Project acronym 2D-PnictoChem
Project Chemistry and Interface Control of Novel 2D-Pnictogen Nanomaterials
Researcher (PI) Gonzalo ABELLAN SAEZ
Host Institution (HI) UNIVERSITAT DE VALENCIA
Call Details Starting Grant (StG), PE5, ERC-2018-STG
Summary 2D-PnictoChem aims at exploring the Chemistry of a novel class of graphene-like 2D layered
elemental materials of group 15, the pnictogens: P, As, Sb, and Bi. In the last few years, these materials
have taken the field of Materials Science by storm since they can outperform and/or complement graphene
properties. Their strongly layer-dependent unique properties range from semiconducting to metallic,
including high carrier mobilities, tunable bandgaps, strong spin-orbit coupling or transparency. However,
the Chemistry of pnictogens is still in its infancy, remaining largely unexplored. This is the niche that
2D-PnictoChem aims to fill. By mastering the interface chemistry, we will develop the assembly of 2Dpnictogens
in complex hybrid heterostructures for the first time. Success will rely on a cross-disciplinary
approach combining both Inorganic- and Organic Chemistry with Solid-state Physics, including: 1)
Synthetizing and exfoliating high quality ultra-thin layer pnictogens, providing reliable access down to
the monolayer limit. 2) Achieving their chemical functionalization via both non-covalent and covalent
approaches in order to tailor at will their properties, decipher reactivity patterns and enable controlled
doping avenues. 3) Developing hybrid architectures through a precise chemical control of the interface,
in order to promote unprecedented access to novel heterostructures. 4) Exploring novel applications
concepts achieving outstanding performances. These are all priorities in the European Union agenda
aimed at securing an affordable, clean energy future by developing more efficient hybrid systems for
batteries, electronic devices or applications in catalysis. The opportunity is unique to reduce Europe’s
dependence on external technology and the PI’s background is ideally suited to tackle these objectives,
counting as well on a multidisciplinary team of international collaborators.
Summary
2D-PnictoChem aims at exploring the Chemistry of a novel class of graphene-like 2D layered
elemental materials of group 15, the pnictogens: P, As, Sb, and Bi. In the last few years, these materials
have taken the field of Materials Science by storm since they can outperform and/or complement graphene
properties. Their strongly layer-dependent unique properties range from semiconducting to metallic,
including high carrier mobilities, tunable bandgaps, strong spin-orbit coupling or transparency. However,
the Chemistry of pnictogens is still in its infancy, remaining largely unexplored. This is the niche that
2D-PnictoChem aims to fill. By mastering the interface chemistry, we will develop the assembly of 2Dpnictogens
in complex hybrid heterostructures for the first time. Success will rely on a cross-disciplinary
approach combining both Inorganic- and Organic Chemistry with Solid-state Physics, including: 1)
Synthetizing and exfoliating high quality ultra-thin layer pnictogens, providing reliable access down to
the monolayer limit. 2) Achieving their chemical functionalization via both non-covalent and covalent
approaches in order to tailor at will their properties, decipher reactivity patterns and enable controlled
doping avenues. 3) Developing hybrid architectures through a precise chemical control of the interface,
in order to promote unprecedented access to novel heterostructures. 4) Exploring novel applications
concepts achieving outstanding performances. These are all priorities in the European Union agenda
aimed at securing an affordable, clean energy future by developing more efficient hybrid systems for
batteries, electronic devices or applications in catalysis. The opportunity is unique to reduce Europe’s
dependence on external technology and the PI’s background is ideally suited to tackle these objectives,
counting as well on a multidisciplinary team of international collaborators.
