Since most of this circulating information is in the form of written or spoken human language, natural language processing (NLP) technologies are a key asset for this crucial goal. NLP can be used to break language barriers (machine translation), find required information (search engines, question answering), monitor public opinion (opinion mining), or digest large amounts of unstructured text into more convenient forms (information extraction, summarization), among other applications.
These and other NLP technologies rely on accurate syntactic parsing to extract or analyze the meaning of sentences. Unfortunately, current state-of-the-art parsing algorithms have high computational costs, processing less than a hundred sentences per second on standard hardware. While this is acceptable for working on small sets of documents, it is clearly prohibitive for large-scale processing, and thus constitutes a major roadblock for the widespread application of NLP.
The goal of this project is to eliminate this bottleneck by developing fast parsers that are suitable for web-scale processing. To do so, FASTPARSE will improve the speed of parsers on several fronts: by avoiding redundant calculations through the reuse of intermediate results from previous sentences; by applying a cognitively-inspired model to compress and recode linguistic information; and by exploiting regularities in human language to find patterns that the parsers can take for granted, avoiding their explicit calculation. The joint application of these techniques will result in much faster parsers that can power all kinds of web-scale NLP applications.
Summary
The popularization of information technology and the Internet has resulted in an unprecedented growth in the scale at which individuals and institutions generate, communicate and access information. In this context, the effective leveraging of the vast amounts of available data to discover and address people's needs is a fundamental problem of modern societies.
Since most of this circulating information is in the form of written or spoken human language, natural language processing (NLP) technologies are a key asset for this crucial goal. NLP can be used to break language barriers (machine translation), find required information (search engines, question answering), monitor public opinion (opinion mining), or digest large amounts of unstructured text into more convenient forms (information extraction, summarization), among other applications.
These and other NLP technologies rely on accurate syntactic parsing to extract or analyze the meaning of sentences. Unfortunately, current state-of-the-art parsing algorithms have high computational costs, processing less than a hundred sentences per second on standard hardware. While this is acceptable for working on small sets of documents, it is clearly prohibitive for large-scale processing, and thus constitutes a major roadblock for the widespread application of NLP.
The goal of this project is to eliminate this bottleneck by developing fast parsers that are suitable for web-scale processing. To do so, FASTPARSE will improve the speed of parsers on several fronts: by avoiding redundant calculations through the reuse of intermediate results from previous sentences; by applying a cognitively-inspired model to compress and recode linguistic information; and by exploiting regularities in human language to find patterns that the parsers can take for granted, avoiding their explicit calculation. The joint application of these techniques will result in much faster parsers that can power all kinds of web-scale NLP applications.
Max ERC Funding
1 481 747 €
Duration
Start date: 2017-02-01, End date: 2022-01-31
Project acronym GALACTICNUCLEUS
Project The Fingerprint of a Galactic Nucleus: A Multi-Wavelength, High-Angular Resolution, Near-Infrared Study of the Centre of the Milky Way
Researcher (PI) Rainer Schödel
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary Galactic stellar nuclei are very common in all types of galaxies and are marked by the presence of nuclear star clusters, the densest and most massive star clusters in the present-day Universe. Their formation is still an unresolved puzzle. The centre of the Milky Way contains a massive black hole and a stellar nucleus and is orders of magnitude closer than any comparable target. It is the only galactic nucleus and the most extreme astrophysical environment that we can examine on scales of milli-parsecs. It is therefore a crucial laboratory for studying galactic nuclei and their role in the context of galaxy evolution. Yet, suitable data that would allow us to examine the stellar component of the Galactic Centre exist for less than 1% of its projected area. Moreover, the well-explored regions are extraordinary, like the central parsec around the massive black hole, and therefore probably not representative for the overall environment. Fundamental questions on the stellar population, structure and assembly history of the Galactic Centre remain therefore unanswered. This project aims at addressing the open questions by obtaining accurate, high-angular resolution, multi-wavelength near-infrared photometry for an area of several 100 pc^2, a more than ten-fold increase compared to the current state of affairs. The Galactic Centre presents unique observational challenges because of a combination of high extinction and extreme stellar crowding. It is therefore not adequately covered by existing or upcoming imaging surveys. I present a project that is specifically tailored to overcome these observational challenges. In particular, I have developed a key technique to obtain the necessary sensitive, high-angular resolution images with a stable point spread function over large, crowded fields. It works with a range of existing ground-based instruments and will serve to complement existing data to provide a global and detailed picture of the stellar nucleus of the Milky Way.
Summary
Galactic stellar nuclei are very common in all types of galaxies and are marked by the presence of nuclear star clusters, the densest and most massive star clusters in the present-day Universe. Their formation is still an unresolved puzzle. The centre of the Milky Way contains a massive black hole and a stellar nucleus and is orders of magnitude closer than any comparable target. It is the only galactic nucleus and the most extreme astrophysical environment that we can examine on scales of milli-parsecs. It is therefore a crucial laboratory for studying galactic nuclei and their role in the context of galaxy evolution. Yet, suitable data that would allow us to examine the stellar component of the Galactic Centre exist for less than 1% of its projected area. Moreover, the well-explored regions are extraordinary, like the central parsec around the massive black hole, and therefore probably not representative for the overall environment. Fundamental questions on the stellar population, structure and assembly history of the Galactic Centre remain therefore unanswered. This project aims at addressing the open questions by obtaining accurate, high-angular resolution, multi-wavelength near-infrared photometry for an area of several 100 pc^2, a more than ten-fold increase compared to the current state of affairs. The Galactic Centre presents unique observational challenges because of a combination of high extinction and extreme stellar crowding. It is therefore not adequately covered by existing or upcoming imaging surveys. I present a project that is specifically tailored to overcome these observational challenges. In particular, I have developed a key technique to obtain the necessary sensitive, high-angular resolution images with a stable point spread function over large, crowded fields. It works with a range of existing ground-based instruments and will serve to complement existing data to provide a global and detailed picture of the stellar nucleus of the Milky Way.
Max ERC Funding
1 547 657 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym icyMARS
Project Cold and wet early Mars: Proposing and testing a new theory to understand the early Martian environments
Researcher (PI) Alberto Gonzalez Fairen
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Starting Grant (StG), PE9, ERC-2012-StG_20111012
Summary Geologic evidence indicative of flowing and ponding liquid water on the surface of ancient Mars appears abundantly across most of the Martian landscape, indicating that liquid water was present in variable amounts and for long periods of time on and/or near the surface at different moments of Mars’ early history, the Noachian era. Early Mars appears to have been “wet”. However, the presence of liquid water on the surface of early Mars is difficult to reconcile with the reduced solar luminosity at 3.8 Ga. and before, which would have imposed mean temperatures below freezing all over the planet. Atmospheric greenhouse gases and carbon dioxide ice clouds in the upper troposphere are suggested to provide over freezing temperatures, explaining some of this discrepancy, but these solutions have been probed to face numerous problems. So, it is difficult to explain the early Martian hydrology invoking global “warm” conditions. Here I propose to conduct interdisciplinary investigations in order to define and test a new hypothesis to understand the early environmental traits on Mars: that the young Martian surface was characterized by global mean freezing conditions, as predicted by climate models, and at the same time a vigorous hydrogeological cycle was active during hundreds of millions of years, as confirmed by geomorphological and mineralogical analyses. The aim of this investigation is to comprehensively analyze the triggers, traits and consequences of a cold aqueous environment dominating the Noachian, studying the geomorphological, mineralogical and geochemical evidences that such a hydrological cycle would have left behind, and also proposing new paths for the astrobiological exploration of Mars on the basis of geochemical and geomicrobiological studies in cold aqueous environments. Mission-derived datasets will be used to test hypotheses through paleogeomorphological reconstructions, theoretical modeling and experiments in the laboratory.
Summary
Geologic evidence indicative of flowing and ponding liquid water on the surface of ancient Mars appears abundantly across most of the Martian landscape, indicating that liquid water was present in variable amounts and for long periods of time on and/or near the surface at different moments of Mars’ early history, the Noachian era. Early Mars appears to have been “wet”. However, the presence of liquid water on the surface of early Mars is difficult to reconcile with the reduced solar luminosity at 3.8 Ga. and before, which would have imposed mean temperatures below freezing all over the planet. Atmospheric greenhouse gases and carbon dioxide ice clouds in the upper troposphere are suggested to provide over freezing temperatures, explaining some of this discrepancy, but these solutions have been probed to face numerous problems. So, it is difficult to explain the early Martian hydrology invoking global “warm” conditions. Here I propose to conduct interdisciplinary investigations in order to define and test a new hypothesis to understand the early environmental traits on Mars: that the young Martian surface was characterized by global mean freezing conditions, as predicted by climate models, and at the same time a vigorous hydrogeological cycle was active during hundreds of millions of years, as confirmed by geomorphological and mineralogical analyses. The aim of this investigation is to comprehensively analyze the triggers, traits and consequences of a cold aqueous environment dominating the Noachian, studying the geomorphological, mineralogical and geochemical evidences that such a hydrological cycle would have left behind, and also proposing new paths for the astrobiological exploration of Mars on the basis of geochemical and geomicrobiological studies in cold aqueous environments. Mission-derived datasets will be used to test hypotheses through paleogeomorphological reconstructions, theoretical modeling and experiments in the laboratory.
Max ERC Funding
1 411 200 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym INFANTLEUKEMIA
Project GENOMIC, CELLULAR AND DEVELOPMENTAL RECONSTRUCTION OFINFANT MLL-AF4+ ACUTE LYMPHOBLASTIC LEUKEMIA
Researcher (PI) Pablo Menendez Buján
Host Institution (HI) FUNDACIO INSTITUT DE RECERCA CONTRA LA LEUCEMIA JOSEP CARRERAS
Call Details Consolidator Grant (CoG), LS4, ERC-2014-CoG
Summary Infant cancer is very distinct to adult cancer and it is progressively seen as a developmental disease. An intriguing infant cancer is the t(4;11) acute lymphoblastic leukemia (ALL) characterized by the hallmark rearrangement MLL-AF4 (MA4), and associated with dismal prognosis. The 100% concordance in twins and its prenatal onset suggest an extremely rapid disease progression. Many key issues remain elusive:
Is MA4 leukemogenic?
Which are other relevant oncogenic drivers?
Which is the nature of the cell transformed by MA4?
Which is the leukemia-initiating cell (LIC)?
Does this ALL follow a hierarchical or stochastic cancer model?
How to explain therapy resistance and CNS involvement?
To what extent do genetics vs epigenetics contribute this ALL?
These questions remain a challenge due to: 1) the absence of prospective studies on diagnostic/remission-matched samples, 2) the lack of models which faithfully reproduce the disease and 3) a surprising genomic stability of this ALL.
I hypothesize that a Multilayer-Omics to function approach in patient blasts and early human hematopoietic stem/progenitor cells (HSPC) is required to fully scrutinize the biology underlying this life-threatening leukemia. I will perform genome-wide studies on the mutational landscape, DNA and H3K79 methylation profiles, and transcriptome on a uniquely available, large cohort of diagnostic/remission-matched samples. Omics data integration will provide unprecedented information about oncogenic drivers which must be analyzed in ground-breaking functional assays using patient blasts and early HSPCs carrying a CRISPR/Cas9-mediated locus/allele-specific t(4;11). Serial xenografts combined with exome-seq in paired diagnostic samples and xenografts will identify the LIC and determine whether variegated genetics may underlie clonal functional heterogeneity. This project will provide a precise understanding and a disease model for MA4+ ALL, offering a platform for new treatment strategies.
Summary
Infant cancer is very distinct to adult cancer and it is progressively seen as a developmental disease. An intriguing infant cancer is the t(4;11) acute lymphoblastic leukemia (ALL) characterized by the hallmark rearrangement MLL-AF4 (MA4), and associated with dismal prognosis. The 100% concordance in twins and its prenatal onset suggest an extremely rapid disease progression. Many key issues remain elusive:
Is MA4 leukemogenic?
Which are other relevant oncogenic drivers?
Which is the nature of the cell transformed by MA4?
Which is the leukemia-initiating cell (LIC)?
Does this ALL follow a hierarchical or stochastic cancer model?
How to explain therapy resistance and CNS involvement?
To what extent do genetics vs epigenetics contribute this ALL?
These questions remain a challenge due to: 1) the absence of prospective studies on diagnostic/remission-matched samples, 2) the lack of models which faithfully reproduce the disease and 3) a surprising genomic stability of this ALL.
I hypothesize that a Multilayer-Omics to function approach in patient blasts and early human hematopoietic stem/progenitor cells (HSPC) is required to fully scrutinize the biology underlying this life-threatening leukemia. I will perform genome-wide studies on the mutational landscape, DNA and H3K79 methylation profiles, and transcriptome on a uniquely available, large cohort of diagnostic/remission-matched samples. Omics data integration will provide unprecedented information about oncogenic drivers which must be analyzed in ground-breaking functional assays using patient blasts and early HSPCs carrying a CRISPR/Cas9-mediated locus/allele-specific t(4;11). Serial xenografts combined with exome-seq in paired diagnostic samples and xenografts will identify the LIC and determine whether variegated genetics may underlie clonal functional heterogeneity. This project will provide a precise understanding and a disease model for MA4+ ALL, offering a platform for new treatment strategies.
Max ERC Funding
2 000 000 €
Duration
Start date: 2016-01-01, End date: 2020-12-31
Project acronym INTELEG
Project The Intellectual and Material Legacies of Late Medieval Sephardic Judaism: An Interdisciplinary Approach
Researcher (PI) Esperanza Alfonso
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Starting Grant (StG), SH4, ERC-2007-StG
Summary From the 13th to the 15th centuries, the Jews of the Iberian Peninsula (Sepharad) lived side by side with Christians and Muslims. Although persistent tensions existed between these three groups, their members also participated in a common artistic, intellectual and scientific endeavour that produced the requisite conditions for the dawn of the European Renaissance. The worldviews of all three communities revolved around their sacred texts—the Hebrew and Christian Bibles and the Qur’an. This project will take as a focal point Judaism and its sacred text, and will explore its role and impact in late medieval society at large. The project will coordinate the research of a group of young scholars doing groundbreaking work in the field, all sharing a cross-cultural and inter-disciplinary perspective. As a group, we will bring under analysis a wide range of concepts—the production of sacred texts as objects, the history of their cataloguing and preservation, the multiple and conflicting interpretations of their contents, their role as social agents that fostered coexistence or created exclusions, their impact in literature and the arts, their relationship with medieval science, and their relationship to Muslim and Christian Scriptures. The project has a special relevance for today’s multicultural and pluralistic Europe, as it can help to minimize fundamentalist readings of the sacred texts, bring about a greater understanding of the historical roots of modern intercultural conflict and, ultimately, contribute to the development of non essentialist theories of race and culture.
