Project acronym ALLEGRO
Project unrAvelLing sLow modE travelinG and tRaffic: with innOvative data to a new transportation and traffic theory for pedestrians and bicycles
Researcher (PI) Serge Hoogendoorn
Host Institution (HI) TECHNISCHE UNIVERSITEIT DELFT
Call Details Advanced Grant (AdG), SH3, ERC-2014-ADG
Summary A major challenge in contemporary traffic and transportation theory is having a comprehensive understanding of pedestrians and cyclists behaviour. This is notoriously hard to observe, since sensors providing abundant and detailed information about key variables characterising this behaviour have not been available until very recently. The behaviour is also far more complex than that of the much better understood fast mode. This is due to the many degrees of freedom in decision-making, the interactions among slow traffic participants that are more involved and far less guided by traffic rules and regulations than those between car-drivers, and the many fascinating but complex phenomena in slow traffic flows (self-organised patterns, turbulence, spontaneous phase transitions, herding, etc.) that are very hard to predict accurately.
With slow traffic modes gaining ground in terms of mode share in many cities, lack of empirical insights, behavioural theories, predictively valid analytical and simulation models, and tools to support planning, design, management and control is posing a major societal problem as well: examples of major accidents due to bad planning, organisation and management of events are manifold, as are locations where safety of slow modes is a serious issue due to interactions with fast modes.
This programme is geared towards establishing a comprehensive theory of slow mode traffic behaviour, considering the different behavioural levels relevant for understanding, reproducing and predicting slow mode traffic flows in cities. The levels deal with walking and cycling operations, activity scheduling and travel behaviour, and knowledge representation and learning. Major scientific breakthroughs are expected at each of these levels, in terms of theory and modelling, by using innovative (big) data collection and experimentation, analysis and fusion techniques, including social media data analytics, using augmented reality, and remote and crowd sensing.
Summary
A major challenge in contemporary traffic and transportation theory is having a comprehensive understanding of pedestrians and cyclists behaviour. This is notoriously hard to observe, since sensors providing abundant and detailed information about key variables characterising this behaviour have not been available until very recently. The behaviour is also far more complex than that of the much better understood fast mode. This is due to the many degrees of freedom in decision-making, the interactions among slow traffic participants that are more involved and far less guided by traffic rules and regulations than those between car-drivers, and the many fascinating but complex phenomena in slow traffic flows (self-organised patterns, turbulence, spontaneous phase transitions, herding, etc.) that are very hard to predict accurately.
With slow traffic modes gaining ground in terms of mode share in many cities, lack of empirical insights, behavioural theories, predictively valid analytical and simulation models, and tools to support planning, design, management and control is posing a major societal problem as well: examples of major accidents due to bad planning, organisation and management of events are manifold, as are locations where safety of slow modes is a serious issue due to interactions with fast modes.
This programme is geared towards establishing a comprehensive theory of slow mode traffic behaviour, considering the different behavioural levels relevant for understanding, reproducing and predicting slow mode traffic flows in cities. The levels deal with walking and cycling operations, activity scheduling and travel behaviour, and knowledge representation and learning. Major scientific breakthroughs are expected at each of these levels, in terms of theory and modelling, by using innovative (big) data collection and experimentation, analysis and fusion techniques, including social media data analytics, using augmented reality, and remote and crowd sensing.
Max ERC Funding
2 458 700 €
Duration
Start date: 2015-11-01, End date: 2020-10-31
Project acronym ATTACK
Project Pressured to Attack: How Carrying-Capacity Stress Creates and Shapes Intergroup Conflict
Researcher (PI) Carsten DE DREU
Host Institution (HI) UNIVERSITEIT LEIDEN
Call Details Advanced Grant (AdG), SH3, ERC-2017-ADG
Summary Throughout history, what has been causing tremendous suffering is groups of people fighting each other. While behavioral science research has advanced our understanding of such intergroup conflict, it has exclusively focused on micro-level processes within and between groups at conflict. Disciplines that employ a more historical perspective like climate studies or political geography report that macro-level pressures due to changes in climate or economic scarcity can go along with social unrest and wars. How do these macro-level pressures relate to micro-level processes? Do they both occur independently, or do macro-level pressures trigger micro-level processes that cause intergroup conflict? And if so, which micro-level processes are triggered, and how?