Max ERC Funding
1 499 419 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym 4DBIOSERS
Project Four-Dimensional Monitoring of Tumour Growth by Surface Enhanced Raman Scattering
Researcher (PI) Luis LIZ-MARZAN
Host Institution (HI) ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN BIOMATERIALES- CIC biomaGUNE
Call Details Advanced Grant (AdG), PE5, ERC-2017-ADG
Summary Optical bioimaging is limited by visible light penetration depth and stability of fluorescent dyes over extended periods of time. Surface enhanced Raman scattering (SERS) offers the possibility to overcome these drawbacks, through SERS-encoded nanoparticle tags, which can be excited with near-IR light (within the biological transparency window), providing high intensity, stable, multiplexed signals. SERS can also be used to monitor relevant bioanalytes within cells and tissues, during the development of diseases, such as tumours. In 4DBIOSERS we shall combine both capabilities of SERS, to go well beyond the current state of the art, by building three-dimensional scaffolds that support tissue (tumour) growth within a controlled environment, so that not only the fate of each (SERS-labelled) cell within the tumour can be monitored in real time (thus adding a fourth dimension to SERS bioimaging), but also recording the release of tumour metabolites and other indicators of cellular activity. Although 4DBIOSERS can be applied to a variety of diseases, we shall focus on cancer, melanoma and breast cancer in particular, as these are readily accessible by optical methods. We aim at acquiring a better understanding of tumour growth and dynamics, while avoiding animal experimentation. 3D printing will be used to generate hybrid scaffolds where tumour and healthy cells will be co-incubated to simulate a more realistic environment, thus going well beyond the potential of 2D cell cultures. Each cell type will be encoded with ultra-bright SERS tags, so that real-time monitoring can be achieved by confocal SERS microscopy. Tumour development will be correlated with simultaneous detection of various cancer biomarkers, during standard conditions and upon addition of selected drugs. The scope of 4DBIOSERS is multidisciplinary, as it involves the design of high-end nanocomposites, development of 3D cell culture models and optimization of emerging SERS tomography methods.
Summary
Optical bioimaging is limited by visible light penetration depth and stability of fluorescent dyes over extended periods of time. Surface enhanced Raman scattering (SERS) offers the possibility to overcome these drawbacks, through SERS-encoded nanoparticle tags, which can be excited with near-IR light (within the biological transparency window), providing high intensity, stable, multiplexed signals. SERS can also be used to monitor relevant bioanalytes within cells and tissues, during the development of diseases, such as tumours. In 4DBIOSERS we shall combine both capabilities of SERS, to go well beyond the current state of the art, by building three-dimensional scaffolds that support tissue (tumour) growth within a controlled environment, so that not only the fate of each (SERS-labelled) cell within the tumour can be monitored in real time (thus adding a fourth dimension to SERS bioimaging), but also recording the release of tumour metabolites and other indicators of cellular activity. Although 4DBIOSERS can be applied to a variety of diseases, we shall focus on cancer, melanoma and breast cancer in particular, as these are readily accessible by optical methods. We aim at acquiring a better understanding of tumour growth and dynamics, while avoiding animal experimentation. 3D printing will be used to generate hybrid scaffolds where tumour and healthy cells will be co-incubated to simulate a more realistic environment, thus going well beyond the potential of 2D cell cultures. Each cell type will be encoded with ultra-bright SERS tags, so that real-time monitoring can be achieved by confocal SERS microscopy. Tumour development will be correlated with simultaneous detection of various cancer biomarkers, during standard conditions and upon addition of selected drugs. The scope of 4DBIOSERS is multidisciplinary, as it involves the design of high-end nanocomposites, development of 3D cell culture models and optimization of emerging SERS tomography methods.