Summary
From the 13th to the 15th centuries, the Jews of the Iberian Peninsula (Sepharad) lived side by side with Christians and Muslims. Although persistent tensions existed between these three groups, their members also participated in a common artistic, intellectual and scientific endeavour that produced the requisite conditions for the dawn of the European Renaissance. The worldviews of all three communities revolved around their sacred texts—the Hebrew and Christian Bibles and the Qur’an. This project will take as a focal point Judaism and its sacred text, and will explore its role and impact in late medieval society at large. The project will coordinate the research of a group of young scholars doing groundbreaking work in the field, all sharing a cross-cultural and inter-disciplinary perspective. As a group, we will bring under analysis a wide range of concepts—the production of sacred texts as objects, the history of their cataloguing and preservation, the multiple and conflicting interpretations of their contents, their role as social agents that fostered coexistence or created exclusions, their impact in literature and the arts, their relationship with medieval science, and their relationship to Muslim and Christian Scriptures. The project has a special relevance for today’s multicultural and pluralistic Europe, as it can help to minimize fundamentalist readings of the sacred texts, bring about a greater understanding of the historical roots of modern intercultural conflict and, ultimately, contribute to the development of non essentialist theories of race and culture.
Max ERC Funding
719 336 €
Duration
Start date: 2008-09-01, End date: 2012-08-31
Project acronym INTRAHETEROSEQ
Project Molecular characterization of the role of intra-tumor heterogeneity in cancer progression and metastasis
Researcher (PI) Ignacio VARELA EGOCHEAGA
Host Institution (HI) UNIVERSIDAD DE CANTABRIA
Call Details Starting Grant (StG), LS4, ERC-2014-STG
Summary Cancer is caused by somatically acquired changes in the DNA. Some of these changes fall in “cancer genes”, conferring clonal selective advantage to the cells that carry the mutant alleles. Identifying these genes/pathways is of vital importance for a correct understanding of cancer biology as well as for the diagnosis and treatment of human malignancies. In this respect, the use of genetically modified mice has been extremely useful in the past for characterizing the molecular pathways involved in cancer progression. The remarkable progress made during the last two decades on the genetic modification of mouse genomes offers unique opportunities to investigate different aspects of tumor molecular behavior, impossible to study on human samples.
Recently, the advent of next-generation sequencing technologies has provided new strategies for the systematic genome-wide identification of somatic changes in cancer cell genomes. Using these technologies, we and others have characterized the high intra-tumor heterogeneity observed in some human tumors. Although the exact significance of this heterogeneity is uncertain, it seems to be responsible for key aspects in the management of cancer patients such as metastasis predisposition and tissue specificity or treatment resistance.
Taking advantage of next-generation sequencing, we propose to finely characterize the intra-tumor heterogeneity evolution during the progression of tumors induced in a mouse model of pancreatic cancer, as well as, for the first time, to purify the different cell populations these primary tumors are composed of. A complete genomic and transcriptomic characterization of these populations followed by posterior functional assays will help us to identify the genes/pathways involved in tumor progression as well as metastatic potential and its tissue specificity. This new knowledge could finally contribute to a better understanding of cancer and to the design of more efficient anti-tumor therapies
Summary
Cancer is caused by somatically acquired changes in the DNA. Some of these changes fall in “cancer genes”, conferring clonal selective advantage to the cells that carry the mutant alleles. Identifying these genes/pathways is of vital importance for a correct understanding of cancer biology as well as for the diagnosis and treatment of human malignancies. In this respect, the use of genetically modified mice has been extremely useful in the past for characterizing the molecular pathways involved in cancer progression. The remarkable progress made during the last two decades on the genetic modification of mouse genomes offers unique opportunities to investigate different aspects of tumor molecular behavior, impossible to study on human samples.
Recently, the advent of next-generation sequencing technologies has provided new strategies for the systematic genome-wide identification of somatic changes in cancer cell genomes. Using these technologies, we and others have characterized the high intra-tumor heterogeneity observed in some human tumors. Although the exact significance of this heterogeneity is uncertain, it seems to be responsible for key aspects in the management of cancer patients such as metastasis predisposition and tissue specificity or treatment resistance.
Taking advantage of next-generation sequencing, we propose to finely characterize the intra-tumor heterogeneity evolution during the progression of tumors induced in a mouse model of pancreatic cancer, as well as, for the first time, to purify the different cell populations these primary tumors are composed of. A complete genomic and transcriptomic characterization of these populations followed by posterior functional assays will help us to identify the genes/pathways involved in tumor progression as well as metastatic potential and its tissue specificity. This new knowledge could finally contribute to a better understanding of cancer and to the design of more efficient anti-tumor therapies
Max ERC Funding
1 498 850 €
Duration
Start date: 2015-05-01, End date: 2020-04-30
Project acronym LATIN INTO HEBREW
Project Latin Philosophy into Hebrew: Intercultural Networks in 13th and 14th Century Europe
Researcher (PI) Alexander Fidora Riera
Host Institution (HI) UNIVERSITAT AUTONOMA DE BARCELONA
Call Details Starting Grant (StG), SH4, ERC-2007-StG
Summary The intercultural networks between Arabic, Christian and Jewish communities of learning during the Middle Ages have played a decisive role in the evolution of Western thought and have helped to shape the European identity. Until now, scholarly research has focused almost exclusively on the transmission of Arabic philosophy and science into Latin. The influence of Latin texts on Jewish thought has been largely neglected. The goal of this project is to study how Latin-Christian texts written at Toledo were received in the Jewish tradition of the 13th and 14th centuries, and to draw an intellectual topography of the intercultural and interreligious networks that extended across Europe. The work will involve the philosophical analysis of various texts together with their translations and reception, showing how the networks between the different religious communities in the Mediterranean can be understood as an attempt to work on a shared philosophical tradition. This tradition provided a common and continuous medium for dialogue between the faiths, based upon a commitment to philosophical reason. Our approach will be combined with historical and philological research on the conditions and methods of transmission and translation of Latin texts into Hebrew. In addition, the project aims at editing and translating some of the Hebrew texts of reference. The project is only possible in a trans-disciplinary research group, for it requires philosophical, historical and philological skills as well as a high degree of familiarity with the different traditions involved.
Summary
The intercultural networks between Arabic, Christian and Jewish communities of learning during the Middle Ages have played a decisive role in the evolution of Western thought and have helped to shape the European identity. Until now, scholarly research has focused almost exclusively on the transmission of Arabic philosophy and science into Latin. The influence of Latin texts on Jewish thought has been largely neglected. The goal of this project is to study how Latin-Christian texts written at Toledo were received in the Jewish tradition of the 13th and 14th centuries, and to draw an intellectual topography of the intercultural and interreligious networks that extended across Europe. The work will involve the philosophical analysis of various texts together with their translations and reception, showing how the networks between the different religious communities in the Mediterranean can be understood as an attempt to work on a shared philosophical tradition. This tradition provided a common and continuous medium for dialogue between the faiths, based upon a commitment to philosophical reason. Our approach will be combined with historical and philological research on the conditions and methods of transmission and translation of Latin texts into Hebrew. In addition, the project aims at editing and translating some of the Hebrew texts of reference. The project is only possible in a trans-disciplinary research group, for it requires philosophical, historical and philological skills as well as a high degree of familiarity with the different traditions involved.
Max ERC Funding
511 574 €
Duration
Start date: 2008-09-01, End date: 2012-02-29
Project acronym LIPOMET
Project Dietary Influences on Metastasis: How, When, and Why
Researcher (PI) Salvador Aznar Benitah
Host Institution (HI) FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA)
Call Details Advanced Grant (AdG), LS4, ERC-2017-ADG
Summary We have recently identified metastasis-initiating cells (MICs) in several types of tumors (Nature, 2017)1.
Intriguingly, MICs: (i) are exclusive in their ability to generate metastases when transplanted; (ii) express the
fatty acid channel CD36 and have a unique lipid metabolic signature; (iii) are exquisitely sensitive to the
levels of fat in circulation, thus providing a link between the predisposition of metastasis and dietary fat; (iv)
are highly sensitive to CD36 inhibition, which almost completely abolishes their metastatic potential.
We still do not know how MICs promote metastasis or how MICs are influenced by dietary fat. In
particular: (A) where are MICs located within the tumor, and does this location influence their behavior?
How and where do they attach and expand at metastatic sites? (B) Why are MICs so sensitive to specific
dietary lipids, and how do these lipids promote metastasis at the molecular and cellular levels? (C) Is the
prolonged consumption of a high-fat diet a risk factor for developing metastatic tumors? If so, what are the
underlying genetic and epigenetic causes for this effect? Can we revert these causes?
To answer these questions, we will combine state-of-the-art in vivo functional models of metastasis, with
quantitative metabolomics and proteomics, epigenetic and geographical position (3D) single-cell
transcriptomic studies, as well as integrative computational analyses, using preclinical models and patientderived
carcinomas of melanoma, oral cancer and breast cancer.
We expect our project to provide fundamental insights into the mechanisms of metastasis, and how they are
influenced by diet. This is highly relevant as 1) large quantities of fatty acids are typically consumed in
Western diets; and 2) metastasis is the leading cause of cancer-related deaths. We also tackle a timely
medical unmet need by exploring the therapeutic anti-metastatic potential of targeting fatty acid metabolism
in cancer patients.
Summary
We have recently identified metastasis-initiating cells (MICs) in several types of tumors (Nature, 2017)1.
Intriguingly, MICs: (i) are exclusive in their ability to generate metastases when transplanted; (ii) express the
fatty acid channel CD36 and have a unique lipid metabolic signature; (iii) are exquisitely sensitive to the
levels of fat in circulation, thus providing a link between the predisposition of metastasis and dietary fat; (iv)
are highly sensitive to CD36 inhibition, which almost completely abolishes their metastatic potential.
We still do not know how MICs promote metastasis or how MICs are influenced by dietary fat. In
particular: (A) where are MICs located within the tumor, and does this location influence their behavior?
How and where do they attach and expand at metastatic sites? (B) Why are MICs so sensitive to specific
dietary lipids, and how do these lipids promote metastasis at the molecular and cellular levels? (C) Is the
prolonged consumption of a high-fat diet a risk factor for developing metastatic tumors? If so, what are the
underlying genetic and epigenetic causes for this effect? Can we revert these causes?
To answer these questions, we will combine state-of-the-art in vivo functional models of metastasis, with
quantitative metabolomics and proteomics, epigenetic and geographical position (3D) single-cell
transcriptomic studies, as well as integrative computational analyses, using preclinical models and patientderived
carcinomas of melanoma, oral cancer and breast cancer.
We expect our project to provide fundamental insights into the mechanisms of metastasis, and how they are
influenced by diet. This is highly relevant as 1) large quantities of fatty acids are typically consumed in
Western diets; and 2) metastasis is the leading cause of cancer-related deaths. We also tackle a timely
medical unmet need by exploring the therapeutic anti-metastatic potential of targeting fatty acid metabolism
in cancer patients.
Max ERC Funding
2 370 625 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym MAGNESIA
Project The impact of highly magnetic neutron stars in the explosive and transient Universe
Researcher (PI) Nanda Rea
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Consolidator Grant (CoG), PE9, ERC-2018-COG
Summary The gravitational wave window is now open. It is then imperative to build quantitative models of neutron stars that use all the available tracers to constrain fundamental physics at the highest densities and magnetic fields. The most magnetic neutron stars, the magnetars, have been recently suggested to be powering a large variety of explosive and transient events. The enormous rotational power at birth, and the magnetic energy they can release via large flares, put the magnetars in the (yet) hand-wavy interpretations of gamma-ray bursts, the early phases of double neutron star mergers, super-luminous supernovae, hypernovae, fast radio bursts, and ultra-luminous X-ray sources. However, despite knowing about 30 magnetars, we are lacking a census of how many we expect within the pulsar population, nor we have robust constraints on their flaring rates. The recent discovery of transient magnetars, of magnetar-like flares from sources with measured low dipolar magnetic fields and from typical radio pulsars, clearly showed that the magnetar census in our Galaxy is largely under-estimated. This hampers our understanding not only of the pulsar and magnetar populations, but also of them as possibly related to many of Universe’s explosive events. MAGNESIA will infer a sound Magnetar Census via an innovative approach that will build the first Pulsar Population Synthesis model able to cope with constraints/limits from multi-band observations, and taking into account 3D magnetic field evolution models and flaring rates for neutron stars. Combining expertise in multi-band observations, numerical modeling, nuclear physics, and computation, MAGNESIA will solve the physics, the observational systematic errors, and the computational challenges that inhibited previous works, to finally constrain the spin period and magnetic field distribution at birth of the neutron star population.
Summary
The gravitational wave window is now open. It is then imperative to build quantitative models of neutron stars that use all the available tracers to constrain fundamental physics at the highest densities and magnetic fields. The most magnetic neutron stars, the magnetars, have been recently suggested to be powering a large variety of explosive and transient events. The enormous rotational power at birth, and the magnetic energy they can release via large flares, put the magnetars in the (yet) hand-wavy interpretations of gamma-ray bursts, the early phases of double neutron star mergers, super-luminous supernovae, hypernovae, fast radio bursts, and ultra-luminous X-ray sources. However, despite knowing about 30 magnetars, we are lacking a census of how many we expect within the pulsar population, nor we have robust constraints on their flaring rates. The recent discovery of transient magnetars, of magnetar-like flares from sources with measured low dipolar magnetic fields and from typical radio pulsars, clearly showed that the magnetar census in our Galaxy is largely under-estimated. This hampers our understanding not only of the pulsar and magnetar populations, but also of them as possibly related to many of Universe’s explosive events. MAGNESIA will infer a sound Magnetar Census via an innovative approach that will build the first Pulsar Population Synthesis model able to cope with constraints/limits from multi-band observations, and taking into account 3D magnetic field evolution models and flaring rates for neutron stars. Combining expertise in multi-band observations, numerical modeling, nuclear physics, and computation, MAGNESIA will solve the physics, the observational systematic errors, and the computational challenges that inhibited previous works, to finally constrain the spin period and magnetic field distribution at birth of the neutron star population.
Max ERC Funding
2 263 148 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym MarsFirstWater
Project The physicochemical nature of water on early Mars
Researcher (PI) Alberto Gonzalez Fairen
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Consolidator Grant (CoG), PE9, ERC-2018-COG
Summary Concepts of large bodies of glacial ice and liquid standing water, a robust hydrological cycle, and a rich Martian history of climate change are part of the current consensus model for early Mars. However, questions still poorly constrained include: a precise understanding of the inventory of water during the first billion years of Mars history and its early evolution on both global and local scales; whether liquid or solid H2O dominated, for what duration of time and where the water resided; what were the host-rock weathering rates and patterns and the physicochemical parameters defining such interactions; what specific landforms and mineralogies were generated during those periods; and what implications all these processes had on the possible inception of life on Mars. These fundamental questions represent large uncertainties and knowledge gaps. Therefore, a quantitative understanding of the basic characteristics of water on early Mars is very much needed and is the focus of this proposal.
This application outlines a plan for my research in the next five years, and explains how I propose to fully characterize the aqueous environments of early Mars through a quantitative and truly interdisciplinary investigation. Spacecraft mission-derived datasets will be consistently used to test hypotheses through paleogeomorphological reconstructions, geochemical modeling, mineralogical studies, and astrobiological investigations. The derived results will produce hard constraints on the physical evolution, chemical alteration and habitability of surface and near-surface aqueous environments on early Mars. The planned investigations will benefit from the combination of working with first-hand data from ongoing Mars missions and with the state-of-the-art laboratory tools at the host institution. The final expected result will be a complete understanding of the physicochemical nature of water on early Mars, also opening new paths for the astrobiological exploration of the planet.