With unavoidable signs of climate change and increasing resource scarcities, answers to these questions are urgently needed. Here I propose carrying-capacity stress (CCS) as the missing link between macro-level pressures and micro-level processes. A group experiences CCS when its resources do not suffice to maintain its functionality. CCS is a function of macro-level pressures and creates intergroup conflict because it impacts micro-level motivation to contribute to one’s group’s fighting capacity and shapes the coordination of individual contributions to out-group aggression through emergent norms, communication and leadership.
To test these propositions I develop a parametric model of CCS that is amenable to measurement and experimentation, and use techniques used in my work on conflict and cooperation: Meta-analyses and time-series analysis of macro-level historical data; experiments on intergroup conflict; and measurement of neuro-hormonal correlates of cooperation and conflict. In combination, this project provides novel multi-level conflict theory that integrates macro-level discoveries in climate research and political geography with micro-level processes uncovered in the biobehavioral sciences
Summary
Throughout history, what has been causing tremendous suffering is groups of people fighting each other. While behavioral science research has advanced our understanding of such intergroup conflict, it has exclusively focused on micro-level processes within and between groups at conflict. Disciplines that employ a more historical perspective like climate studies or political geography report that macro-level pressures due to changes in climate or economic scarcity can go along with social unrest and wars. How do these macro-level pressures relate to micro-level processes? Do they both occur independently, or do macro-level pressures trigger micro-level processes that cause intergroup conflict? And if so, which micro-level processes are triggered, and how?
With unavoidable signs of climate change and increasing resource scarcities, answers to these questions are urgently needed. Here I propose carrying-capacity stress (CCS) as the missing link between macro-level pressures and micro-level processes. A group experiences CCS when its resources do not suffice to maintain its functionality. CCS is a function of macro-level pressures and creates intergroup conflict because it impacts micro-level motivation to contribute to one’s group’s fighting capacity and shapes the coordination of individual contributions to out-group aggression through emergent norms, communication and leadership.
To test these propositions I develop a parametric model of CCS that is amenable to measurement and experimentation, and use techniques used in my work on conflict and cooperation: Meta-analyses and time-series analysis of macro-level historical data; experiments on intergroup conflict; and measurement of neuro-hormonal correlates of cooperation and conflict. In combination, this project provides novel multi-level conflict theory that integrates macro-level discoveries in climate research and political geography with micro-level processes uncovered in the biobehavioral sciences
Max ERC Funding
2 490 383 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym BAM
Project Becoming A Minority
Researcher (PI) Maurice CRUL
Host Institution (HI) STICHTING VU
Call Details Advanced Grant (AdG), SH3, ERC-2016-ADG
Summary In the last forty years, researchers in the Field of Migration and Ethnic Studies looked at the integration of migrants and their descendants. Concepts, methodological tools and theoretical frameworks have been developed to measure and predict integration outcomes both across different ethnic groups and in comparison with people of native descent. But are we also looking into the actual integration of the receiving group of native ‘white’ descent in city contexts where they have become a numerical minority themselves? In cities like Amsterdam, now only one in three youngsters under age fifteen is of native descent. This situation, referred to as a majority-minority context, is a new phenomenon in Western Europe and it presents itself as one of the most important societal and psychological transformations of our time. I argue that the field of migration and ethnic studies is stagnating because of the one-sided focus on migrants and their children. This is even more urgent given the increased ant-immigrant vote. These pressing scientific and societal reasons pushed me to develop the project BAM (Becoming A Minority). The project will be executed in three harbor cities, Rotterdam, Antwerp and Malmö, and three service sector cities, Amsterdam, Frankfurt and Vienna. BAM consists of 5 subprojects: (1) A meta-analysis of secondary data on people of native ‘white’ descent in the six research sites; (2) A newly developed survey for the target group; (3) An analysis of critical circumstances of encounter that trigger either positive or rather negative responses to increased ethnic diversity (4) Experimental diversity labs to test under which circumstances people will change their attitudes or their actions towards increased ethnic diversity; (5) The formulation of a new theory of integration that includes the changed position of the group of native ‘white’ descent as an important actor.