Max ERC Funding
2 410 771 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym ADJUV-ANT VACCINES
Project Elucidating the Molecular Mechanisms of Synthetic Saponin Adjuvants and Development of Novel Self-Adjuvanting Vaccines
Researcher (PI) Alberto FERNANDEZ TEJADA
Host Institution (HI) ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN BIOCIENCIAS
Call Details Starting Grant (StG), PE5, ERC-2016-STG
Summary The clinical success of anticancer and antiviral vaccines often requires the use of an adjuvant, a substance that helps stimulate the body’s immune response to the vaccine, making it work better. However, few adjuvants are sufficiently potent and non-toxic for clinical use; moreover, it is not really known how they work. Current vaccine approaches based on weak carbohydrate and glycopeptide antigens are not being particularly effective to induce the human immune system to mount an effective fight against cancer. Despite intensive research and several clinical trials, no such carbohydrate-based antitumor vaccine has yet been approved for public use. In this context, the proposed project has a double, ultimate goal based on applying chemistry to address the above clear gaps in the adjuvant-vaccine field. First, I will develop new improved adjuvants and novel chemical strategies towards more effective, self-adjuvanting synthetic vaccines. Second, I will probe deeply into the molecular mechanisms of the synthetic constructs by combining extensive immunological evaluations with molecular target identification and detailed conformational studies. Thus, the singularity of this multidisciplinary proposal stems from the integration of its main objectives and approaches connecting chemical synthesis and chemical/structural biology with cellular and molecular immunology. This ground-breaking project at the chemistry-biology frontier will allow me to establish my own independent research group and explore key unresolved mechanistic questions in the adjuvant/vaccine arena with extraordinary chemical precision. Therefore, with this transformative and timely research program I aim to (a) develop novel synthetic antitumor and antiviral vaccines with improved properties and efficacy for their prospective translation into the clinic and (b) gain new critical insights into the molecular basis and three-dimensional structure underlying the biological activity of these constructs.
Summary
The clinical success of anticancer and antiviral vaccines often requires the use of an adjuvant, a substance that helps stimulate the body’s immune response to the vaccine, making it work better. However, few adjuvants are sufficiently potent and non-toxic for clinical use; moreover, it is not really known how they work. Current vaccine approaches based on weak carbohydrate and glycopeptide antigens are not being particularly effective to induce the human immune system to mount an effective fight against cancer. Despite intensive research and several clinical trials, no such carbohydrate-based antitumor vaccine has yet been approved for public use. In this context, the proposed project has a double, ultimate goal based on applying chemistry to address the above clear gaps in the adjuvant-vaccine field. First, I will develop new improved adjuvants and novel chemical strategies towards more effective, self-adjuvanting synthetic vaccines. Second, I will probe deeply into the molecular mechanisms of the synthetic constructs by combining extensive immunological evaluations with molecular target identification and detailed conformational studies. Thus, the singularity of this multidisciplinary proposal stems from the integration of its main objectives and approaches connecting chemical synthesis and chemical/structural biology with cellular and molecular immunology. This ground-breaking project at the chemistry-biology frontier will allow me to establish my own independent research group and explore key unresolved mechanistic questions in the adjuvant/vaccine arena with extraordinary chemical precision. Therefore, with this transformative and timely research program I aim to (a) develop novel synthetic antitumor and antiviral vaccines with improved properties and efficacy for their prospective translation into the clinic and (b) gain new critical insights into the molecular basis and three-dimensional structure underlying the biological activity of these constructs.
Max ERC Funding
1 499 219 €
Duration
Start date: 2017-03-01, End date: 2022-02-28
Project acronym ANGEOM
Project Geometric analysis in the Euclidean space
Researcher (PI) Xavier Tolsa Domenech
Host Institution (HI) UNIVERSITAT AUTONOMA DE BARCELONA
Call Details Advanced Grant (AdG), PE1, ERC-2012-ADG_20120216
Summary "We propose to study different questions in the area of the so called geometric analysis. Most of the topics we are interested in deal with the connection between the behavior of singular integrals and the geometry of sets and measures. The study of this connection has been shown to be extremely helpful in the solution of certain long standing problems in the last years, such as the solution of the Painlev\'e problem or the obtaining of the optimal distortion bounds for quasiconformal mappings by Astala.
More specifically, we would like to study the relationship between the L^2 boundedness of singular integrals associated with Riesz and other related kernels, and rectifiability and other geometric notions. The so called David-Semmes problem is probably the main open problem in this area. Up to now, the techniques used to deal with this problem come from multiscale analysis and involve ideas from Littlewood-Paley theory and quantitative techniques of rectifiability. We propose to apply new ideas that combine variational arguments with other techniques which have connections with mass transportation. Further, we think that it is worth to explore in more detail the connection among mass transportation, singular integrals, and uniform rectifiability.
We are also interested in the field of quasiconformal mappings. We plan to study a problem regarding the quasiconformal distortion of quasicircles. This problem consists in proving that the bounds obtained recently by S. Smirnov on the dimension of K-quasicircles are optimal. We want to apply techniques from quantitative geometric measure theory to deal with this question.