Summary
Concepts of large bodies of glacial ice and liquid standing water, a robust hydrological cycle, and a rich Martian history of climate change are part of the current consensus model for early Mars. However, questions still poorly constrained include: a precise understanding of the inventory of water during the first billion years of Mars history and its early evolution on both global and local scales; whether liquid or solid H2O dominated, for what duration of time and where the water resided; what were the host-rock weathering rates and patterns and the physicochemical parameters defining such interactions; what specific landforms and mineralogies were generated during those periods; and what implications all these processes had on the possible inception of life on Mars. These fundamental questions represent large uncertainties and knowledge gaps. Therefore, a quantitative understanding of the basic characteristics of water on early Mars is very much needed and is the focus of this proposal.
This application outlines a plan for my research in the next five years, and explains how I propose to fully characterize the aqueous environments of early Mars through a quantitative and truly interdisciplinary investigation. Spacecraft mission-derived datasets will be consistently used to test hypotheses through paleogeomorphological reconstructions, geochemical modeling, mineralogical studies, and astrobiological investigations. The derived results will produce hard constraints on the physical evolution, chemical alteration and habitability of surface and near-surface aqueous environments on early Mars. The planned investigations will benefit from the combination of working with first-hand data from ongoing Mars missions and with the state-of-the-art laboratory tools at the host institution. The final expected result will be a complete understanding of the physicochemical nature of water on early Mars, also opening new paths for the astrobiological exploration of the planet.
Max ERC Funding
1 998 368 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym METARNAFLAMMATION
Project The RNA bridge between IRE-1 and PKR leading to metaflammation: discovery and intervention in atherosclerosis
Researcher (PI) Ebru Erbay
Host Institution (HI) BILKENT UNIVERSITESI VAKIF
Call Details Starting Grant (StG), LS4, ERC-2013-StG
Summary A close functional and molecular integration between metabolic and immune systems is crucial for systemic homeostasis and its’ deregulation is causally linked to obesity and associated diseases including insulin resistance, diabetes and atherosclerosis and known as cardiometabolic syndrome (CMS). Metabolic overload initiates a chronic inflammatory and stress response known as metaflammation and promotes the complications of CMS. The precise molecular mechanisms linking metabolic stress to immune activation and stress responses, however, remain elusive.
Earlier studies demonstrated metabolic overload stresses the endoplasmic reticulum (ER) and activates the unfolded protein response (UPR). ER is a critical intracellular metabolic hub orchestrating protein, lipid and calcium metabolism. These vital functions of ER are maintained by a conserved, adaptive stress response or UPR that emanates from its membranes. ER stress has emerged as a central paradigm in the pathogenesis of CMS and its reduction prevents atherosclerosis and promotes insulin sensitivity. However, a clear understanding of how metabolic stress is sensed and communicated by the ER is fundamental in designing specific and targeted therapy to ER stress in CMS. This application will investigate the ER stress response that can sense excess lipids and couple to inflammatory and stress responses, and whether its unique operation under metabolic stress can be suitable for therapeutic exploitation in CMS. This proposal tackles the unique modes of operation of two important players in the ER stress response that are coupled by metabolic stress, inositol-requiring enzyme-1 (IRE-1) and double-stranded RNA-activated kinase (PKR), by taking advantage of chemical-genetics to specifically modify their activities. When completed the proposed studies will have shed light on a little explored but central question in the field of immunometabolism regarding how nutrients engage inflammatory and stress pathways.
Summary
A close functional and molecular integration between metabolic and immune systems is crucial for systemic homeostasis and its’ deregulation is causally linked to obesity and associated diseases including insulin resistance, diabetes and atherosclerosis and known as cardiometabolic syndrome (CMS). Metabolic overload initiates a chronic inflammatory and stress response known as metaflammation and promotes the complications of CMS. The precise molecular mechanisms linking metabolic stress to immune activation and stress responses, however, remain elusive.
Earlier studies demonstrated metabolic overload stresses the endoplasmic reticulum (ER) and activates the unfolded protein response (UPR). ER is a critical intracellular metabolic hub orchestrating protein, lipid and calcium metabolism. These vital functions of ER are maintained by a conserved, adaptive stress response or UPR that emanates from its membranes. ER stress has emerged as a central paradigm in the pathogenesis of CMS and its reduction prevents atherosclerosis and promotes insulin sensitivity. However, a clear understanding of how metabolic stress is sensed and communicated by the ER is fundamental in designing specific and targeted therapy to ER stress in CMS. This application will investigate the ER stress response that can sense excess lipids and couple to inflammatory and stress responses, and whether its unique operation under metabolic stress can be suitable for therapeutic exploitation in CMS. This proposal tackles the unique modes of operation of two important players in the ER stress response that are coupled by metabolic stress, inositol-requiring enzyme-1 (IRE-1) and double-stranded RNA-activated kinase (PKR), by taking advantage of chemical-genetics to specifically modify their activities. When completed the proposed studies will have shed light on a little explored but central question in the field of immunometabolism regarding how nutrients engage inflammatory and stress pathways.
Max ERC Funding
1 362 921 €
Duration
Start date: 2014-01-01, End date: 2018-06-30
Project acronym MIA
Project Multisensory Integration and Attention
Researcher (PI) Salvador Soto-Faraco
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Starting Grant (StG), SH4, ERC-2010-StG_20091209
Summary The world around us is immensely rich in sensory information, which we perceive through a varied range of different sensory systems (enabling us to feel, hear, see…). Yet, our perceptual experience is not a sensory piecemeal, but a unitary phenomenon brought about by Multisensory Integration mechanisms. MSI is in charge of binding sensory input to create faithful and coherent representations of the environment, an ability that confers important advantages in terms of optimizing behavioural outcomes. For example, people often find it easier to speak with someone when they can see their partner’s face, as lip and facial movements compensate for acoustic noise. The novelty of the project is that it focuses on internal processes, and in particular attention, to be of utmost importance during MSI. Attention enables efficient allocation of limited cognitive and neural resources, and therefore it plays a paramount role in perception, cognition and action. The aim is to understand the interplay between attention and the mechanisms of multisensory integration. Unravelling this interplay presents important challenges but, in return, promises to provide very important insights into how perception is accomplished by the human
mind and brain. In particular, the driving hypothesis underlying the present proposal is that objects of perception are multi-sensory defined events, and that attention plays a key role in building up and maintaining these perceptual representations. The strategy is to address this dynamic interplay between MSI and Attention by addressing a set of key specific research questions by means of converging methodological approaches. I propose to undertake this task with the help of a multidisciplinary team of researchers of different backgrounds, and a set of research methods including a behavioural approach (psychophysics in healthy adult humans, developmental studies and neuropsychology) combined with selective use of brain imaging stimulation.
Summary
The world around us is immensely rich in sensory information, which we perceive through a varied range of different sensory systems (enabling us to feel, hear, see…). Yet, our perceptual experience is not a sensory piecemeal, but a unitary phenomenon brought about by Multisensory Integration mechanisms. MSI is in charge of binding sensory input to create faithful and coherent representations of the environment, an ability that confers important advantages in terms of optimizing behavioural outcomes. For example, people often find it easier to speak with someone when they can see their partner’s face, as lip and facial movements compensate for acoustic noise. The novelty of the project is that it focuses on internal processes, and in particular attention, to be of utmost importance during MSI. Attention enables efficient allocation of limited cognitive and neural resources, and therefore it plays a paramount role in perception, cognition and action. The aim is to understand the interplay between attention and the mechanisms of multisensory integration. Unravelling this interplay presents important challenges but, in return, promises to provide very important insights into how perception is accomplished by the human
mind and brain. In particular, the driving hypothesis underlying the present proposal is that objects of perception are multi-sensory defined events, and that attention plays a key role in building up and maintaining these perceptual representations. The strategy is to address this dynamic interplay between MSI and Attention by addressing a set of key specific research questions by means of converging methodological approaches. I propose to undertake this task with the help of a multidisciplinary team of researchers of different backgrounds, and a set of research methods including a behavioural approach (psychophysics in healthy adult humans, developmental studies and neuropsychology) combined with selective use of brain imaging stimulation.
Max ERC Funding
1 450 672 €
Duration
Start date: 2011-04-01, End date: 2016-09-30
Project acronym MITOSENSING
Project Decoding mitochondrial nutrient-sensing programs in POMC neurons as key determinants of metabolic health
Researcher (PI) Marc CLARET CARLES
Host Institution (HI) CONSORCI INSTITUT D'INVESTIGACIONS BIOMEDIQUES AUGUST PI I SUNYER
Call Details Consolidator Grant (CoG), LS4, ERC-2016-COG
Summary Nutrient-sensing by POMC neurons is a critical process to monitor the metabolic status of the organism and to coordinate adaptive neuroendocrine, behavioural and metabolic effectors of energy balance. Mitochondria, as central commanders of cellular energy production and primary sources of bioenergetic signals, are logical candidates to play a key role in metabolic control. However, a comprehensive understanding of the mitochondria as nutrient-sensors and modulators of systemic energy homeostasis is lacking. MITOSENSING hypothesizes that dedicated mitochondrial networks in POMC neurons are able to sense, integrate and respond to alterations in the nutritional milieu and engage physiological actions to maintain energy balance. Thus, defects in these mitochondrial nutrient-sensing programs in this subset of neurons underlie the development of metabolic conditions such as obesity and type-2 diabetes (T2D). To test it, we will pursue three aims: 1) to identify transcriptionally-modulated mitochondrial nutrient-sensing programs in POMC neurons; 2) to investigate whether disruption of specific nutrient-sensing programs in POMC neurons cause metabolic disorders; 3) to investigate whether the development of lifestyle-associated metabolic disorders are caused by defective mitochondrial nutrient-sensing programs in POMC neurons. By providing neuron-specific, integrative, functional and mechanistic in vivo strategies, MITOSENSING will represent a major step forward into the understanding of mitochondria as a nutrient-sensing entity, the gene programs involved and their physiological regulatory functions in the context of energy balance control. Adequate coordination of neuronal nutrient-sensing with energy balance control is critical to sustain life, and thus understanding the molecular mechanisms governing these physiological programs will have an enormous scientific impact and also potential therapeutical implications for obesity and T2D.
Summary
Nutrient-sensing by POMC neurons is a critical process to monitor the metabolic status of the organism and to coordinate adaptive neuroendocrine, behavioural and metabolic effectors of energy balance. Mitochondria, as central commanders of cellular energy production and primary sources of bioenergetic signals, are logical candidates to play a key role in metabolic control. However, a comprehensive understanding of the mitochondria as nutrient-sensors and modulators of systemic energy homeostasis is lacking. MITOSENSING hypothesizes that dedicated mitochondrial networks in POMC neurons are able to sense, integrate and respond to alterations in the nutritional milieu and engage physiological actions to maintain energy balance. Thus, defects in these mitochondrial nutrient-sensing programs in this subset of neurons underlie the development of metabolic conditions such as obesity and type-2 diabetes (T2D). To test it, we will pursue three aims: 1) to identify transcriptionally-modulated mitochondrial nutrient-sensing programs in POMC neurons; 2) to investigate whether disruption of specific nutrient-sensing programs in POMC neurons cause metabolic disorders; 3) to investigate whether the development of lifestyle-associated metabolic disorders are caused by defective mitochondrial nutrient-sensing programs in POMC neurons. By providing neuron-specific, integrative, functional and mechanistic in vivo strategies, MITOSENSING will represent a major step forward into the understanding of mitochondria as a nutrient-sensing entity, the gene programs involved and their physiological regulatory functions in the context of energy balance control. Adequate coordination of neuronal nutrient-sensing with energy balance control is critical to sustain life, and thus understanding the molecular mechanisms governing these physiological programs will have an enormous scientific impact and also potential therapeutical implications for obesity and T2D.
Max ERC Funding
1 999 573 €
Duration
Start date: 2017-04-01, End date: 2022-03-31
Project acronym MITOSIGAGE
Project Mitochondrial crosstalk signalling in the regulation of ageing
Researcher (PI) Marta Artal Sanz
Host Institution (HI) UNIVERSIDAD PABLO DE OLAVIDE
Call Details Starting Grant (StG), LS4, ERC-2011-StG_20101109
Summary Mitochondrial defects are associated with aging and age-related pathology, but the molecular mechanisms regulating mitochondrial function during ageing are poorly understood. The most relevant genetic pathway regulating ageing is the insulin/IGF-1 signalling (IIS) pathway. The mitochondrial prohibitin (PHB) complex influences cellular metabolism and mitochondrial biogenesis, affecting ageing in opposite ways in wild-type animals and IIS-defective C. elegans mutants. The aim of the proposed research programme is to shed light on the intricate communication between mitochondria and cell-signalling networks in the regulation of ageing. Our specific objectives are: 1-Elucidate the cellular signalling pathways involved in the metabolic responses to mitochondrial dysfunction upon PHB depletion in wild type animals and IIS-defective mutants, using genome-wide RNAi screens, 2-Conduct a comprehensive metabolic profiling of wild type and IIS mutants in the presence and absence of prohibitins and 3-Identify genetic suppressors of prohibitins by performing forward genetic suppressor screens. As an ultimate goal, genes discovered in C. elegans will be tested in vertebrate assays for a conserved role in ageing. We will implement an interdisciplinary approach that combines the genetic power of C. elegans with state-of-the-art metabolomic approaches as well as automated sorting and optical imaging technologies to monitor fat content and mitochondrial biogenesis, in a genome-wide scale, in vivo. The fine-tuning of cellular metabolism, by integration of diverse signalling inputs is the molecular basis of longevity. This project represents a truly integrative and innovative approach to identify cellular signalling pathways involved in mediating lifespan-extending metabolism adjustments, and what these metabolic adjustments entail. These studies will provide fundamental insights to understand the ageing process and to combat ageing-related diseases.
Summary
Mitochondrial defects are associated with aging and age-related pathology, but the molecular mechanisms regulating mitochondrial function during ageing are poorly understood. The most relevant genetic pathway regulating ageing is the insulin/IGF-1 signalling (IIS) pathway. The mitochondrial prohibitin (PHB) complex influences cellular metabolism and mitochondrial biogenesis, affecting ageing in opposite ways in wild-type animals and IIS-defective C. elegans mutants. The aim of the proposed research programme is to shed light on the intricate communication between mitochondria and cell-signalling networks in the regulation of ageing. Our specific objectives are: 1-Elucidate the cellular signalling pathways involved in the metabolic responses to mitochondrial dysfunction upon PHB depletion in wild type animals and IIS-defective mutants, using genome-wide RNAi screens, 2-Conduct a comprehensive metabolic profiling of wild type and IIS mutants in the presence and absence of prohibitins and 3-Identify genetic suppressors of prohibitins by performing forward genetic suppressor screens. As an ultimate goal, genes discovered in C. elegans will be tested in vertebrate assays for a conserved role in ageing. We will implement an interdisciplinary approach that combines the genetic power of C. elegans with state-of-the-art metabolomic approaches as well as automated sorting and optical imaging technologies to monitor fat content and mitochondrial biogenesis, in a genome-wide scale, in vivo. The fine-tuning of cellular metabolism, by integration of diverse signalling inputs is the molecular basis of longevity. This project represents a truly integrative and innovative approach to identify cellular signalling pathways involved in mediating lifespan-extending metabolism adjustments, and what these metabolic adjustments entail. These studies will provide fundamental insights to understand the ageing process and to combat ageing-related diseases.