Summary
In the last forty years, researchers in the Field of Migration and Ethnic Studies looked at the integration of migrants and their descendants. Concepts, methodological tools and theoretical frameworks have been developed to measure and predict integration outcomes both across different ethnic groups and in comparison with people of native descent. But are we also looking into the actual integration of the receiving group of native ‘white’ descent in city contexts where they have become a numerical minority themselves? In cities like Amsterdam, now only one in three youngsters under age fifteen is of native descent. This situation, referred to as a majority-minority context, is a new phenomenon in Western Europe and it presents itself as one of the most important societal and psychological transformations of our time. I argue that the field of migration and ethnic studies is stagnating because of the one-sided focus on migrants and their children. This is even more urgent given the increased ant-immigrant vote. These pressing scientific and societal reasons pushed me to develop the project BAM (Becoming A Minority). The project will be executed in three harbor cities, Rotterdam, Antwerp and Malmö, and three service sector cities, Amsterdam, Frankfurt and Vienna. BAM consists of 5 subprojects: (1) A meta-analysis of secondary data on people of native ‘white’ descent in the six research sites; (2) A newly developed survey for the target group; (3) An analysis of critical circumstances of encounter that trigger either positive or rather negative responses to increased ethnic diversity (4) Experimental diversity labs to test under which circumstances people will change their attitudes or their actions towards increased ethnic diversity; (5) The formulation of a new theory of integration that includes the changed position of the group of native ‘white’ descent as an important actor.
Max ERC Funding
2 499 714 €
Duration
Start date: 2017-11-01, End date: 2022-10-31
Project acronym BLOCKCHAINSOCIETY
Project The Disrupted Society: mapping the societal effects of blockchain technology diffusion
Researcher (PI) Balazs BODO
Host Institution (HI) UNIVERSITEIT VAN AMSTERDAM
Call Details Starting Grant (StG), SH3, ERC-2017-STG
Summary Recent advances in cryptography yielded the blockchain technology, which enables a radically new and decentralized method to maintain authoritative records, without the need of trusted intermediaries. Bitcoin, a cryptocurrency blockchain application has already demonstrated that it is possible to operate a purely cryptography-based, global, distributed, decentralized, anonymous financial network, independent from central and commercial banks, regulators and the state.
The same technology is now being applied to other social domains (e.g. public registries of ownership and deeds, voting systems, the internet domain name registry). But research on the societal impact of blockchain innovation is scant, and we cannot properly assess its risks and promises. In addition, crucial knowledge is missing on how blockchain technologies can and should be regulated by law.
The BlockchainSociety project focuses on three research questions. (1) What internal factors contribute to the success of a blockchain application? (2) How does society adopt blockchain? (3) How to regulate blockchain? It breaks new ground as it (1) maps the most important blockchain projects, their governance, and assesses their disruptive potential; (2) documents and analyses the social diffusion of the technology, and builds scenarios about the potential impact of blockchain diffusion; and (3) it creates an inventory of emerging policy responses, compares and assesses policy tools in terms of efficiency and impact. The project will (1) build the conceptual and methodological bridges between information law, the study of the self-governance of technological systems via Science and Technology Studies, and the study of collective control efforts of complex socio-technological assemblages via Internet Governance studies; (2) address the most pressing blockchain-specific regulatory challenges via the analysis of emerging policies, and the development of new proposals.
Summary
Recent advances in cryptography yielded the blockchain technology, which enables a radically new and decentralized method to maintain authoritative records, without the need of trusted intermediaries. Bitcoin, a cryptocurrency blockchain application has already demonstrated that it is possible to operate a purely cryptography-based, global, distributed, decentralized, anonymous financial network, independent from central and commercial banks, regulators and the state.
The same technology is now being applied to other social domains (e.g. public registries of ownership and deeds, voting systems, the internet domain name registry). But research on the societal impact of blockchain innovation is scant, and we cannot properly assess its risks and promises. In addition, crucial knowledge is missing on how blockchain technologies can and should be regulated by law.
The BlockchainSociety project focuses on three research questions. (1) What internal factors contribute to the success of a blockchain application? (2) How does society adopt blockchain? (3) How to regulate blockchain? It breaks new ground as it (1) maps the most important blockchain projects, their governance, and assesses their disruptive potential; (2) documents and analyses the social diffusion of the technology, and builds scenarios about the potential impact of blockchain diffusion; and (3) it creates an inventory of emerging policy responses, compares and assesses policy tools in terms of efficiency and impact. The project will (1) build the conceptual and methodological bridges between information law, the study of the self-governance of technological systems via Science and Technology Studies, and the study of collective control efforts of complex socio-technological assemblages via Internet Governance studies; (2) address the most pressing blockchain-specific regulatory challenges via the analysis of emerging policies, and the development of new proposals.