Another question that we intend to explore lies in the interplay of harmonic analysis, geometric measure theory and partial differential equations. This concerns an old problem on the unique continuation of harmonic functions at the boundary open C^1 or Lipschitz domain. All the results known by now deal with smoother Dini domains."
Summary
"We propose to study different questions in the area of the so called geometric analysis. Most of the topics we are interested in deal with the connection between the behavior of singular integrals and the geometry of sets and measures. The study of this connection has been shown to be extremely helpful in the solution of certain long standing problems in the last years, such as the solution of the Painlev\'e problem or the obtaining of the optimal distortion bounds for quasiconformal mappings by Astala.
More specifically, we would like to study the relationship between the L^2 boundedness of singular integrals associated with Riesz and other related kernels, and rectifiability and other geometric notions. The so called David-Semmes problem is probably the main open problem in this area. Up to now, the techniques used to deal with this problem come from multiscale analysis and involve ideas from Littlewood-Paley theory and quantitative techniques of rectifiability. We propose to apply new ideas that combine variational arguments with other techniques which have connections with mass transportation. Further, we think that it is worth to explore in more detail the connection among mass transportation, singular integrals, and uniform rectifiability.
We are also interested in the field of quasiconformal mappings. We plan to study a problem regarding the quasiconformal distortion of quasicircles. This problem consists in proving that the bounds obtained recently by S. Smirnov on the dimension of K-quasicircles are optimal. We want to apply techniques from quantitative geometric measure theory to deal with this question.
Another question that we intend to explore lies in the interplay of harmonic analysis, geometric measure theory and partial differential equations. This concerns an old problem on the unique continuation of harmonic functions at the boundary open C^1 or Lipschitz domain. All the results known by now deal with smoother Dini domains."
Max ERC Funding
1 105 930 €
Duration
Start date: 2013-05-01, End date: 2018-04-30
Project acronym ARISYS
Project Engineering an artificial immune system with functional components assembled from prokaryotic parts and modules
Researcher (PI) Víctor De Lorenzo Prieto
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Advanced Grant (AdG), LS9, ERC-2012-ADG_20120314
Summary The objective of this project is to overcome current limitations for antibody production that are inherent to the extant immune system of vertebrates. This will be done by creating an all-in-one artificial/synthetic counterpart based exclusively on prokaryotic parts, devices and modules. To this end, ARISYS will exploit design concepts, construction hierarchies and standardization notions that stem from contemporary Synthetic Biology for the assembly and validation of (what we believe is) the most complex artificial biological system ventured thus far. This all-bacterial immune-like system will not only simplify and make affordable the manipulations necessary for antibody generation, but will also permit the application of such binders by themselves or displayed on bacterial cells to biotechnological challenges well beyond therapeutic and health-related uses. The work plan involves the assembly and validation of autonomous functional modules for [i] displaying antibody/affibody (AB) scaffolds attached to the surface of bacterial cells, [ii] conditional diversification of target-binding sequences of the ABs, [iii] contact-dependent activation of gene expression, [iv] reversible bi-stable switches, and [v] clonal selection and amplification of improved binders. These modules composed of stand-alone parts and bearing well defined input/output functions, will be assembled in the genomic chassis of streamlined Escherichia coli and Pseudomonas putida strains. The resulting molecular network will make the ABs expressed and displayed on the cell surface to proceed spontaneously (or at the user's decision) through subsequent cycles of affinity and specificity maturation towards antigens or other targets presented to the bacterial population. In this way, a single, easy-to-handle (albeit heavily engineered) strain will govern all operations that are typically scattered in a multitude of separate methods and apparatuses for AB production.