Max ERC Funding
1 424 640 €
Duration
Start date: 2012-06-01, End date: 2018-05-31
Project acronym NutrientSensingVivo
Project The Physiology of Nutrient Sensing by mTOR
Researcher (PI) Alejo Efeyan
Host Institution (HI) FUNDACION CENTRO NACIONAL DE INVESTIGACIONES ONCOLOGICAS CARLOS III
Call Details Starting Grant (StG), LS4, ERC-2014-STG
Summary A major role of metabolic alterations in the development of several human diseases, as diabetes, cancer and in the onset of ageing is becoming increasingly evident. This has a deep impact for human health due to the alarming increase in nutrient intake and obesity in the last decades. Fundamental aspects of how aberrant nutrient fluctuations trigger deregulated hormone levels and endocrine signals have been elucidated, being a prime example the phenomenon of insulin resistance. In contrast, how changes in nutrient levels elicit direct cell-autonomous signal transduction cascades and the consequences of these responses in physiology are less clear.
The signalling circuitry of direct nutrient sensing converges with that of hormones in the regulation of the mechanistic target of rapamycin (mTOR) kinase, a driver of anabolism, cell growth and proliferation. Deregulation of mTORC1 activity underlies the pathogenesis of cancer and diabetes, and its inhibitor rapamycin is approved as an anti-cancer agent and delays ageing from yeast to mammals. In spite of its importance for human disease, our understanding of the nutrient sensing signalling pathway and its impact in physiology is largely incomplete, as only a few years ago the direct molecular link between nutrients and mTORC1 activation, the Rag GTPases, were identified.
The present proposal aims to determine how the nutrient sensing signalling pathway affects mammalian physiology and metabolism, and whether its deregulation contributes to cancer, insulin resistance and aging. In particular, the objectives are: 1) To identify novel regulators of the Rag GTPases with unbiased and candidate-based approaches. 2) To establish the consequences of deregulated nutrient-dependent activation of mTORC1 in physiology, by means of genetically engineered mice. 3) To determine the impact of the nutrient sensing pathway in the effects of dietary restriction and nutrient limitation in glucose homeostasis and cancer.
Summary
A major role of metabolic alterations in the development of several human diseases, as diabetes, cancer and in the onset of ageing is becoming increasingly evident. This has a deep impact for human health due to the alarming increase in nutrient intake and obesity in the last decades. Fundamental aspects of how aberrant nutrient fluctuations trigger deregulated hormone levels and endocrine signals have been elucidated, being a prime example the phenomenon of insulin resistance. In contrast, how changes in nutrient levels elicit direct cell-autonomous signal transduction cascades and the consequences of these responses in physiology are less clear.
The signalling circuitry of direct nutrient sensing converges with that of hormones in the regulation of the mechanistic target of rapamycin (mTOR) kinase, a driver of anabolism, cell growth and proliferation. Deregulation of mTORC1 activity underlies the pathogenesis of cancer and diabetes, and its inhibitor rapamycin is approved as an anti-cancer agent and delays ageing from yeast to mammals. In spite of its importance for human disease, our understanding of the nutrient sensing signalling pathway and its impact in physiology is largely incomplete, as only a few years ago the direct molecular link between nutrients and mTORC1 activation, the Rag GTPases, were identified.
The present proposal aims to determine how the nutrient sensing signalling pathway affects mammalian physiology and metabolism, and whether its deregulation contributes to cancer, insulin resistance and aging. In particular, the objectives are: 1) To identify novel regulators of the Rag GTPases with unbiased and candidate-based approaches. 2) To establish the consequences of deregulated nutrient-dependent activation of mTORC1 in physiology, by means of genetically engineered mice. 3) To determine the impact of the nutrient sensing pathway in the effects of dietary restriction and nutrient limitation in glucose homeostasis and cancer.
Max ERC Funding
1 846 494 €
Duration
Start date: 2016-01-01, End date: 2020-12-31
Project acronym OBECAN
Project Role of obesity in the development of hepatocellular carcinoma
Researcher (PI) Guadalupe Sabio Buzo
Host Institution (HI) CENTRO NACIONAL DE INVESTIGACIONESCARDIOVASCULARES CARLOS III (F.S.P.)
Call Details Starting Grant (StG), LS4, ERC-2010-StG_20091118
Summary Obesity is associated with increased risk for epithelial tumors such as hepatocellular carcinoma (HCC). It is not known, however, whether obesity increases the risk for HCC simply because it promotes cirrhosis, a general risk factor for HCC, or through other mechanisms that operate independently of cirrhosis. Among these, obesity is associated with a chronic inflammatory state, with the release of cytokines such as IL-6 and TNFalpha, well-known HCC mediators. Obesity is normally linked to diabetes and in consequence, to hyperinsulinemia. This increase in circulating insulin levels is suggested to be a factor that contributes to cancer. Moreover, the increase in free fatty acids (FFA) in blood among obese patients promotes a compensatory response from liver that activates the transcription of genes required for beta-oxidation, leading to a reduction in non-physiological stores of lipids in the liver. This increase in beta-oxidation could result in oxidative stress, inflammation and the production of lipid peroxidation bioproducts, which are known mutagens. The precise mechanisms whereby FFA and cytosolic triglycerides exert their effects, resulting in the diabetic phenotype, remain poorly understood. Emerging evidence nonetheless links microRNA (miRNA) with lipid metabolism, suggesting that these small RNAs mediate this increase in beta-oxidation.
Our goal is to study how the components of the obesity state (inflammation, steatosis hyperinsulinemia and microRNA control of gene regulation) affect HCC development. We will use several mouse models in which one or more of these factors are reduced following induction of metabolic disease. We will also determine whether specific miRNAs that are down- or upregulated in the liver of mice on a high fat diet are implicated in HCC development.
Summary
Obesity is associated with increased risk for epithelial tumors such as hepatocellular carcinoma (HCC). It is not known, however, whether obesity increases the risk for HCC simply because it promotes cirrhosis, a general risk factor for HCC, or through other mechanisms that operate independently of cirrhosis. Among these, obesity is associated with a chronic inflammatory state, with the release of cytokines such as IL-6 and TNFalpha, well-known HCC mediators. Obesity is normally linked to diabetes and in consequence, to hyperinsulinemia. This increase in circulating insulin levels is suggested to be a factor that contributes to cancer. Moreover, the increase in free fatty acids (FFA) in blood among obese patients promotes a compensatory response from liver that activates the transcription of genes required for beta-oxidation, leading to a reduction in non-physiological stores of lipids in the liver. This increase in beta-oxidation could result in oxidative stress, inflammation and the production of lipid peroxidation bioproducts, which are known mutagens. The precise mechanisms whereby FFA and cytosolic triglycerides exert their effects, resulting in the diabetic phenotype, remain poorly understood. Emerging evidence nonetheless links microRNA (miRNA) with lipid metabolism, suggesting that these small RNAs mediate this increase in beta-oxidation.
Our goal is to study how the components of the obesity state (inflammation, steatosis hyperinsulinemia and microRNA control of gene regulation) affect HCC development. We will use several mouse models in which one or more of these factors are reduced following induction of metabolic disease. We will also determine whether specific miRNAs that are down- or upregulated in the liver of mice on a high fat diet are implicated in HCC development.
Max ERC Funding
1 498 043 €
Duration
Start date: 2010-12-01, End date: 2016-11-30
Project acronym OBERSTRESS
Project Hypothalamic Lipotoxicity and Endoplasmic Reticulum Stress: a New Pathophysiological Mechanism of Obesity
Researcher (PI) Miguel Antonio López Pérez
Host Institution (HI) UNIVERSIDAD DE SANTIAGO DE COMPOSTELA
Call Details Starting Grant (StG), LS4, ERC-2011-StG_20101109
Summary It is well established that metabolically relevant organs such as adipose tissue, pancreatic beta cells, liver and skeletal muscle develop endoplasmic reticulum (ER) stress under conditions of obesity induced lipotoxicity. Here, the applicant will investigate if/how the hypothalamus is affected by lipotoxicity and ER stress in the context of obesity
* Scientific Hypotheses:
1. Obesity is associated with lipotoxicity and ER stress in the hypothalamus.
2. Hypothalamic ER stress may contribute to the development of obesity through dysregulation of the mechanisms controlling energy balance.
3. Based on our preliminary data, we hypothesize that CHOP, a mediator of ER stress, could be a key modulator of the association between obesity and ER dysfunction in the hypothalamus.
* General Objective: to determine the relevance of hypothalamic lipotoxicity and ER stress for the development of obesity and whether targeting ER stress mechanisms is a successful therapeutic strategy to prevent or revert obesity and its metabolic complications.
* Specific Objectives:
1. To determine whether obesity and the metabolic syndrome are associated with hypothalamic lipotoxicity, ER stress and whether these effects are hypothalamic nuclei specific
2. To determine whether primary hypothalamic ER stress is a cause of altered energy balance leading to obesity and metabolic complications
3. To determine whether in the context of obesity inhibition of ER stress in hypothalamus affects energy balance and obesity associated metabolic complications
4. To determine the role of CHOP on energy balance and obesity in specific hypothalamic neuronal populations
This project is central to the applicant’s goal of understanding how the hypothalamus regulates energy balance under physiological and pathophysiological conditions, as an essential step towards identifying and developing novel molecular drug targets to tackle the problem of obesity and their metabolic complications.
Summary
It is well established that metabolically relevant organs such as adipose tissue, pancreatic beta cells, liver and skeletal muscle develop endoplasmic reticulum (ER) stress under conditions of obesity induced lipotoxicity. Here, the applicant will investigate if/how the hypothalamus is affected by lipotoxicity and ER stress in the context of obesity
* Scientific Hypotheses:
1. Obesity is associated with lipotoxicity and ER stress in the hypothalamus.
2. Hypothalamic ER stress may contribute to the development of obesity through dysregulation of the mechanisms controlling energy balance.
3. Based on our preliminary data, we hypothesize that CHOP, a mediator of ER stress, could be a key modulator of the association between obesity and ER dysfunction in the hypothalamus.
* General Objective: to determine the relevance of hypothalamic lipotoxicity and ER stress for the development of obesity and whether targeting ER stress mechanisms is a successful therapeutic strategy to prevent or revert obesity and its metabolic complications.
* Specific Objectives:
1. To determine whether obesity and the metabolic syndrome are associated with hypothalamic lipotoxicity, ER stress and whether these effects are hypothalamic nuclei specific
2. To determine whether primary hypothalamic ER stress is a cause of altered energy balance leading to obesity and metabolic complications
3. To determine whether in the context of obesity inhibition of ER stress in hypothalamus affects energy balance and obesity associated metabolic complications
4. To determine the role of CHOP on energy balance and obesity in specific hypothalamic neuronal populations
This project is central to the applicant’s goal of understanding how the hypothalamus regulates energy balance under physiological and pathophysiological conditions, as an essential step towards identifying and developing novel molecular drug targets to tackle the problem of obesity and their metabolic complications.
Max ERC Funding
1 484 000 €
Duration
Start date: 2011-12-01, End date: 2017-05-31
Project acronym OBESITY53
Project p53 as a New Mediator of Energy Balance in the Brain
Researcher (PI) Ruben Nogueiras Pozo
Host Institution (HI) UNIVERSIDAD DE SANTIAGO DE COMPOSTELA
Call Details Starting Grant (StG), LS4, ERC-2011-StG_20101109
Summary p53 is a transcriptional factor modulating numerous biological actions. Although it is best known for its role in cancer development, it is now evident that it is implicated in metabolism. More specifically, p53 modulates energy metabolism and homeostasis through their effects on adipocyte development and function. However, nothing is known about the potential metabolic function of p53 in the central nervous system.
Neuronal networks within the central nervous system play a crucial role in the regulation of food intake, body weight, and glucose homeostasis, so the main objective of this project will be to evaluate the potential of brain p53 as anti-obesity and/or anti-diabetic drug candidate. Our project will dissect precisely which specific components of energy balance are altered after central disruption or rescue of p53 signalling in selective neuronal populations, as well as the molecular pathways mediating these actions.
More precisely, we will disrupt the central p53 signalling specifically in hypothalamic POMC and AgRP neurons, which are crucial for energy and glucose homeostasis. We will also generate and characterize mice lacking p53 in dopamine neurons that are essential for mechanisms related with the reward of food. Once we know which specific areas are crucial for the central actions of p53, we will complete the experiments rescuing p53 expression in selective neuronal populations (POMC, AgRP or dopamine neurons) of p53 null mice. We will also investigate the interaction between p53 with leptin and ghrelin, likely the two more important hormones in the regulation of energy balance, which act through homeostatic and hedonic mechanisms. Understanding the precise role and mechanisms regulated by central p53 on energy balance may open new avenues for the identification of potential anti-obesity drug targets directed towards specific molecular pathways.
Summary
p53 is a transcriptional factor modulating numerous biological actions. Although it is best known for its role in cancer development, it is now evident that it is implicated in metabolism. More specifically, p53 modulates energy metabolism and homeostasis through their effects on adipocyte development and function. However, nothing is known about the potential metabolic function of p53 in the central nervous system.
Neuronal networks within the central nervous system play a crucial role in the regulation of food intake, body weight, and glucose homeostasis, so the main objective of this project will be to evaluate the potential of brain p53 as anti-obesity and/or anti-diabetic drug candidate. Our project will dissect precisely which specific components of energy balance are altered after central disruption or rescue of p53 signalling in selective neuronal populations, as well as the molecular pathways mediating these actions.
More precisely, we will disrupt the central p53 signalling specifically in hypothalamic POMC and AgRP neurons, which are crucial for energy and glucose homeostasis. We will also generate and characterize mice lacking p53 in dopamine neurons that are essential for mechanisms related with the reward of food. Once we know which specific areas are crucial for the central actions of p53, we will complete the experiments rescuing p53 expression in selective neuronal populations (POMC, AgRP or dopamine neurons) of p53 null mice. We will also investigate the interaction between p53 with leptin and ghrelin, likely the two more important hormones in the regulation of energy balance, which act through homeostatic and hedonic mechanisms. Understanding the precise role and mechanisms regulated by central p53 on energy balance may open new avenues for the identification of potential anti-obesity drug targets directed towards specific molecular pathways.