Max ERC Funding
1 499 631 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym Breakborder
Project Breaking borders, Functional genetic screens of structural regulatory DNA elements
Researcher (PI) Reuven AGAMI
Host Institution (HI) STICHTING HET NEDERLANDS KANKER INSTITUUT-ANTONI VAN LEEUWENHOEK ZIEKENHUIS
Call Details Advanced Grant (AdG), LS4, ERC-2018-ADG
Summary The human genome carries genetic information in two distinct forms: Transcribed genes and regulatory DNA elements (rDEs). rDEs control the magnitude and pattern of gene expression, and are indispensable for organismal development and cellular homeostasis. Nevertheless, while large-scale functional genetic screens greatly advanced our knowledge in studying mammalian genes, such tools to study rDEs were lacking, impeding scientific progress. Interestingly, recent advance in genome editing technologies has not only expanded the available screening toolbox to examine genes, but also opened up novel opportunities in studying rDEs. We distinguish two types of rDEs: Transcriptional rDEs that recruit transcription factors to enhancers, and structural rDEs that maintain chromatin 3D structure to insulate transcriptional activities, a feature postulated to be essential for gene expression regulation by enhancers. Recently, we developed a CRISPR strategy to target enhancers. We showed its scalability and effectivity in identifying potential oncogenic and tumour-suppressive enhancers. Here, we will exploit this line of research and develop novel strategies to target structural rDEs (e.g. insulators). By setting up functional genetic screens, we will identify key players in cell proliferation, differentiation, and survival, which are related to cancer development, metastasis induction, and acquired therapy resistance. We will validate key insulators and decipher underlying mechanisms of action that control phenotypes. In a parallel approach, we will analyse whole genome sequencing datasets of cancer to identify and characterize genetic aberrations occurring in the identified regions. Altogether, the outlined research plan forms a natural extension of our successful functional approaches to study gene regulation. Our results will setup the foundation to better understand principles of chromatin architecture in gene expression regulation in development and cancer.
Summary
The human genome carries genetic information in two distinct forms: Transcribed genes and regulatory DNA elements (rDEs). rDEs control the magnitude and pattern of gene expression, and are indispensable for organismal development and cellular homeostasis. Nevertheless, while large-scale functional genetic screens greatly advanced our knowledge in studying mammalian genes, such tools to study rDEs were lacking, impeding scientific progress. Interestingly, recent advance in genome editing technologies has not only expanded the available screening toolbox to examine genes, but also opened up novel opportunities in studying rDEs. We distinguish two types of rDEs: Transcriptional rDEs that recruit transcription factors to enhancers, and structural rDEs that maintain chromatin 3D structure to insulate transcriptional activities, a feature postulated to be essential for gene expression regulation by enhancers. Recently, we developed a CRISPR strategy to target enhancers. We showed its scalability and effectivity in identifying potential oncogenic and tumour-suppressive enhancers. Here, we will exploit this line of research and develop novel strategies to target structural rDEs (e.g. insulators). By setting up functional genetic screens, we will identify key players in cell proliferation, differentiation, and survival, which are related to cancer development, metastasis induction, and acquired therapy resistance. We will validate key insulators and decipher underlying mechanisms of action that control phenotypes. In a parallel approach, we will analyse whole genome sequencing datasets of cancer to identify and characterize genetic aberrations occurring in the identified regions. Altogether, the outlined research plan forms a natural extension of our successful functional approaches to study gene regulation. Our results will setup the foundation to better understand principles of chromatin architecture in gene expression regulation in development and cancer.
Max ERC Funding
2 497 000 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym BSP
Project Belief Systems Project
Researcher (PI) Mark BRANDT
Host Institution (HI) STICHTING KATHOLIEKE UNIVERSITEIT BRABANT
Call Details Starting Grant (StG), SH3, ERC-2017-STG
Summary Belief systems research is vital for understanding democratic politics, extremism, and political decision-making. What is the basic structure of belief systems? Clear answers to this fundamental question are not forthcoming. This is due to flaws in the conceptualization of belief systems. The state-of-the-art treats a belief system as a theoretical latent variable that causes people’s responses on attitudes and values relevant to the belief system. This approach cannot assess a belief system because it cannot assess the network of connections between the beliefs–attitudes and values–that make up the system; it collapses across them and the interrelationships are lost.