Summary
The objective of this project is to overcome current limitations for antibody production that are inherent to the extant immune system of vertebrates. This will be done by creating an all-in-one artificial/synthetic counterpart based exclusively on prokaryotic parts, devices and modules. To this end, ARISYS will exploit design concepts, construction hierarchies and standardization notions that stem from contemporary Synthetic Biology for the assembly and validation of (what we believe is) the most complex artificial biological system ventured thus far. This all-bacterial immune-like system will not only simplify and make affordable the manipulations necessary for antibody generation, but will also permit the application of such binders by themselves or displayed on bacterial cells to biotechnological challenges well beyond therapeutic and health-related uses. The work plan involves the assembly and validation of autonomous functional modules for [i] displaying antibody/affibody (AB) scaffolds attached to the surface of bacterial cells, [ii] conditional diversification of target-binding sequences of the ABs, [iii] contact-dependent activation of gene expression, [iv] reversible bi-stable switches, and [v] clonal selection and amplification of improved binders. These modules composed of stand-alone parts and bearing well defined input/output functions, will be assembled in the genomic chassis of streamlined Escherichia coli and Pseudomonas putida strains. The resulting molecular network will make the ABs expressed and displayed on the cell surface to proceed spontaneously (or at the user's decision) through subsequent cycles of affinity and specificity maturation towards antigens or other targets presented to the bacterial population. In this way, a single, easy-to-handle (albeit heavily engineered) strain will govern all operations that are typically scattered in a multitude of separate methods and apparatuses for AB production.
Max ERC Funding
2 422 271 €
Duration
Start date: 2013-05-01, End date: 2019-04-30
Project acronym B-INNATE
Project Innate signaling networks in B cell antibody production: new targets for vaccine development
Researcher (PI) Andrea Cerutti
Host Institution (HI) FUNDACIO INSTITUT MAR D INVESTIGACIONS MEDIQUES IMIM
Call Details Advanced Grant (AdG), LS6, ERC-2011-ADG_20110310
Summary The long-term goal of this proposal is to explore a novel immune pathway that involves an unexpected interplay between marginal zone (MZ) B cells and neutrophils. MZ B cells are strategically positioned at the interface between the immune system and the circulation and rapidly produce protective antibodies to blood-borne pathogens through a T cell-independent pathway that remains poorly understood. We recently found that the human spleen contains a novel subset of B cell helper neutrophils (NBH cells) with a phenotype and gene expression profile distinct from those of conventional circulating neutrophils (NC cells). In this proposal, we hypothesize that NC cells undergo splenic reprogramming into NBH cells through an IL-10-dependent pathway involving perifollicular sinusoidal endothelial cells. We contend that these unique endothelial cells release NC cell-attracting chemokines and IL-10 upon sensing blood-borne bacteria through Toll-like receptors. We also argue that IL-10 from sinusoidal endothelial cells stimulates NC cells to differentiate into NBH cells equipped with powerful MZ B cell-stimulating activity. The following three aims will be pursued. Aim 1 is to determine the mechanisms by which splenic sinusoidal endothelial cells induce reprogramming of NC cells into NBH cells upon sensing bacteria through Toll-like receptors. Aim 2 is to elucidate the mechanisms by which NBH cells induce IgM production, IgG and IgA class switching, and plasma cell differentiation in MZ B cells. Aim 3 is to evaluate the mechanisms by which NBH cells induce V(D)J gene somatic hypermutation and high-affinity antibody production in MZ B cells. These studies will uncover previously unknown facets of the immunological function of neutrophils by taking advantage of unique cells and tissues from patients with rare primary immunodeficiencies and by making use of selected mouse models. Results from these studies may also lead to the identification of novel vaccine strategies.