Max ERC Funding
1 477 680 €
Duration
Start date: 2011-12-01, End date: 2017-05-31
Project acronym OVER-HER2
Project OVErcoming Resistance to anti-HER2 therapy
Researcher (PI) Jose Manuel Baselga Torres
Host Institution (HI) FUNDACIO PRIVADA INSTITUT D'INVESTIGACIO ONCOLOGICA DE VALL-HEBRON
Call Details Advanced Grant (AdG), LS4, ERC-2009-AdG
Summary HER2 is a membrane receptor tyrosine kinase overexpressed in 30% of breast tumors and results in an aggressive clinical course. Anti-HER2 therapies including monoclonal antibodies (trastuzumab) and small-molecule tyrosine kinase inhibitors (lapatinib) are active and have improved survival of patients with HER2 overexpressing breast cancer. However, the emergence of primary or acquired resistance to these agents limits their efficacy. We have previously identified mechanisms of resistance to anti-HER2 therapies such as the co-expression of a truncated form of HER2 that correlates with trastuzumab resistance or the presence of downstream oncogenic mutations of PI3K or PTEN loss that result in resistance to lapatinib . Not surprisingly, PI3K/mTOR inhibitors overcome lapatinib resistance in the later example. Building on our results to date, this proposal is aimed at identifying novel mechanisms of resistance to anti-HER2 agents and to devise therapeutic strategies to revert it. To uncover such mechanisms, we have generated cancer cells with acquired resistance to lapatinib or trastuzumab by continuous exposure to increasing concentrations of these agents. We will perform genome wide screens, including shRNA libraries, gene expression and SNPs arrays, to discover candidate genes responsible for decreased sensitivity to anti-HER2 agents. To overcome anti-HER2 therapy resistance we will study several therapeutic strategies, such as combinations of different anti-HER2 compounds and the use of alternative agents targeting downstream/parallel pathways. Among the novel targeted therapies, we plan to study the use of PI3K, Akt, CDK2 and Hsp90 inhibitors, for which we will also start resistance-screens. It is anticipated that any promising preclinical leads will stimulate trial design and conduct for subsequent evaluation and confirmation in the clinic.
Summary
HER2 is a membrane receptor tyrosine kinase overexpressed in 30% of breast tumors and results in an aggressive clinical course. Anti-HER2 therapies including monoclonal antibodies (trastuzumab) and small-molecule tyrosine kinase inhibitors (lapatinib) are active and have improved survival of patients with HER2 overexpressing breast cancer. However, the emergence of primary or acquired resistance to these agents limits their efficacy. We have previously identified mechanisms of resistance to anti-HER2 therapies such as the co-expression of a truncated form of HER2 that correlates with trastuzumab resistance or the presence of downstream oncogenic mutations of PI3K or PTEN loss that result in resistance to lapatinib . Not surprisingly, PI3K/mTOR inhibitors overcome lapatinib resistance in the later example. Building on our results to date, this proposal is aimed at identifying novel mechanisms of resistance to anti-HER2 agents and to devise therapeutic strategies to revert it. To uncover such mechanisms, we have generated cancer cells with acquired resistance to lapatinib or trastuzumab by continuous exposure to increasing concentrations of these agents. We will perform genome wide screens, including shRNA libraries, gene expression and SNPs arrays, to discover candidate genes responsible for decreased sensitivity to anti-HER2 agents. To overcome anti-HER2 therapy resistance we will study several therapeutic strategies, such as combinations of different anti-HER2 compounds and the use of alternative agents targeting downstream/parallel pathways. Among the novel targeted therapies, we plan to study the use of PI3K, Akt, CDK2 and Hsp90 inhibitors, for which we will also start resistance-screens. It is anticipated that any promising preclinical leads will stimulate trial design and conduct for subsequent evaluation and confirmation in the clinic.
Max ERC Funding
1 666 700 €
Duration
Start date: 2011-01-01, End date: 2014-12-31
Project acronym OxygenSensing
Project Molecular mechanisms of acute oxygen sensing.
Researcher (PI) Jose Lopez Barneo
Host Institution (HI) UNIVERSIDAD DE SEVILLA
Call Details Advanced Grant (AdG), LS4, ERC-2014-ADG
Summary Oxygen (O2) is essential for life on Earth. This proposal deals with the study of the molecular mechanisms underlying acute O2 sensing by cells, a long-standing issue that is yet to be elucidated. In recent years, the discovery of hypoxia inducible transcription factors and their regulation by the O2-dependent hydroxylases has provided a solid framework for understanding genetic responses to sustained (chronic) hypoxia. However the mechanisms of acute O2 sensing, necessary for the activation of rapid, life-saving, compensatory respiratory and cardiovascular reflexes (e.g. hyperventilation and sympathetic activation), are unknown. While the primary goal of the project is to characterize the molecular mechanisms underlying acute O2 sensing by arterial chemoreceptors (carotid body –CB- and adrenal medulla –AM-), we will also extend our study to other organs (e.g. pulmonary and systemic arteries) of the homeostatic acute O2-sensing system. We will investigate the role of mitochondria, in particular complex I (MCI), in acute O2 sensing. Previous data from our group demonstrated that rotenone, a MCI blocker, selectively occludes responsiveness to hypoxia in CB cells. In addition, our unpublished data indicate that sensitivity to hypoxia (but not to other stimuli) is lost in mice with genetic disruption of MCI genes in CB and AM cells. We have shown that the adult CB is a plastic organ that contains a population of multipotent neural stem cells. Hence, another objective of the project is to study the role of these stem cells in CB modulation (over- or infra-activation), which may participate in the pathogenesis of diseases. In the past, our group has made seminal contributions to unveiling the cellular bases of arterial chemoreception. The discovery of stem cells in the CB and the generation of new genetically modified mouse models, put us in a leading position to elucidate the molecular bases of acute O2 sensing and their biomedical implications.
Summary
Oxygen (O2) is essential for life on Earth. This proposal deals with the study of the molecular mechanisms underlying acute O2 sensing by cells, a long-standing issue that is yet to be elucidated. In recent years, the discovery of hypoxia inducible transcription factors and their regulation by the O2-dependent hydroxylases has provided a solid framework for understanding genetic responses to sustained (chronic) hypoxia. However the mechanisms of acute O2 sensing, necessary for the activation of rapid, life-saving, compensatory respiratory and cardiovascular reflexes (e.g. hyperventilation and sympathetic activation), are unknown. While the primary goal of the project is to characterize the molecular mechanisms underlying acute O2 sensing by arterial chemoreceptors (carotid body –CB- and adrenal medulla –AM-), we will also extend our study to other organs (e.g. pulmonary and systemic arteries) of the homeostatic acute O2-sensing system. We will investigate the role of mitochondria, in particular complex I (MCI), in acute O2 sensing. Previous data from our group demonstrated that rotenone, a MCI blocker, selectively occludes responsiveness to hypoxia in CB cells. In addition, our unpublished data indicate that sensitivity to hypoxia (but not to other stimuli) is lost in mice with genetic disruption of MCI genes in CB and AM cells. We have shown that the adult CB is a plastic organ that contains a population of multipotent neural stem cells. Hence, another objective of the project is to study the role of these stem cells in CB modulation (over- or infra-activation), which may participate in the pathogenesis of diseases. In the past, our group has made seminal contributions to unveiling the cellular bases of arterial chemoreception. The discovery of stem cells in the CB and the generation of new genetically modified mouse models, put us in a leading position to elucidate the molecular bases of acute O2 sensing and their biomedical implications.
Max ERC Funding
2 843 750 €
Duration
Start date: 2015-11-01, End date: 2020-10-31
Project acronym P38CANCER
Project Signal integration and rewiring during tumor development
Researcher (PI) Manuel Angel Rodriguez Nebreda
Host Institution (HI) FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA)
Call Details Advanced Grant (AdG), LS4, ERC-2011-ADG_20110310
Summary Cell fate decisions rely on signaling pathways that integrate external signals to coordinate specific intracellular programs. One of these pathways leads to the activation of p38α MAPK, which plays key roles in cell responses to many types of stresses as well as chemotherapeutic agents and oncogenes. Importantly, p38α acts in a cell context-specific and cell type-specific manner to integrate signals that affect cell proliferation, differentiation and survival. Evidence from mouse models and human cell lines indicates that p38α can negatively regulate tumor initiation at different levels. Intriguingly, recent results suggest that p38α activation may also sometimes have pro-tumorigenic functions. The molecular basis for the different functions of p38α are not well understood but it is likely that the network of substrates phosphorylated by p38α plays a major role. This project proposes to investigate molecular mechanisms of p38 MAPK signaling during tumorigenesis including the systematic identification of substrates and how they contribute to the different functions of this pathway. An important part of the studies will focus on the mechanisms underlying the rewiring of p38α signaling to serve pro-tumorigenic functions, including in-depth characterization of how p38α regulates the survival, proliferation and spreading of cancer cells, as well as its role in the interplay between cancer cells and stromal cells. We also plan to investigate the implication of p38α in tumor progression in vivo, using both xenografts and genetically modified mice that we have generated to either inactivate or hyperactivate the p38 MAPK pathway. These models will allow us to analyze the role of this signaling pathway in the regulation of tumor initiation, growth and spreading in different tissues. Taken together, this project will address important questions on cellular signaling and tumor development, which might be also useful for more rational anti-tumoral treatments.
Summary
Cell fate decisions rely on signaling pathways that integrate external signals to coordinate specific intracellular programs. One of these pathways leads to the activation of p38α MAPK, which plays key roles in cell responses to many types of stresses as well as chemotherapeutic agents and oncogenes. Importantly, p38α acts in a cell context-specific and cell type-specific manner to integrate signals that affect cell proliferation, differentiation and survival. Evidence from mouse models and human cell lines indicates that p38α can negatively regulate tumor initiation at different levels. Intriguingly, recent results suggest that p38α activation may also sometimes have pro-tumorigenic functions. The molecular basis for the different functions of p38α are not well understood but it is likely that the network of substrates phosphorylated by p38α plays a major role. This project proposes to investigate molecular mechanisms of p38 MAPK signaling during tumorigenesis including the systematic identification of substrates and how they contribute to the different functions of this pathway. An important part of the studies will focus on the mechanisms underlying the rewiring of p38α signaling to serve pro-tumorigenic functions, including in-depth characterization of how p38α regulates the survival, proliferation and spreading of cancer cells, as well as its role in the interplay between cancer cells and stromal cells. We also plan to investigate the implication of p38α in tumor progression in vivo, using both xenografts and genetically modified mice that we have generated to either inactivate or hyperactivate the p38 MAPK pathway. These models will allow us to analyze the role of this signaling pathway in the regulation of tumor initiation, growth and spreading in different tissues. Taken together, this project will address important questions on cellular signaling and tumor development, which might be also useful for more rational anti-tumoral treatments.
Max ERC Funding
2 497 800 €
Duration
Start date: 2012-07-01, End date: 2017-12-31
Project acronym PHYS.LSS
Project Cosmological Physics with future large-scale structure surveys
Researcher (PI) Licia Verde
Host Institution (HI) UNIVERSITAT DE BARCELONA
Call Details Starting Grant (StG), PE9, ERC-2009-StG
Summary Future, large galaxy surveys (such as BOSS, DES, LSST, EUCLID, ADEPT etc.) will cover of the order of 10000 square degrees on the sky, with the primary science goal to unravel the nature of the physics responsible for the current accelerated expansion of the universe. This acceleration likely involves new physics which could imply ether a modification of our understanding of particles and fields (if the acceleration is caused by a new negative pressure-component) or a change in our understanding of space and time (by modifying Einstein's General Relativity laws). The unprecedented and exquisite data provided by these surveys will make possible also other interesting science with implications for fundamental physics (e.g., inflation, neutrino properties) and astrophysics (e.g., biasing, galaxy formation). The success of future large-scale galaxy surveys evidently requires a correct interpretation of their data. The current proposal, which benefits from the interaction of Cosmology, astrophysics and particle physics, aims at building up a set of robust tools to maximize the physics extracted from large-scale structure data. Such an interplay is mandatory to ensure a suitable modeling of the observables and a meaningful comparison with the theoretical predictions. The PI is involved with surveys such as BOSS, ADEPT and LSST and for the past year has been leading a working group with the goal of bringing together particle physicists and cosmology to better understand dark energy. The methods developed in the proposal presented here are expected to be used by the international community involved in future surveys. This would imply a big step for Spanish groups joining or even leading future Cosmology or Astro-particle physics projects.
Summary
Future, large galaxy surveys (such as BOSS, DES, LSST, EUCLID, ADEPT etc.) will cover of the order of 10000 square degrees on the sky, with the primary science goal to unravel the nature of the physics responsible for the current accelerated expansion of the universe. This acceleration likely involves new physics which could imply ether a modification of our understanding of particles and fields (if the acceleration is caused by a new negative pressure-component) or a change in our understanding of space and time (by modifying Einstein's General Relativity laws). The unprecedented and exquisite data provided by these surveys will make possible also other interesting science with implications for fundamental physics (e.g., inflation, neutrino properties) and astrophysics (e.g., biasing, galaxy formation). The success of future large-scale galaxy surveys evidently requires a correct interpretation of their data. The current proposal, which benefits from the interaction of Cosmology, astrophysics and particle physics, aims at building up a set of robust tools to maximize the physics extracted from large-scale structure data. Such an interplay is mandatory to ensure a suitable modeling of the observables and a meaningful comparison with the theoretical predictions. The PI is involved with surveys such as BOSS, ADEPT and LSST and for the past year has been leading a working group with the goal of bringing together particle physicists and cosmology to better understand dark energy. The methods developed in the proposal presented here are expected to be used by the international community involved in future surveys. This would imply a big step for Spanish groups joining or even leading future Cosmology or Astro-particle physics projects.
Max ERC Funding
1 395 000 €
Duration
Start date: 2009-11-01, End date: 2015-10-31
Project acronym PI2FA
Project Partial Ionisation: Two-Fluid Approach
Researcher (PI) Olena KHOMENKO
Host Institution (HI) INSTITUTO DE ASTROFISICA DE CANARIAS
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary PI2FA proposal’s overarching aim is to make a major breakthrough in our understanding of the magnetised solar chromosphere under a novel frame of a multi-fluid plasma theory. Future large-aperture solar telescopes, EST and DKIST, will have among their primary focus observations of chromospheric magnetic fields. The correct interpretation of solar data requires sophisticated theories. The solar atmosphere is made of strongly stratified, weakly ionised and not completely collisionally coupled plasma. In the previous PI’s ERC SPIA project we opened a new research line and performed systematic investigations of non-ideal effects due to neutrals in the solar plasma. To build the complexity step by step, we advanced a single-fluid formalism, best valid for a strongly collisionally coupled case. Nevertheless, a multi-fluid treatment is essential for the weakly coupled chromosphere because the processes of the energy transport and conversion happen at nearly collisional scales. Now it is the right moment to take advantage and consolidate the experience gained in the SPIA project and to bring our research to a new level of challenge. The ambition of the PI2FA proposal is to create and apply tools for multi-dimensional modelling of the solar chromosphere under a precise two-fluid multi-species approach. In the recent few years it has been repeatedly demonstrated that processes related to non-ideal plasma behaviour due to neutrals may be the key to solve the problem of chromospheric heating and dynamics. PI2FA project will make progress in the following questions: determination of chromospheric heating mechanisms; understanding destabilization mechanisms of prominences related to neutrals, and creation of multi-dimensional two-fluid models of the solar chromosphere. These models will include altogether complex interactions down to smallest scales and allow direct comparison to observations, as a way to prepare our community for the coming large-aperture telescopes.