The Belief Systems Project conceptualizations belief systems as systems of interconnecting attitudes and values. I conceptualize attitudes and values as interactive nodes in a network that are analysed with network analyses. With these conceptual and empirical tools, I can understand the structure and dynamics of the belief system and will be able to avoid theoretical pitfalls common in belief system assessments. This project will move belief systems research beyond the state-of-the-art in four ways by:
1. Mapping the structure of systems of attitudes and values, something that is not possible using current methods.
2. Answering classic questions about central concepts and clustering of belief systems.
3. Modeling within-person belief systems and their variations, so that I can make accurate predictions about partisan motivated reasoning.
4. Testing how external and internal pressures (e.g., feelings of threat) change the underlying structure and dynamics of belief systems.
Using survey data from around the world, longitudinal panel studies, intensive longitudinal designs, experiments, and text analyses, I will triangulate on the structure of political belief systems over time, between countries, and within individuals.
Summary
Belief systems research is vital for understanding democratic politics, extremism, and political decision-making. What is the basic structure of belief systems? Clear answers to this fundamental question are not forthcoming. This is due to flaws in the conceptualization of belief systems. The state-of-the-art treats a belief system as a theoretical latent variable that causes people’s responses on attitudes and values relevant to the belief system. This approach cannot assess a belief system because it cannot assess the network of connections between the beliefs–attitudes and values–that make up the system; it collapses across them and the interrelationships are lost.
The Belief Systems Project conceptualizations belief systems as systems of interconnecting attitudes and values. I conceptualize attitudes and values as interactive nodes in a network that are analysed with network analyses. With these conceptual and empirical tools, I can understand the structure and dynamics of the belief system and will be able to avoid theoretical pitfalls common in belief system assessments. This project will move belief systems research beyond the state-of-the-art in four ways by:
1. Mapping the structure of systems of attitudes and values, something that is not possible using current methods.
2. Answering classic questions about central concepts and clustering of belief systems.
3. Modeling within-person belief systems and their variations, so that I can make accurate predictions about partisan motivated reasoning.
4. Testing how external and internal pressures (e.g., feelings of threat) change the underlying structure and dynamics of belief systems.
Using survey data from around the world, longitudinal panel studies, intensive longitudinal designs, experiments, and text analyses, I will triangulate on the structure of political belief systems over time, between countries, and within individuals.
Max ERC Funding
1 496 944 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym CALMIRS
Project RNA-based regulation of signal transduction –
Regulation of calcineurin/NFAT signaling by microRNA-based mechanisms
Researcher (PI) Leon Johannes De Windt
Host Institution (HI) UNIVERSITEIT MAASTRICHT
Call Details Starting Grant (StG), LS4, ERC-2012-StG_20111109
Summary "Heart failure is a serious clinical disorder that represents the primary cause of hospitalization and death in Europe and the United States. There is a dire need for new paradigms and therapeutic approaches for treatment of this devastating disease. The heart responds to mechanical load and various extracellular stimuli by hypertrophic growth and sustained pathological hypertrophy is a major clinical predictor of heart failure. A variety of stress-responsive signaling pathways promote cardiac hypertrophy, but the precise mechanisms that link these pathways to cardiac disease are only beginning to be unveiled. Signal transduction is traditionally concentrated on the protein coding part of the genome, but it is now appreciated that the protein coding part of the genome only constitutes 1.5% of the genome. RNA based mechanisms may provide a more complete understanding of the fundamentals of cellular signaling. As a proof-of-principle, we focus on a principal hypertrophic signaling cascade, cardiac calcineurin/NFAT signaling. Here we will establish that microRNAs are intimately interwoven with this signaling cascade, influence signaling strength by unexpected upstream mechanisms. Secondly, we will firmly establish that microRNA target genes critically contribute to genesis of heart failure. Third, the surprising stability of circulating microRNAs has opened the possibility to develop the next generation of biomarkers and provide unexpected mechanisms how genetic information is transported between cells in multicellular organs and fascilitate inter-cellular communication. Finally, microRNA-based therapeutic silencing is remarkably powerful and offers opportunities to specifically intervene in pathological signaling as the next generation heart failure therapeutics. CALMIRS aims to mine the wealth of these RNA mechanisms to enable the development of next generation RNA based signal transduction biology, with surprising new diagnostic and therapeutic opportunities."