Summary
The long-term goal of this proposal is to explore a novel immune pathway that involves an unexpected interplay between marginal zone (MZ) B cells and neutrophils. MZ B cells are strategically positioned at the interface between the immune system and the circulation and rapidly produce protective antibodies to blood-borne pathogens through a T cell-independent pathway that remains poorly understood. We recently found that the human spleen contains a novel subset of B cell helper neutrophils (NBH cells) with a phenotype and gene expression profile distinct from those of conventional circulating neutrophils (NC cells). In this proposal, we hypothesize that NC cells undergo splenic reprogramming into NBH cells through an IL-10-dependent pathway involving perifollicular sinusoidal endothelial cells. We contend that these unique endothelial cells release NC cell-attracting chemokines and IL-10 upon sensing blood-borne bacteria through Toll-like receptors. We also argue that IL-10 from sinusoidal endothelial cells stimulates NC cells to differentiate into NBH cells equipped with powerful MZ B cell-stimulating activity. The following three aims will be pursued. Aim 1 is to determine the mechanisms by which splenic sinusoidal endothelial cells induce reprogramming of NC cells into NBH cells upon sensing bacteria through Toll-like receptors. Aim 2 is to elucidate the mechanisms by which NBH cells induce IgM production, IgG and IgA class switching, and plasma cell differentiation in MZ B cells. Aim 3 is to evaluate the mechanisms by which NBH cells induce V(D)J gene somatic hypermutation and high-affinity antibody production in MZ B cells. These studies will uncover previously unknown facets of the immunological function of neutrophils by taking advantage of unique cells and tissues from patients with rare primary immunodeficiencies and by making use of selected mouse models. Results from these studies may also lead to the identification of novel vaccine strategies.
Max ERC Funding
2 214 035 €
Duration
Start date: 2012-04-01, End date: 2017-09-30
Project acronym BacBio
Project Mechanistic and functional studies of Bacillus biofilms assembly on plants, and their impact in sustainable agriculture and food safety
Researcher (PI) Diego Francisco Romero Hinojosa
Host Institution (HI) UNIVERSIDAD DE MALAGA
Call Details Starting Grant (StG), LS9, ERC-2014-STG
Summary Sustainable agriculture is an ambitious concept conceived to improve productivity but minimizing side effects. Why the efficiency of a biocontrol agent is so variable? How can different therapies be efficiently exploited in a combined way to combat microbial diseases? These are questions that need investigation to convey with criteria of sustainability. What I present is an integral proposal aim to study the microbial ecology and specifically bacterial biofilms as a central axis of two differential but likely interconnected scenarios in plant health: i) the beneficial interaction of the biocontrol agent (BCA) Bacillus subtilis, and ii) the non-conventional interaction of the food-borne pathogen Bacillus cereus.
I will start working with B. subtilis, and reasons are: 1) Different isolates are promising BCAs and are commercialized for such purpose, 2) There exist vast information of the genetics circuitries that govern important aspects of B. subtilis physiology as antibiotic production, cell differentiation, and biofilm formation. In parallel I propose to study the way B. cereus, a food-borne pathogenic bacterium interacts with vegetables. I am planning to set up a multidisciplinary approach that will combine genetics, biochemistry, proteomics, cell biology and molecular biology to visualize how these bacterial population interacts, communicates with plants and other microorganisms, or how all these factors trigger or inhibit the developmental program ending in biofilm formation. I am also interested on knowing if structural components of the bacterial extracellular matrix (exopolysaccharides or amyloid proteins) are important for bacterial fitness. If this were the case, I will also investigate which external factors affect their expression and assembly in functional biofilms. The insights get on these studies are committed to impulse our knowledge on microbial ecology and their biotechnological applicability to sustainable agriculture and food safety.
Summary
Sustainable agriculture is an ambitious concept conceived to improve productivity but minimizing side effects. Why the efficiency of a biocontrol agent is so variable? How can different therapies be efficiently exploited in a combined way to combat microbial diseases? These are questions that need investigation to convey with criteria of sustainability. What I present is an integral proposal aim to study the microbial ecology and specifically bacterial biofilms as a central axis of two differential but likely interconnected scenarios in plant health: i) the beneficial interaction of the biocontrol agent (BCA) Bacillus subtilis, and ii) the non-conventional interaction of the food-borne pathogen Bacillus cereus.
I will start working with B. subtilis, and reasons are: 1) Different isolates are promising BCAs and are commercialized for such purpose, 2) There exist vast information of the genetics circuitries that govern important aspects of B. subtilis physiology as antibiotic production, cell differentiation, and biofilm formation. In parallel I propose to study the way B. cereus, a food-borne pathogenic bacterium interacts with vegetables. I am planning to set up a multidisciplinary approach that will combine genetics, biochemistry, proteomics, cell biology and molecular biology to visualize how these bacterial population interacts, communicates with plants and other microorganisms, or how all these factors trigger or inhibit the developmental program ending in biofilm formation. I am also interested on knowing if structural components of the bacterial extracellular matrix (exopolysaccharides or amyloid proteins) are important for bacterial fitness. If this were the case, I will also investigate which external factors affect their expression and assembly in functional biofilms. The insights get on these studies are committed to impulse our knowledge on microbial ecology and their biotechnological applicability to sustainable agriculture and food safety.