Summary
PI2FA proposal’s overarching aim is to make a major breakthrough in our understanding of the magnetised solar chromosphere under a novel frame of a multi-fluid plasma theory. Future large-aperture solar telescopes, EST and DKIST, will have among their primary focus observations of chromospheric magnetic fields. The correct interpretation of solar data requires sophisticated theories. The solar atmosphere is made of strongly stratified, weakly ionised and not completely collisionally coupled plasma. In the previous PI’s ERC SPIA project we opened a new research line and performed systematic investigations of non-ideal effects due to neutrals in the solar plasma. To build the complexity step by step, we advanced a single-fluid formalism, best valid for a strongly collisionally coupled case. Nevertheless, a multi-fluid treatment is essential for the weakly coupled chromosphere because the processes of the energy transport and conversion happen at nearly collisional scales. Now it is the right moment to take advantage and consolidate the experience gained in the SPIA project and to bring our research to a new level of challenge. The ambition of the PI2FA proposal is to create and apply tools for multi-dimensional modelling of the solar chromosphere under a precise two-fluid multi-species approach. In the recent few years it has been repeatedly demonstrated that processes related to non-ideal plasma behaviour due to neutrals may be the key to solve the problem of chromospheric heating and dynamics. PI2FA project will make progress in the following questions: determination of chromospheric heating mechanisms; understanding destabilization mechanisms of prominences related to neutrals, and creation of multi-dimensional two-fluid models of the solar chromosphere. These models will include altogether complex interactions down to smallest scales and allow direct comparison to observations, as a way to prepare our community for the coming large-aperture telescopes.
Max ERC Funding
1 968 750 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym PLEIO-RANK
Project Pleiotropic treatment of cancer: RANK inhibitors targeting cancer stem cells and immunity
Researcher (PI) Eva Gonzalez suarez
Host Institution (HI) FUNDACIO INSTITUT D'INVESTIGACIO BIOMEDICA DE BELLVITGE
Call Details Consolidator Grant (CoG), LS4, ERC-2015-CoG
Summary "Thousands of cancer patients worldwide are taking RANKL inhibitors for the management of bone metastasis, based on the key role of RANKL and its receptor, RANK, in osteoclasts. RANK signaling has multiple divergent effects in immunity and inflammation, both in the generation of active immune responses, as well as in the induction of tolerance. We showed that RANK overexpression induces stemness and interferes with differentiation in non transformed mammary epithelial cells and promotes mammary tumorigenesis, acting as a paracrine mediator of progesterone.
However, the therapeutic potential of inhibiting RANK signaling once tumors develop and its effects on tumor immunity remain unexplored. Our proposal tackles novel concepts: Is RANK a better therapeutic target than RANKL? Does RANK induce ""stemness"" in other epithelia and solid tumors and how? Does RANK regulate the tumor-immune cell crosstalk? Would inhibition of RANK signaling in tumor and immune cells result in synergistic or opposing effects on tumor outcome?
We hypotesize that RANK activation in solid tumors expands the cancer stem cells pool and induces an immnunosuppressive environment leading to tumor recurrence and metastasis.
In PLEIO-RANK we aim to:
1. Define the contribution of RANK to the epithelial hierarchy in mammary, skin and colon, during homeostasis and tumorigenesis, undertaking lineage tracing approaches.
2. Dissect the impact of RANK loss in the epithelial or the immune compartment in tumor outcome, exploiting tissue inducible models, in breast cancer and solid tumors driven by chronic inflammation.
3. Validate the clinical implications of our findings using patient derived xenografts and human tumor samples.
Based on the results of our proposal RANK inhibition could become a unique targeted therapy able to reduce metastasis and mortality in solid tumors for its pleiotropic antitumor effects in cancer stem cells, immune cells and their crosstalk.
"
Summary
"Thousands of cancer patients worldwide are taking RANKL inhibitors for the management of bone metastasis, based on the key role of RANKL and its receptor, RANK, in osteoclasts. RANK signaling has multiple divergent effects in immunity and inflammation, both in the generation of active immune responses, as well as in the induction of tolerance. We showed that RANK overexpression induces stemness and interferes with differentiation in non transformed mammary epithelial cells and promotes mammary tumorigenesis, acting as a paracrine mediator of progesterone.
However, the therapeutic potential of inhibiting RANK signaling once tumors develop and its effects on tumor immunity remain unexplored. Our proposal tackles novel concepts: Is RANK a better therapeutic target than RANKL? Does RANK induce ""stemness"" in other epithelia and solid tumors and how? Does RANK regulate the tumor-immune cell crosstalk? Would inhibition of RANK signaling in tumor and immune cells result in synergistic or opposing effects on tumor outcome?
We hypotesize that RANK activation in solid tumors expands the cancer stem cells pool and induces an immnunosuppressive environment leading to tumor recurrence and metastasis.
In PLEIO-RANK we aim to:
1. Define the contribution of RANK to the epithelial hierarchy in mammary, skin and colon, during homeostasis and tumorigenesis, undertaking lineage tracing approaches.
2. Dissect the impact of RANK loss in the epithelial or the immune compartment in tumor outcome, exploiting tissue inducible models, in breast cancer and solid tumors driven by chronic inflammation.
3. Validate the clinical implications of our findings using patient derived xenografts and human tumor samples.
Based on the results of our proposal RANK inhibition could become a unique targeted therapy able to reduce metastasis and mortality in solid tumors for its pleiotropic antitumor effects in cancer stem cells, immune cells and their crosstalk.
"
Max ERC Funding
1 999 960 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym POLMAG
Project Polarized Radiation Diagnostics for Exploring the Magnetism of the Outer Solar Atmosphere
Researcher (PI) Javier Trujillo Bueno
Host Institution (HI) INSTITUTO DE ASTROFISICA DE CANARIAS
Call Details Advanced Grant (AdG), PE9, ERC-2016-ADG
Summary POLMAG aims at a true breakthrough in the development and application of polarized radiation diagnostic methods for exploring the magnetic fields of the chromosphere, transition region and corona of the Sun via the interpretation of the Stokes profiles produced by optically polarized atoms and the Hanle and Zeeman effects in ultraviolet (UV), visible and near-infrared spectral lines. To this end, POLMAG will combine and expand expertise on atomic physics, on the quantum theory of radiation, on high-precision spectropolarimetry, on advanced methods in numerical radiative transfer, and on the confrontation of spectropolarimetric observations with spectral synthesis in increasingly realistic three-dimensional (3D) numerical models of the solar atmosphere.
POLMAG targets the following very challenging issues:
- Which are the optimum spectral lines for probing the magnetism of the outer solar atmosphere?
- How to compute efficiently the Stokes profiles taking into account partial frequency redistribution, J-state quantum interference and the Hanle and Zeeman effects?
- How to determine the magnetic, thermal and dynamic structure of the outer solar atmosphere through confrontations with spectropolarimetric observations?
POLMAG will go well beyond the current state of the art as follows:
- Applying and extending the quantum theory of light polarization
- Developing and applying efficient radiative transfer codes
- Modeling the Ly-alpha and Mg II h & k observations of our CLASP suborbital rocket experiments
- Developing novel coronal magnetometry methods by complementing for the first time the information provided by forbidden and permitted lines
- Developing the plasma diagnostic techniques needed for the scientific exploitation of spectropolarimetric observations with the new generation of solar telescopes and putting them at the disposal of the astrophysical community
POLMAG will open up a new diagnostic window in astrophysics.
Summary
POLMAG aims at a true breakthrough in the development and application of polarized radiation diagnostic methods for exploring the magnetic fields of the chromosphere, transition region and corona of the Sun via the interpretation of the Stokes profiles produced by optically polarized atoms and the Hanle and Zeeman effects in ultraviolet (UV), visible and near-infrared spectral lines. To this end, POLMAG will combine and expand expertise on atomic physics, on the quantum theory of radiation, on high-precision spectropolarimetry, on advanced methods in numerical radiative transfer, and on the confrontation of spectropolarimetric observations with spectral synthesis in increasingly realistic three-dimensional (3D) numerical models of the solar atmosphere.
POLMAG targets the following very challenging issues:
- Which are the optimum spectral lines for probing the magnetism of the outer solar atmosphere?
- How to compute efficiently the Stokes profiles taking into account partial frequency redistribution, J-state quantum interference and the Hanle and Zeeman effects?
- How to determine the magnetic, thermal and dynamic structure of the outer solar atmosphere through confrontations with spectropolarimetric observations?
POLMAG will go well beyond the current state of the art as follows:
- Applying and extending the quantum theory of light polarization
- Developing and applying efficient radiative transfer codes
- Modeling the Ly-alpha and Mg II h & k observations of our CLASP suborbital rocket experiments
- Developing novel coronal magnetometry methods by complementing for the first time the information provided by forbidden and permitted lines
- Developing the plasma diagnostic techniques needed for the scientific exploitation of spectropolarimetric observations with the new generation of solar telescopes and putting them at the disposal of the astrophysical community
POLMAG will open up a new diagnostic window in astrophysics.
Max ERC Funding
2 478 750 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym RAS AHEAD
Project Ras Genes in Health and Disease
Researcher (PI) Mariano Barbacid Montalban
Host Institution (HI) FUNDACION CENTRO NACIONAL DE INVESTIGACIONES ONCOLOGICAS CARLOS III
Call Details Advanced Grant (AdG), LS4, ERC-2009-AdG
Summary Ras genes are some of the best-studied genes in biomedical research due to their central role in mitogenic signaling and their oncogenic activation in one third of all human tumors. More recently, Ras genes have also been implicated in developmental disorders including Costello and Noonan syndromes. In spite of this wealth of information, we still do not know the role of Ras proteins in adult homeostasis and, more importantly, how their misregulation affects human health. The latter is of paramount importance in order to develop efficacious therapies against tumors carrying Ras oncogenes - an achievement that could save thousands of lives worldwide. We propose to address these issues using genetic approaches in mouse models. We aim to systemically ablate all Ras genes in adult mice as well as in selective tissues to understand their role in normal homeostasis. We also propose to characterize mouse models for developmental disorders induced by hyperactive Ras proteins. These models should help us to better understand these human disorders as well as tools to test potential therapeutic strategies. Finally, we propose to use K-Ras driven mouse tumor models for human PDA and NSCLC to address key questions that may be directly translated to the clinic. In the case of PDA, we propose to study the contribution of the inflammatory response induced by pancreatitis to tumor development. In the case of NCSLC, we propose to isolate cancer initiating cells in an attempt to reveal the earliest events in tumor development. Moreover, we intend to use this tumor model to validate druggable Ras downstream effectors as therapeutic targets. The results derived from these studies should provide key information to design forthcoming clinical trials that will benefit cancer patients.
Summary
Ras genes are some of the best-studied genes in biomedical research due to their central role in mitogenic signaling and their oncogenic activation in one third of all human tumors. More recently, Ras genes have also been implicated in developmental disorders including Costello and Noonan syndromes. In spite of this wealth of information, we still do not know the role of Ras proteins in adult homeostasis and, more importantly, how their misregulation affects human health. The latter is of paramount importance in order to develop efficacious therapies against tumors carrying Ras oncogenes - an achievement that could save thousands of lives worldwide. We propose to address these issues using genetic approaches in mouse models. We aim to systemically ablate all Ras genes in adult mice as well as in selective tissues to understand their role in normal homeostasis. We also propose to characterize mouse models for developmental disorders induced by hyperactive Ras proteins. These models should help us to better understand these human disorders as well as tools to test potential therapeutic strategies. Finally, we propose to use K-Ras driven mouse tumor models for human PDA and NSCLC to address key questions that may be directly translated to the clinic. In the case of PDA, we propose to study the contribution of the inflammatory response induced by pancreatitis to tumor development. In the case of NCSLC, we propose to isolate cancer initiating cells in an attempt to reveal the earliest events in tumor development. Moreover, we intend to use this tumor model to validate druggable Ras downstream effectors as therapeutic targets. The results derived from these studies should provide key information to design forthcoming clinical trials that will benefit cancer patients.
Max ERC Funding
2 496 192 €
Duration
Start date: 2010-04-01, End date: 2015-03-31
Project acronym ReadCalibration
Project Phonemic representations in speech perception and production: Recalibration by readingacquisition
Researcher (PI) Clara, Dominique, Sylvie Martin
Host Institution (HI) BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
Call Details Consolidator Grant (CoG), SH4, ERC-2018-COG
Summary The main goal of this project is to demonstrate that reading acquisition (RA) drastically reshapes our phonemic inventory, and to investigate the time-course and fine-grained properties of this recalibration. The main innovative and ground-breaking aspect of this project is the merging of two research fields, (1) reading acquisition and (2) phonemic recalibration, together with a deep and extensive exploration of the (3) perception-production link, which results in a new research line that pushes the boundaries of our understanding of the complex interactions between auditory and visual language perception and production.
We will demonstrate that phonemic representations (PRs) become more stable (less dispersed) during the process of learning to read, and that this recalibration varies according to the grapheme-phoneme conversion rules of the reading system. We will explore such recalibration by means of the first cross-linguistic longitudinal study examining the position and dispersion of PRs, both in perception and production of phonemes and words. Secondly, we will explore how recalibration develops when RA is impaired as is the case in dyslexic children –informing the research field on (4) dyslexia– and when pre-reading PRs are unstable as is the case in deaf children with cochlear implants –informing the research field on (5) deafness. Finally, the research will also be extended to PR recalibration during RA in a second language –informing the research on (6) bilingualism.
This proposal provides the first systematic investigation of phonemic recalibration during literacy acquisition, and will provide important insight for pragmatic research and theoretical accounts of language perception and production and phonemic recalibration. This project will also have major implications for the clinical field (theories and remediation of dyslexia and deafness) and for social policies and education (bilingualism, spoken and written language teaching).
Summary
The main goal of this project is to demonstrate that reading acquisition (RA) drastically reshapes our phonemic inventory, and to investigate the time-course and fine-grained properties of this recalibration. The main innovative and ground-breaking aspect of this project is the merging of two research fields, (1) reading acquisition and (2) phonemic recalibration, together with a deep and extensive exploration of the (3) perception-production link, which results in a new research line that pushes the boundaries of our understanding of the complex interactions between auditory and visual language perception and production.
We will demonstrate that phonemic representations (PRs) become more stable (less dispersed) during the process of learning to read, and that this recalibration varies according to the grapheme-phoneme conversion rules of the reading system. We will explore such recalibration by means of the first cross-linguistic longitudinal study examining the position and dispersion of PRs, both in perception and production of phonemes and words. Secondly, we will explore how recalibration develops when RA is impaired as is the case in dyslexic children –informing the research field on (4) dyslexia– and when pre-reading PRs are unstable as is the case in deaf children with cochlear implants –informing the research field on (5) deafness. Finally, the research will also be extended to PR recalibration during RA in a second language –informing the research on (6) bilingualism.
This proposal provides the first systematic investigation of phonemic recalibration during literacy acquisition, and will provide important insight for pragmatic research and theoretical accounts of language perception and production and phonemic recalibration. This project will also have major implications for the clinical field (theories and remediation of dyslexia and deafness) and for social policies and education (bilingualism, spoken and written language teaching).
Max ERC Funding
1 875 000 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym ReConAg
Project Rethinking Conscious Agency
Researcher (PI) Joshua Lawson SHEPHERD
Host Institution (HI) UNIVERSITAT DE BARCELONA
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary This project will investigate the nature, structure and significance of conscious agency along three related fronts.