Summary
"Heart failure is a serious clinical disorder that represents the primary cause of hospitalization and death in Europe and the United States. There is a dire need for new paradigms and therapeutic approaches for treatment of this devastating disease. The heart responds to mechanical load and various extracellular stimuli by hypertrophic growth and sustained pathological hypertrophy is a major clinical predictor of heart failure. A variety of stress-responsive signaling pathways promote cardiac hypertrophy, but the precise mechanisms that link these pathways to cardiac disease are only beginning to be unveiled. Signal transduction is traditionally concentrated on the protein coding part of the genome, but it is now appreciated that the protein coding part of the genome only constitutes 1.5% of the genome. RNA based mechanisms may provide a more complete understanding of the fundamentals of cellular signaling. As a proof-of-principle, we focus on a principal hypertrophic signaling cascade, cardiac calcineurin/NFAT signaling. Here we will establish that microRNAs are intimately interwoven with this signaling cascade, influence signaling strength by unexpected upstream mechanisms. Secondly, we will firmly establish that microRNA target genes critically contribute to genesis of heart failure. Third, the surprising stability of circulating microRNAs has opened the possibility to develop the next generation of biomarkers and provide unexpected mechanisms how genetic information is transported between cells in multicellular organs and fascilitate inter-cellular communication. Finally, microRNA-based therapeutic silencing is remarkably powerful and offers opportunities to specifically intervene in pathological signaling as the next generation heart failure therapeutics. CALMIRS aims to mine the wealth of these RNA mechanisms to enable the development of next generation RNA based signal transduction biology, with surprising new diagnostic and therapeutic opportunities."
Max ERC Funding
1 499 528 €
Duration
Start date: 2013-02-01, End date: 2018-01-31
Project acronym CANCER INVASION
Project Deciphering and targeting the invasive nature of Diffuse Intrinsic Pontine Glioma
Researcher (PI) Anne RIOS
Host Institution (HI) PRINSES MAXIMA CENTRUM VOOR KINDERONCOLOGIE BV
Call Details Starting Grant (StG), LS4, ERC-2018-STG
Summary Introduction: The ability of a cancer cell to invade into the surrounding tissue is the main feature of malignant cancer progression. Diffuse Intrinsic Pontine Glioma (DIPG) is a paediatric high-grade brain tumour with no chance of survival due to its highly invasive nature.
Goal: By combining state-of-the-art imaging and transcriptomics, we aim to identify and target the key mechanisms driving the highly invasive growth of DIPG.
Technology advances: Two unique single cell resolution imaging techniques that we have recently developed will be implemented: Large-scale Single-cell Resolution 3D imaging (LSR-3D) that allows visualization of complete tumour specimens and intravital microscopy using a cranial imaging window that allows imaging of tumour cell behaviour in living mice. In addition, we will apply a technique of live imaging Patch-seq to perform behaviour studies together with single cell RNA profiling.
Expected results: Using a glioma murine model in which the disease is induced in neonates and a new embryonic model based on in utero electroporation, we expect to gain knowledge on the progression of DIPG in maturing brain. LSR-3D imaging on human and murine specimens will provide insight into the cellular tumour composition and its integration in the neuroglial network. With intravital imaging, we will characterize invasive cancer cell behaviour and functional connections with healthy brain cells. In combination with Patch-seq, we will identify transcriptional program(s) specific to invasive behaviour. Altogether, we expect to identify novel key players in cancer invasion and assess their potential to prevent DIPG progression.
Future perspective: With the studies proposed, we will gain fundamental insights into the cancer cell invasion mechanisms that govern DIPG which may provide new potential therapeutic target(s) for this dismal disease. Overall, the knowledge and advanced technologies obtained here will be of great value for the tumour biology field.
Summary
Introduction: The ability of a cancer cell to invade into the surrounding tissue is the main feature of malignant cancer progression. Diffuse Intrinsic Pontine Glioma (DIPG) is a paediatric high-grade brain tumour with no chance of survival due to its highly invasive nature.