Max ERC Funding
1 453 563 €
Duration
Start date: 2015-03-01, End date: 2021-02-28
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 BacRafts
Project Architecture of bacterial lipid rafts; inhibition of virulence and antibiotic resistance using raft-disassembling small molecules
Researcher (PI) Daniel López Serrano
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Starting Grant (StG), LS6, ERC-2013-StG
Summary Membranes of eukaryotic cells organize signal transduction proteins into microdomains or lipid rafts whose integrity is essential for numerous cellular processes. Lipid rafts has been considered a fundamental step to define the cellular complexity of eukaryotes, assuming that bacteria do not require such a sophisticated organization of their signaling networks. However, I have discovered that bacteria organize many signaling pathways in membrane microdomains similar to the eukaryotic lipid rafts. Perturbation of bacterial lipid rafts leads to a potent and simultaneous impairment of all raft-harbored signaling pathways. Consequently, the disassembly of lipid rafts in pathogens like Staphylococcus aureus generates a simultaneous inhibition of numerous infection-related processes that can be further explored to control bacterial infections. This unexpected sophistication in membrane organization is unprecedented in bacteria and hence, this proposal will explore the molecular basis of the assembly of bacterial lipid rafts and their role in the infection-related processes. These questions will be addressed in three main goals: First, I will elucidate the molecular components and the mechanism of assembly of bacterial lipid rafts using S. aureus as model organism. Second, I will dissect the molecular basis that links the functionality of the infection-related processes to the integrity of bacterial lipid rafts. Third, my collection of anti-raft small molecules that are able to disrupt lipid rafts will be tested as antimicrobial agents to prevent hospital-acquired infections, abrogate pre-existing infections and develop bacteria-free materials that can be used in clinical settings. I will use a number of molecular approaches in combination with cutting-edge techniques in flow cytometry, cell-imaging and transcriptomics to clarify the architecture and functionality of lipid rafts and demonstrate the feasibility of targeting lipid a new strategy for anti-microbial therapy.
Summary
Membranes of eukaryotic cells organize signal transduction proteins into microdomains or lipid rafts whose integrity is essential for numerous cellular processes. Lipid rafts has been considered a fundamental step to define the cellular complexity of eukaryotes, assuming that bacteria do not require such a sophisticated organization of their signaling networks. However, I have discovered that bacteria organize many signaling pathways in membrane microdomains similar to the eukaryotic lipid rafts. Perturbation of bacterial lipid rafts leads to a potent and simultaneous impairment of all raft-harbored signaling pathways. Consequently, the disassembly of lipid rafts in pathogens like Staphylococcus aureus generates a simultaneous inhibition of numerous infection-related processes that can be further explored to control bacterial infections. This unexpected sophistication in membrane organization is unprecedented in bacteria and hence, this proposal will explore the molecular basis of the assembly of bacterial lipid rafts and their role in the infection-related processes. These questions will be addressed in three main goals: First, I will elucidate the molecular components and the mechanism of assembly of bacterial lipid rafts using S. aureus as model organism. Second, I will dissect the molecular basis that links the functionality of the infection-related processes to the integrity of bacterial lipid rafts. Third, my collection of anti-raft small molecules that are able to disrupt lipid rafts will be tested as antimicrobial agents to prevent hospital-acquired infections, abrogate pre-existing infections and develop bacteria-free materials that can be used in clinical settings. I will use a number of molecular approaches in combination with cutting-edge techniques in flow cytometry, cell-imaging and transcriptomics to clarify the architecture and functionality of lipid rafts and demonstrate the feasibility of targeting lipid a new strategy for anti-microbial therapy.
Max ERC Funding
1 493 126 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
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