First, although philosophers have emphasized the importance of various aspects of consciousness for human agency, work on conscious agency within philosophy remains unsystematic. Cross-talk regarding the phenomena at issue hampers progress, as does a lack of significant attention to the richness of the phenomenology that accompanies human agency. In response, we will develop a new account of the nature and mechanistic underpinnings of agentive phenomenology.
Second, although psychology’s recent progress in explaining agentive capacities – e.g., metacognition, cognitive control, attention, perception, decision-making, and motor acuity – is impressive, insights regarding the importance of consciousness for these capacities need to be made explicit, and leveraged to construct a next generation model of action control. In response, we will map the phenomenology of agency onto the structure and function of action control capacities, with special focus on three areas: the role of explicit knowledge and its signatures within consciousness, the function of phenomenal states for cognitive control resource allocation, and the relationships between conscious intentions and perceptual feedback.
Third, we will deploy the tools of experimental philosophy – that is, the use of psychological methods to study philosophical questions – in two novel areas. First, we will complement and advance this project’s philosophical work by experimentally investigating agentive phenomenology. Second, we will explore the practical and moral significance of conscious agency, by determining what aspects of conscious agency drive commonsense moral thinking about responsibility for action.
Summary
This project will investigate the nature, structure and significance of conscious agency along three related fronts.
First, although philosophers have emphasized the importance of various aspects of consciousness for human agency, work on conscious agency within philosophy remains unsystematic. Cross-talk regarding the phenomena at issue hampers progress, as does a lack of significant attention to the richness of the phenomenology that accompanies human agency. In response, we will develop a new account of the nature and mechanistic underpinnings of agentive phenomenology.
Second, although psychology’s recent progress in explaining agentive capacities – e.g., metacognition, cognitive control, attention, perception, decision-making, and motor acuity – is impressive, insights regarding the importance of consciousness for these capacities need to be made explicit, and leveraged to construct a next generation model of action control. In response, we will map the phenomenology of agency onto the structure and function of action control capacities, with special focus on three areas: the role of explicit knowledge and its signatures within consciousness, the function of phenomenal states for cognitive control resource allocation, and the relationships between conscious intentions and perceptual feedback.
Third, we will deploy the tools of experimental philosophy – that is, the use of psychological methods to study philosophical questions – in two novel areas. First, we will complement and advance this project’s philosophical work by experimentally investigating agentive phenomenology. Second, we will explore the practical and moral significance of conscious agency, by determining what aspects of conscious agency drive commonsense moral thinking about responsibility for action.
Max ERC Funding
1 064 712 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym SPIA
Project Magnetic connectivity through the Solar Partially Ionized Atmosphere
Researcher (PI) Olena Khomenko
Host Institution (HI) INSTITUTO DE ASTROFISICA DE CANARIAS
Call Details Starting Grant (StG), PE9, ERC-2011-StG_20101014
Summary The broad scientific objective of the SPIA proposal is to understand the magnetism of the Sun and stars and to establish connections between the magnetic activity in sub-surface layers and its manifestation in the outer atmosphere. The complex interactions in magnetized stellar plasmas are best studied via numerical simulations, a new powerful method of research that appeared in astrophysics with the development of large supercomputer facilities. With a coming era of large aperture solar telescopes, ATST and EST, spectropolarimetric observations of the Sun will become available at extraordinary high spatial and temporal resolutions. New modelling tools are required to understand the plasma behaviour at these scales. I propose to consolidate a research group of bright scientists around the PI to explore a novel promising approach for the description solar atmospheric plasma under multi-fluid approximation. The degree of plasma ionization in the photosphere and chromosphere of the Sun is extremely low and significant deviations from the classical magneto-hydrodynamic description are expected. A major development of the SPIA proposal will be the implementation of a multi-fluid plasma description, appropriate for a partially ionized medium, relaxing approximations of classical magneto-hydrodynamics. With the inclusion of standard radiative transfer into the three-dimensional multi-fluid code to be developed by the project team, it will be possible to perform simulations of solar sub-photospheric and photospheric regions, up to the low chromosphere, with a realism not achieved before. The importance of the non-ideal plasma effect for the energy balance of the solar chromosphere will be evaluated, and three-dimensional time-dependent models of multi-fluid magneto-convection will be created. This effort will produce a significant step toward the solution of the long-standing question of the origin of solar chromosphere, one of the most poorly understood regions of the Sun.
Summary
The broad scientific objective of the SPIA proposal is to understand the magnetism of the Sun and stars and to establish connections between the magnetic activity in sub-surface layers and its manifestation in the outer atmosphere. The complex interactions in magnetized stellar plasmas are best studied via numerical simulations, a new powerful method of research that appeared in astrophysics with the development of large supercomputer facilities. With a coming era of large aperture solar telescopes, ATST and EST, spectropolarimetric observations of the Sun will become available at extraordinary high spatial and temporal resolutions. New modelling tools are required to understand the plasma behaviour at these scales. I propose to consolidate a research group of bright scientists around the PI to explore a novel promising approach for the description solar atmospheric plasma under multi-fluid approximation. The degree of plasma ionization in the photosphere and chromosphere of the Sun is extremely low and significant deviations from the classical magneto-hydrodynamic description are expected. A major development of the SPIA proposal will be the implementation of a multi-fluid plasma description, appropriate for a partially ionized medium, relaxing approximations of classical magneto-hydrodynamics. With the inclusion of standard radiative transfer into the three-dimensional multi-fluid code to be developed by the project team, it will be possible to perform simulations of solar sub-photospheric and photospheric regions, up to the low chromosphere, with a realism not achieved before. The importance of the non-ideal plasma effect for the energy balance of the solar chromosphere will be evaluated, and three-dimensional time-dependent models of multi-fluid magneto-convection will be created. This effort will produce a significant step toward the solution of the long-standing question of the origin of solar chromosphere, one of the most poorly understood regions of the Sun.
Max ERC Funding
969 600 €
Duration
Start date: 2012-01-01, End date: 2016-12-31
Project acronym STEM-AGING
Project Tissue regeneration and aging: the decisive quiescent stem-cell state
Researcher (PI) Purificación MUNOZ-CANOVES
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Advanced Grant (AdG), LS4, ERC-2016-ADG
Summary The basic mechanisms of stem cell malfunction during aging are poorly understood even though they underlie the regenerative decline of most organs and tissues as we age. Based on our recent contributions (Nature 2014, Nature 2016), the fields of tissue regeneration and aging converge on the key role of the quiescent state, the preferred state of stem cells in low turnover tissues such as skeletal muscle. Our unifying hypothesis is that stem-cell quiescence maintenance, which requires active proteostasis (protein homeostasis), lies at the basis of stemness, and that its substitution by a senescence state in aging impairs regeneration. How these variables connect to drive stem cell aging is not known. Crucial experimental systems in this proposal are sensitive reporter mice for proteostasis, senescence and quiescence/fate in aging muscle stem cells. The project is divided as follows: Objective 1. Proteostasis and stem cell quiescence maintenance: tracing proteostasis in quiescent stem cells from autophagy and chaperone-mediated autophagy (CMA) reporter mice during aging / impact of autophagy/CMA loss on quiescence and regeneration / molecular regulators of proteostasis. Objective 2. Proteostasis and quiescent stem cell heterogeneity and fate: asymmetric segregation of proteotoxic waste as an instructor of stem cell heterogeneity and regenerative fate. Objective 3. The quiescence-to-senescence-switch in aging muscle stem cells: tracing and isolating senescent stem cells in senescence-cell reporter mice during aging / impact of senescent cell ablation on regenerating aged muscle. Objective 4. Circadian regulation in the quiescent stem-cell state: impact of aging on circadian rhythms and consequences for quiescence maintenance and regeneration. We expect that completion of these objectives will provide new fundamental knowledge on stem-cell biology, regeneration and aging.
Summary
The basic mechanisms of stem cell malfunction during aging are poorly understood even though they underlie the regenerative decline of most organs and tissues as we age. Based on our recent contributions (Nature 2014, Nature 2016), the fields of tissue regeneration and aging converge on the key role of the quiescent state, the preferred state of stem cells in low turnover tissues such as skeletal muscle. Our unifying hypothesis is that stem-cell quiescence maintenance, which requires active proteostasis (protein homeostasis), lies at the basis of stemness, and that its substitution by a senescence state in aging impairs regeneration. How these variables connect to drive stem cell aging is not known. Crucial experimental systems in this proposal are sensitive reporter mice for proteostasis, senescence and quiescence/fate in aging muscle stem cells. The project is divided as follows: Objective 1. Proteostasis and stem cell quiescence maintenance: tracing proteostasis in quiescent stem cells from autophagy and chaperone-mediated autophagy (CMA) reporter mice during aging / impact of autophagy/CMA loss on quiescence and regeneration / molecular regulators of proteostasis. Objective 2. Proteostasis and quiescent stem cell heterogeneity and fate: asymmetric segregation of proteotoxic waste as an instructor of stem cell heterogeneity and regenerative fate. Objective 3. The quiescence-to-senescence-switch in aging muscle stem cells: tracing and isolating senescent stem cells in senescence-cell reporter mice during aging / impact of senescent cell ablation on regenerating aged muscle. Objective 4. Circadian regulation in the quiescent stem-cell state: impact of aging on circadian rhythms and consequences for quiescence maintenance and regeneration. We expect that completion of these objectives will provide new fundamental knowledge on stem-cell biology, regeneration and aging.
Max ERC Funding
2 499 949 €
Duration
Start date: 2017-11-01, End date: 2022-10-31
Project acronym STEMCLOCK
Project Spatiotemporal regulation of epidermal stem cells by circadian rhythms: impact on homeostasis and aging
Researcher (PI) Salvador Aznar Benitah
Host Institution (HI) FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA)
Call Details Starting Grant (StG), LS4, ERC-2012-StG_20111109
Summary "Most adult stem cells are compartmentalized in functionally deterministic niches where they self-renew and maintain homeostasis. From there, stem cells are instructed by combinations of signals and spatial tensile forces which they translate into a specific behavior. However how stem cells spatiotemporally coordinate their stem cell potential with niche- and systemic cues is poorly understood. These issues are essential since perturbations in stem cell function can cause tissue malfunction, such as tumorigenesis and aging.
We propose to perform a systematic analysis to identify the molecular causes that underlie epidermal stem cell aging. We will focus on the interplay between circadian rhythms and stem cell function. The circadian machinery anticipates and synchronizes the daily function of tissues according to the entrainment by natural changes in light and metabolism. We have shown that the molecular clock fine-tunes the behavior of epidermal stem cells by imposing oscillations in the expression of stem cell regulatory genes. These oscillations provide stem cells with a spatiotemporal axis for responding to dormancy, activating, and differentiation cues. Notably, the stem cell clock is naturally dampened upon aging, and forced circadian arrhythmia causes severe epidermal aging and predisposition to tumorigenesis.
We now propose to understand how the circadian clock coordinates the communication between stem cells with local and systemic cues, and how these are perturbed during aging. Specifically we aim: i) To study whether circadian rhythms coordinate the function of niche cells and epidermal stem cells; ii) To identify the molecular causes underlying the age-related dampening of the stem cell clock. We will combine large-scale genomic data, mouse models of circadian arrhythmia, and bioinformatic analysis. We hope to unveil some of the molecular causes underlying the loss of communication between epidermal stem cells and their environment resulting in aging."
Summary
"Most adult stem cells are compartmentalized in functionally deterministic niches where they self-renew and maintain homeostasis. From there, stem cells are instructed by combinations of signals and spatial tensile forces which they translate into a specific behavior. However how stem cells spatiotemporally coordinate their stem cell potential with niche- and systemic cues is poorly understood. These issues are essential since perturbations in stem cell function can cause tissue malfunction, such as tumorigenesis and aging.
We propose to perform a systematic analysis to identify the molecular causes that underlie epidermal stem cell aging. We will focus on the interplay between circadian rhythms and stem cell function. The circadian machinery anticipates and synchronizes the daily function of tissues according to the entrainment by natural changes in light and metabolism. We have shown that the molecular clock fine-tunes the behavior of epidermal stem cells by imposing oscillations in the expression of stem cell regulatory genes. These oscillations provide stem cells with a spatiotemporal axis for responding to dormancy, activating, and differentiation cues. Notably, the stem cell clock is naturally dampened upon aging, and forced circadian arrhythmia causes severe epidermal aging and predisposition to tumorigenesis.
We now propose to understand how the circadian clock coordinates the communication between stem cells with local and systemic cues, and how these are perturbed during aging. Specifically we aim: i) To study whether circadian rhythms coordinate the function of niche cells and epidermal stem cells; ii) To identify the molecular causes underlying the age-related dampening of the stem cell clock. We will combine large-scale genomic data, mouse models of circadian arrhythmia, and bioinformatic analysis. We hope to unveil some of the molecular causes underlying the loss of communication between epidermal stem cells and their environment resulting in aging."
Max ERC Funding
1 495 484 €
Duration
Start date: 2013-01-01, End date: 2017-12-31
Project acronym STROMALIGN
Project Mechanisms and Targeting Stromal Contribution to Tumour Invasion and Metastasis
Researcher (PI) Oriol Casanovas Casanovas
Host Institution (HI) INSTITUT CATALA D'ONCOLOGIA
Call Details Starting Grant (StG), LS4, ERC-2011-StG_20101109
Summary Angiogenesis inhibition has proven to be a successful anti-cancer therapeutic approach and anti-angiogenic therapies are currently approved as standard therapy in several types of cancer for their clinically validated beneficial extension of overall survival, progression-free survival and/or time-to-progression in these cancer patients. Nevertheless, in preclinical mouse models of cancer, although these therapies also show significant anti-tumour effects and overall survival benefit, these therapies are also triggering increased tumour local invasion, with more distant dissemination and emergence of metastasis (overall tumour malignization). The clinical relevance of this malignization effect in patients that are currently being treated with antiangiogenic drugs still remains elusive, but the frequent tumour relapses and acquired resistance to therapy in some patients strongly suggests this insidious event should be exhaustively evaluated.
In this sense, many laboratories are rapidly advancing in the study of the molecular players and signalling pathways implicated in this event, although an important limitation of all these approaches is that they are all based on Tumour-centered studies of the causes of malignization and are not taking into account the Tumour Stroma contribution to tumour invasion and metastasis. Thus, we postulate that the tumour stroma indeed plays a critical role in malignization after anti-angiogenic therapies and its specific mechanisms should be determined in order to target these stromal components to impede tumour malignization after antiangiogenic therapies.
STROMALIGN is a groundbreaking project designed to overcome these current limitations from a novel perspective: instead of focusing on the genetically instable and highly adaptive tumour cell component, we rather postulate that the tumour stroma plays a critical role in malignization after anti-angiogenic therapies and its targeting could offer significant advantages of less adaptation/resistance, and broader applicability to several different tumour types. Thus, we will initially dissect the mechanisms of stromal contribution to this malignization effect, followed by pharmacological targeting this event in transgenic and recently developed Tumorgraft mouse models of cancer, and later on applying this knowledge to the clinical setting in samples from two approved clinical studies with anti-angiogenic therapies currently ongoing at our Hospital.