Goal: By combining state-of-the-art imaging and transcriptomics, we aim to identify and target the key mechanisms driving the highly invasive growth of DIPG.
Technology advances: Two unique single cell resolution imaging techniques that we have recently developed will be implemented: Large-scale Single-cell Resolution 3D imaging (LSR-3D) that allows visualization of complete tumour specimens and intravital microscopy using a cranial imaging window that allows imaging of tumour cell behaviour in living mice. In addition, we will apply a technique of live imaging Patch-seq to perform behaviour studies together with single cell RNA profiling.
Expected results: Using a glioma murine model in which the disease is induced in neonates and a new embryonic model based on in utero electroporation, we expect to gain knowledge on the progression of DIPG in maturing brain. LSR-3D imaging on human and murine specimens will provide insight into the cellular tumour composition and its integration in the neuroglial network. With intravital imaging, we will characterize invasive cancer cell behaviour and functional connections with healthy brain cells. In combination with Patch-seq, we will identify transcriptional program(s) specific to invasive behaviour. Altogether, we expect to identify novel key players in cancer invasion and assess their potential to prevent DIPG progression.
Future perspective: With the studies proposed, we will gain fundamental insights into the cancer cell invasion mechanisms that govern DIPG which may provide new potential therapeutic target(s) for this dismal disease. Overall, the knowledge and advanced technologies obtained here will be of great value for the tumour biology field.
Max ERC Funding
1 500 000 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym Cancer-Recurrence
Project Tumor cell death supports recurrence of cancer
Researcher (PI) Jacobus Emiel van Rheenen
Host Institution (HI) STICHTING HET NEDERLANDS KANKER INSTITUUT-ANTONI VAN LEEUWENHOEK ZIEKENHUIS
Call Details Consolidator Grant (CoG), LS4, ERC-2014-CoG
Summary Introduction: Current anti-cancer treatments are often inefficient, while many patients initially benefit from anti-cancer drugs eventually experience relapse of resistant tumors throughout the body. Current clinical strategies mainly aim at inducing tumor cell death, but this induction may have unintentional and unwanted side effects on surviving tumor cells.
Preliminary data: We show that after chemotherapy-induced initial regression, PyMT mammary tumors reappear. During regression, we observe an increased number of cells that have undergone epithelial-mesenchymal transition (EMT) and become migratory. We show that migration can be induced upon uptake of extracellular vesicles (e.g. apoptotic bodies). Our findings suggest that EMT is induced upon chemotherapy, through e.g. EV uptake, potentially leading to migration and growth of surviving cells.
Hypothesis and main aim: Based on preliminary data, we hypothesize that tumor cell death induces migration and growth of the surviving tumor cells. We aim to identify the key cell types and mechanisms that mediate this effect, and establish whether interference with these cells and mechanisms can reduce recurrence of tumors after chemotherapy.
Approach: We have developed unique intravital imaging tools and genetically engineered fluorescent mice to visualize and characterize if and how dying tumor cells can affect surrounding surviving tumor and stromal cells. We will test whether dying tumor cells can influence the growth, migration, dissemination and metastasis of surviving tumor cells directly or indirectly through stromal cells. We will identify potential targets to block the influence of the dying tumor cells, and test whether this blockade inhibits the unintended side-effects of tumor cell death.
Conclusion: With the studies proposed in this grant, we will gain fundamental insights on how induction of tumor cell death, the universal aim of therapy, could play a role in growth and spread of surviving tumor cells.
Summary
Introduction: Current anti-cancer treatments are often inefficient, while many patients initially benefit from anti-cancer drugs eventually experience relapse of resistant tumors throughout the body. Current clinical strategies mainly aim at inducing tumor cell death, but this induction may have unintentional and unwanted side effects on surviving tumor cells.
Preliminary data: We show that after chemotherapy-induced initial regression, PyMT mammary tumors reappear. During regression, we observe an increased number of cells that have undergone epithelial-mesenchymal transition (EMT) and become migratory. We show that migration can be induced upon uptake of extracellular vesicles (e.g. apoptotic bodies). Our findings suggest that EMT is induced upon chemotherapy, through e.g. EV uptake, potentially leading to migration and growth of surviving cells.