By starting at the biology of animal models and later on validating these findings in the clinical setting we will tackle this current biomedical challenge by finding new stromal targets of malignancy that will ultimately benefit anti-angiogenic treated patients in the clinic.
Summary
Angiogenesis inhibition has proven to be a successful anti-cancer therapeutic approach and anti-angiogenic therapies are currently approved as standard therapy in several types of cancer for their clinically validated beneficial extension of overall survival, progression-free survival and/or time-to-progression in these cancer patients. Nevertheless, in preclinical mouse models of cancer, although these therapies also show significant anti-tumour effects and overall survival benefit, these therapies are also triggering increased tumour local invasion, with more distant dissemination and emergence of metastasis (overall tumour malignization). The clinical relevance of this malignization effect in patients that are currently being treated with antiangiogenic drugs still remains elusive, but the frequent tumour relapses and acquired resistance to therapy in some patients strongly suggests this insidious event should be exhaustively evaluated.
In this sense, many laboratories are rapidly advancing in the study of the molecular players and signalling pathways implicated in this event, although an important limitation of all these approaches is that they are all based on Tumour-centered studies of the causes of malignization and are not taking into account the Tumour Stroma contribution to tumour invasion and metastasis. Thus, we postulate that the tumour stroma indeed plays a critical role in malignization after anti-angiogenic therapies and its specific mechanisms should be determined in order to target these stromal components to impede tumour malignization after antiangiogenic therapies.
STROMALIGN is a groundbreaking project designed to overcome these current limitations from a novel perspective: instead of focusing on the genetically instable and highly adaptive tumour cell component, we rather postulate that the tumour stroma plays a critical role in malignization after anti-angiogenic therapies and its targeting could offer significant advantages of less adaptation/resistance, and broader applicability to several different tumour types. Thus, we will initially dissect the mechanisms of stromal contribution to this malignization effect, followed by pharmacological targeting this event in transgenic and recently developed Tumorgraft mouse models of cancer, and later on applying this knowledge to the clinical setting in samples from two approved clinical studies with anti-angiogenic therapies currently ongoing at our Hospital.
By starting at the biology of animal models and later on validating these findings in the clinical setting we will tackle this current biomedical challenge by finding new stromal targets of malignancy that will ultimately benefit anti-angiogenic treated patients in the clinic.
Max ERC Funding
1 495 796 €
Duration
Start date: 2012-06-01, End date: 2017-05-31
Project acronym THERACAN
Project Novel therapeutic strategies to treat pancreatic and lung cancer
Researcher (PI) Mariano BARBACID MONTALBAN
Host Institution (HI) FUNDACION CENTRO NACIONAL DE INVESTIGACIONES ONCOLOGICAS CARLOS III
Call Details Advanced Grant (AdG), LS4, ERC-2015-AdG
Summary This proposal is aimed at identifying and functionally validating targets with potential therapeutic value to devise novel strategies to treat two human cancers with unacceptable low survival rates and unmet medical needs: pancreatic ductal adenocarcinoma and K-RAS mutant lung adenocarcinoma. Although these tumor types have distinct pathological and clinical manifestations, they are both driven by K-RAS mutations. Hence, we expect that the proposed studies will generate synergies to accelerate the outcome of the expected results. In the first part of the proposal, we will identify those genes activated in the cancer initiating cells responsible for the onset of pancreatic and lung tumors. We reasoned that genes implicated in the initial stages of tumor development will be maintained during tumor evolution and not be affected by the intra-tumoral heterogeneity generated during tumor progression. We also propose to identify and validate genes capable of reprogramming the desmoplasic stroma characteristic of pancreatic tumors to hamper its pro-tumoral effects. Likewise, we intend to define the molecular events that control senescence, a naturally occurring process that serves as a barrier to tumor development. In the second part of the project, we will interrogate the role of known targets with suspected therapeutic value in tumor progression using a new generation of GEM tumor models that allow the temporal separation of tumor development from target ablation or inactivation. These studies will make it possible to design combination therapies capable of effectively eradicate advanced tumors. The last section of this proposal focuses on the pharmacological validation of these combination therapies using best-in-class inhibitors in state-of-the-art preclinical trial platforms based on GEM and PDX tumor models. The results derived from these studies will guide the design of new clinical trials that should have a positive impact in the treatment of these deadly diseases.
Summary
This proposal is aimed at identifying and functionally validating targets with potential therapeutic value to devise novel strategies to treat two human cancers with unacceptable low survival rates and unmet medical needs: pancreatic ductal adenocarcinoma and K-RAS mutant lung adenocarcinoma. Although these tumor types have distinct pathological and clinical manifestations, they are both driven by K-RAS mutations. Hence, we expect that the proposed studies will generate synergies to accelerate the outcome of the expected results. In the first part of the proposal, we will identify those genes activated in the cancer initiating cells responsible for the onset of pancreatic and lung tumors. We reasoned that genes implicated in the initial stages of tumor development will be maintained during tumor evolution and not be affected by the intra-tumoral heterogeneity generated during tumor progression. We also propose to identify and validate genes capable of reprogramming the desmoplasic stroma characteristic of pancreatic tumors to hamper its pro-tumoral effects. Likewise, we intend to define the molecular events that control senescence, a naturally occurring process that serves as a barrier to tumor development. In the second part of the project, we will interrogate the role of known targets with suspected therapeutic value in tumor progression using a new generation of GEM tumor models that allow the temporal separation of tumor development from target ablation or inactivation. These studies will make it possible to design combination therapies capable of effectively eradicate advanced tumors. The last section of this proposal focuses on the pharmacological validation of these combination therapies using best-in-class inhibitors in state-of-the-art preclinical trial platforms based on GEM and PDX tumor models. The results derived from these studies will guide the design of new clinical trials that should have a positive impact in the treatment of these deadly diseases.
Max ERC Funding
2 499 500 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym TUNINGLANG
Project Tuning Attention during Language Learning
Researcher (PI) Ruth De Diego Balaguer
Host Institution (HI) UNIVERSITAT DE BARCELONA
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary Language is the most amazing skill that humans possess. It allows social interaction, can make us cry, laugh and transmit our most complex thoughts. Comprehending the cognitive processes involved in language learning is of critical importance for our understanding of why under certain conditions language learning is impaired. However, current language learning research has often offered limited explanations bounded within the language domain, ignoring the importance of other cognitive functions. The present project breaks these limits and presents an integrative approach at the edge of different research fields to understand the role of attention during language acquisition. Because speech is a sequence of sounds that unfold in time the present proposal integrates this long ignored temporal dimension. The aim of the project is thus to understand the involvement of the temporal orienting brain networks in language learning and how the attentional system may be tuned to the acquisition of words and rules. Three specific objectives will be fulfilled: (i) delineating the temporal attention mechanisms and brain networks involved in language learning, (ii) uncovering the developmental relationship in infants between these specific attentional mechanisms and word and rule learning, and (iii) understanding how the deficits in temporal orienting and the lesions in its brain networks may lead to similar deficits in language acquisition. This project uses a combination of novel methods allowing linking structural and functional measures (analysis of oscillatory activity following EEG variations during learning, fMRI – structural MRI white matter tractography and TMS) in different populations (brain-damaged patients, infants and healthy adults).
Summary
Language is the most amazing skill that humans possess. It allows social interaction, can make us cry, laugh and transmit our most complex thoughts. Comprehending the cognitive processes involved in language learning is of critical importance for our understanding of why under certain conditions language learning is impaired. However, current language learning research has often offered limited explanations bounded within the language domain, ignoring the importance of other cognitive functions. The present project breaks these limits and presents an integrative approach at the edge of different research fields to understand the role of attention during language acquisition. Because speech is a sequence of sounds that unfold in time the present proposal integrates this long ignored temporal dimension. The aim of the project is thus to understand the involvement of the temporal orienting brain networks in language learning and how the attentional system may be tuned to the acquisition of words and rules. Three specific objectives will be fulfilled: (i) delineating the temporal attention mechanisms and brain networks involved in language learning, (ii) uncovering the developmental relationship in infants between these specific attentional mechanisms and word and rule learning, and (iii) understanding how the deficits in temporal orienting and the lesions in its brain networks may lead to similar deficits in language acquisition. This project uses a combination of novel methods allowing linking structural and functional measures (analysis of oscillatory activity following EEG variations during learning, fMRI – structural MRI white matter tractography and TMS) in different populations (brain-damaged patients, infants and healthy adults).
Max ERC Funding
1 485 600 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
Project acronym UNDER CONTROL
Project Mechanisms of cognitive control and language learning
Researcher (PI) Nuria Sebastian-Galles
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Advanced Grant (AdG), SH4, ERC-2012-ADG_20120411
Summary We know that infants can extract regularities from the speech signal through statistical learning (SL) and that this is a fundamental mechanism in language learning. Approaches based on SL assume that statistics are automatically computed over all available input information. However, the language learning situation is so rich and multidimensional that infants need to pinpoint the appropriate subset of dimensions relevant for computing statistics. How does the baby navigate through the immense search space, being such space dependent on each language?
In this project, I will explore the relationship between mechanisms of attention and cognitive control, and language acquisition. I will approach the issue through two different strategies. First, I will analyse how possessing better mechanisms of attention and control contributes to tuning the language processing system to the environmental language’s specificities. To this end, I will start by measuring language and attention development in 11- and 30-month-old children. Then, I will evaluate language and attention in a group of adults, capitalising on the important individual differences existing in non-native speech perception. Second, I will take the opposite perspective and explore how specific language exposure (namely, bilingualism) sculpts mechanisms of cognitive control. In this research line, I will focus on how bilingual exposure alters mechanisms of attention and control in preverbal infants (of which meagre evidence exists). The project will focus on (but will not be constrained to) the way the phoneme inventory of the native language is established. Phonemes are one of the pillars of the language system that are tuned early on to the language of the environment and upon which fundamental computations are performed, yielding the discovery of words and morphosyntactic properties.
Summary
We know that infants can extract regularities from the speech signal through statistical learning (SL) and that this is a fundamental mechanism in language learning. Approaches based on SL assume that statistics are automatically computed over all available input information. However, the language learning situation is so rich and multidimensional that infants need to pinpoint the appropriate subset of dimensions relevant for computing statistics. How does the baby navigate through the immense search space, being such space dependent on each language?
In this project, I will explore the relationship between mechanisms of attention and cognitive control, and language acquisition. I will approach the issue through two different strategies. First, I will analyse how possessing better mechanisms of attention and control contributes to tuning the language processing system to the environmental language’s specificities. To this end, I will start by measuring language and attention development in 11- and 30-month-old children. Then, I will evaluate language and attention in a group of adults, capitalising on the important individual differences existing in non-native speech perception. Second, I will take the opposite perspective and explore how specific language exposure (namely, bilingualism) sculpts mechanisms of cognitive control. In this research line, I will focus on how bilingual exposure alters mechanisms of attention and control in preverbal infants (of which meagre evidence exists). The project will focus on (but will not be constrained to) the way the phoneme inventory of the native language is established. Phonemes are one of the pillars of the language system that are tuned early on to the language of the environment and upon which fundamental computations are performed, yielding the discovery of words and morphosyntactic properties.
Max ERC Funding
2 498 502 €
Duration
Start date: 2013-09-01, End date: 2019-08-31
Project acronym YOUNGatHEART
Project YOUNGatHEART: CARDIAC REJUVENATION BY EPIGENETIC REMODELLING
Researcher (PI) SUSANA Gonzalez
Host Institution (HI) CENTRO NACIONAL DE INVESTIGACIONESCARDIOVASCULARES CARLOS III (F.S.P.)
Call Details Consolidator Grant (CoG), LS4, ERC-2014-CoG
Summary Aging poses the largest risk for cardiovascular disease (CVD) and is orchestrated, to some extent, by epigenetic changes. Despite the significant progress on many fronts in the cardiovascular field, non-inherited epigenetic regulation in cardiac aging and CVD remains unexplored. Dilated Cardiomyopathy (DCM) is a major contributor to healthcare costs and it is the leading indication for heart transplantation. We have recently discovered that adult cardiac-specific deletion of epigenetic regulator Bmi1 in mice induces DCM and heart failure. These unprecedented data support the idea that inadequate epigenetic regulation in adulthood is critical in CVD. In addition, our studies with parabiotic pairing of healthy and DCM-diagnosed mice show that the circulation of a healthy mouse significantly improve the cardiac performance of mouse with DCM. These ground-breaking discoveries suggest that DCM regression, or cardiac rejuvenation, is feasible in terms of epigenetic states. Therefore, YOUNGatHEART will unveil significant breakthrough on (1) how non-inherited epigenetic deregulation induces DCM and (2) how epigenetic remodeling reversed this process. For that, our challenges are: 1A. To decipher how aged-linked cardiac dysfunction contributes to CVD by identifying the epigenetic landscape regulating cardiac aging among species; 1B. To decode how epigenetic deregulation induces DCM by integrating clinical data and samples from DCM-transplanted patients with imaging, transcriptomic, proteomic, and functional approaches from DCM model; and, 2A. To identified systemic factors with anti-cardiomyopathic effects by systematic proteomic screenings after parabiosis and epigenome of the DCM hearts. In sum, YOUNGatHEART puts forward an ambitious but feasible and pioneering program to tackle the epigenetic hallmark in cardiac aging with the final aim (2B) of setting the molecular basis for future therapeutic interventions in CVD.
Summary
Aging poses the largest risk for cardiovascular disease (CVD) and is orchestrated, to some extent, by epigenetic changes. Despite the significant progress on many fronts in the cardiovascular field, non-inherited epigenetic regulation in cardiac aging and CVD remains unexplored. Dilated Cardiomyopathy (DCM) is a major contributor to healthcare costs and it is the leading indication for heart transplantation. We have recently discovered that adult cardiac-specific deletion of epigenetic regulator Bmi1 in mice induces DCM and heart failure. These unprecedented data support the idea that inadequate epigenetic regulation in adulthood is critical in CVD. In addition, our studies with parabiotic pairing of healthy and DCM-diagnosed mice show that the circulation of a healthy mouse significantly improve the cardiac performance of mouse with DCM. These ground-breaking discoveries suggest that DCM regression, or cardiac rejuvenation, is feasible in terms of epigenetic states. Therefore, YOUNGatHEART will unveil significant breakthrough on (1) how non-inherited epigenetic deregulation induces DCM and (2) how epigenetic remodeling reversed this process. For that, our challenges are: 1A. To decipher how aged-linked cardiac dysfunction contributes to CVD by identifying the epigenetic landscape regulating cardiac aging among species; 1B. To decode how epigenetic deregulation induces DCM by integrating clinical data and samples from DCM-transplanted patients with imaging, transcriptomic, proteomic, and functional approaches from DCM model; and, 2A. To identified systemic factors with anti-cardiomyopathic effects by systematic proteomic screenings after parabiosis and epigenome of the DCM hearts. In sum, YOUNGatHEART puts forward an ambitious but feasible and pioneering program to tackle the epigenetic hallmark in cardiac aging with the final aim (2B) of setting the molecular basis for future therapeutic interventions in CVD.
Max ERC Funding
1 861 910 €
Duration
Start date: 2015-11-01, End date: 2020-10-31