Hypothesis and main aim: Based on preliminary data, we hypothesize that tumor cell death induces migration and growth of the surviving tumor cells. We aim to identify the key cell types and mechanisms that mediate this effect, and establish whether interference with these cells and mechanisms can reduce recurrence of tumors after chemotherapy.
Approach: We have developed unique intravital imaging tools and genetically engineered fluorescent mice to visualize and characterize if and how dying tumor cells can affect surrounding surviving tumor and stromal cells. We will test whether dying tumor cells can influence the growth, migration, dissemination and metastasis of surviving tumor cells directly or indirectly through stromal cells. We will identify potential targets to block the influence of the dying tumor cells, and test whether this blockade inhibits the unintended side-effects of tumor cell death.
Conclusion: With the studies proposed in this grant, we will gain fundamental insights on how induction of tumor cell death, the universal aim of therapy, could play a role in growth and spread of surviving tumor cells.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym CAPABLE
Project Enhancing Capabilities? Rethinking Work-life Policies and their Impact from a New Perspective
Researcher (PI) Mara YERKES
Host Institution (HI) UNIVERSITEIT UTRECHT
Call Details Consolidator Grant (CoG), SH3, ERC-2017-COG
Summary We have witnessed significant work-life policy advancements designed to help men and women more equally combine employment with other spheres of life in recent decades, yet gender inequality persists. Improving gender equality in work-life balance is therefore high on policy agendas throughout Europe. Decades of research in this area have produced key insights but work-family theories fail to sufficiently explain the tenacity of this inequality. Earlier applications of a capabilities approach to work-life balance offer promising inroads, yet the importance of community remains absent. The CAPABLE project will generate fundamentally new knowledge on how work-life balance policies impact an individual’s capability to achieve this balance in Europe by incorporating the understudied dimension of community.
Capabilities reflect what individuals are effectively able to achieve. CAPABLE asks: To what extent do work-life balance policies enhance men and women’s capabilities to achieve work-life balance? To answer this question, we will develop and apply complex models derived from Sen’s capability approach to analyse: 1. the availability, accessibility and design of work-family policies; 2. what these policies mean for men and women’s capabilities to achieve work-life balance based on their embeddedness in individual, community and social contexts; 3. whether work-life policies enhance individual wellbeing; and 4. what policy tools are needed for developing sustainable work-life balance policies that enhance gender equal work-life capabilities. CAPABLE will progress scientific and policy frontiers using innovative, mixed-methods approaches at multiple policy levels. The conceptual clarity and empirical advancements provided will significantly expand our understanding of work-life policies in relation to individual capabilities. Furthermore, it will produce key insights into how sustainable work-life policies addressing gender inequality in work-life can be developed.
Summary
We have witnessed significant work-life policy advancements designed to help men and women more equally combine employment with other spheres of life in recent decades, yet gender inequality persists. Improving gender equality in work-life balance is therefore high on policy agendas throughout Europe. Decades of research in this area have produced key insights but work-family theories fail to sufficiently explain the tenacity of this inequality. Earlier applications of a capabilities approach to work-life balance offer promising inroads, yet the importance of community remains absent. The CAPABLE project will generate fundamentally new knowledge on how work-life balance policies impact an individual’s capability to achieve this balance in Europe by incorporating the understudied dimension of community.
Capabilities reflect what individuals are effectively able to achieve. CAPABLE asks: To what extent do work-life balance policies enhance men and women’s capabilities to achieve work-life balance? To answer this question, we will develop and apply complex models derived from Sen’s capability approach to analyse: 1. the availability, accessibility and design of work-family policies; 2. what these policies mean for men and women’s capabilities to achieve work-life balance based on their embeddedness in individual, community and social contexts; 3. whether work-life policies enhance individual wellbeing; and 4. what policy tools are needed for developing sustainable work-life balance policies that enhance gender equal work-life capabilities. CAPABLE will progress scientific and policy frontiers using innovative, mixed-methods approaches at multiple policy levels. The conceptual clarity and empirical advancements provided will significantly expand our understanding of work-life policies in relation to individual capabilities. Furthermore, it will produce key insights into how sustainable work-life policies addressing gender inequality in work-life can be developed.
Max ERC Funding
1 999 748 €
Duration
Start date: 2018-12-01, End date: 2023-11-30