Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : InterAge (Horizon 2020, appel 2020, Advanced grants)
Domaine scientifique : Life Science
Panel : Environmental Biology, Ecology and Evolution
Entité participante : University of Glasgow — Pays : Royaume-Uni — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2499955.0 €

Ageing research has primarily focused on somatic deterioration of individuals during their lifetimes; intergenerational effects have been little studied. In this project I address this gap, in the process bringing together currently discrete lines of research from evolutionary ecology and reproductive biology: 1) A large body of research in population biology shows that there can be a negative relationship between parental age at breeding and offspring lifespan. It has been postulated that the magnitude of the effect is exacerbated when offspring experience harsher conditions, particularly in early life. The causes and time-course of this so-called ‘Lansing effect’ are unclear - is it due to higher lifetime frailty of offspring, a faster ageing rate, or both, and how is it affected by the environmental conditions that they face? 2) Telomere loss and mitochondrial dysfunction in somatic cells are two recognised, interconnected, ‘Hallmarks of Ageing’ linked to individual performance and longevity. Experimental work, mostly in fertility research, has shown that the eggs of older mothers frequently have reduced mitochondrial function and shorter average telomere lengths. The life-course outcome of this gametic impairment for the offspring has not been studied. Using the zebra finch, this challenging, high-gain, project tests for the first time the hypothesis that the negative effect of maternal age on offspring performance and ageing rate is due to lifelong, intertwined changes in offspring mitochondrial function and telomere length, and is exacerbated in offspring experiencing increased early life stress. Knowing why, when, and under what conditions maternal age has a negative effect on offspring health and longevity has important implications for our understanding of ageing, life history evolution, reproductive scheduling and mate choice; it also has profound consequences for more applied fields such as reproductive medicine and conservation biology.

Mots-clés : lifespan,maternal effect,lansing effect,stress exposure,telomere,mitochondria
Projet ERC : INCANA (Horizon 2020, appel 2014, Consolidator grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Synthetic Chemistry and Materials
Entité participante : Osnabrück University — Pays : Allemagne — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1918000.0 €

Aim of the proposed project is a) development and establishment of insect-inspired capillary nanostamping (IICN) as next-generation contact nanolithography, b) replacing state-of-the-art lithographic and synthesis protocols requiring use of sacrificial templates or time-consuming self-assembly steps by IICN and c) significant IICN-driven acceleration and upscaling of the production of extended nanostructured systems. To meet these aims, IICN stamp design will be inspired by insect feet depositing small secretion droplets through arrays of hairy contact elements on counterpart surfaces. Monolithic IICN stamps extending cm2 will consist of spongy ink-filled substrates connected to extended arrays of spongy nanoscale dispensing elements with diameters in the 100 nm range (density up to ~130 dispensing elements per square micron). Ink supplied through the spongy pore systems forms capillary bridges between each dispensing element and counterpart surfaces, thus enabling massively parallel capillary bridge-guided nanorod synthesis. Capillary bridge rupture during stamp retraction leads to massively parallel lithographic deposition of ink nanodroplet arrays (target nanodroplet volume: a few 10 zeptolitres). IICN model applications include production of a) ultrathin nanoporous membranes for separation; b) ordered silicon nanostructures by IICN-supported metal-assisted etching; c) nearly-ergodic arrays of encapsulated liquid nanocontainers for massively parallel ensemble nanochemistry or ensemble tracing of single molecules; d) nearly-ergodic biochips for massively parallel analyte detection with single-molecule resolution. As example for substitution of time-consuming self-assembly in nanomaterial synthesis by IICN, IICN-accelerated production of ordered nanoporous alumina will be studied. To pave the way for upscaling and potential commercialization of IICN, high-throughput IICN devices for automated operation in batch and continuous roller modes will be constructed.

Mots-clés : polymer nanorod arrays,block copolymers
Projet ERC : AIR-NB (Horizon 2020, appel 2017, Advanced grants)
Domaine scientifique : Life Science
Panel : Prevention, Diagnosis and Treatment of Human Diseases
Entité participante : Spanish National Research Council — Pays : Espagne — Rôle : Partner
Acronyme de l'entité : CSIC
Type d'entité : Recherche
Financement ERC de l'entité : 142000.0 €

Air pollution is the main urban-related environmental hazard. It appears to affect brain development, although current evidence is inadequate given the lack of studies during the most vulnerable stages of brain development and the lack of brain anatomical structure and regional connectivity data underlying these effects. Of particular interest is the prenatal period, when brain structures are forming and growing, and when the effect of in utero exposure to environmental factors may cause permanent brain injury. I and others have conducted studies focused on effects during school age which could be less profound. I postulate that: pre-natal exposure to urban air pollution during pregnancy impairs foetal and postnatal brain development, mainly by affecting myelination; these effects are at least partially mediated by translocation of airborne particulate matter to the placenta and by placental dysfunction; and prenatal exposure to air pollution impairs post-natal brain development independently of urban context and post-natal exposure to air pollution. I aim to evaluate the effect of pre-natal exposure to urban air pollution on pre- and post-natal brain structure and function by following 900 pregnant women and their neonates with contrasting levels of pre-natal exposure to air pollutants by: i) establishing a new pregnancy cohort and evaluating brain imaging (pre-natal and neo-natal brain structure, connectivity and function), and post-natal motor and cognitive development; ii) measuring total personal exposure and inhaled dose of air pollutants during specific time-windows of gestation, noise, paternal stress and other stressors, using personal samplers and sensors; iii) detecting nanoparticles in placenta and its vascular function; iv) modelling mathematical causality and mediation, including a replication study in an external cohort. The expected results will create an impulse to implement policy interventions that genuinely protect the health of urban citizens.

Mots-clés : air pollution,brain,connectome,cognition,fetal neurosonography,infancy,neonatal mri,noise,motor,particles,placenta,pregnancy
Projet ERC : ACCORD (Horizon 2020, appel 2014, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Computer science and informatics
Entité participante : University of Oxford — Pays : Royaume-Uni — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1395933.0 €

Algorithms for Complex Collective Decisions on Structured Domains. The aim of this proposal is to substantially advance the field of Computational Social Choice, by developing new tools and methodologies that can be used for making complex group decisions in rich and structured environments. We consider settings where each member of a decision-making body has preferences over a finite set of alternatives, and the goal is to synthesise a collective preference over these alternatives, which may take the form of a partial order over the set of alternatives with a predefined structure: examples include selecting a fixed-size set of alternatives, a ranking of the alternatives, a winner and up to two runner-ups, etc. We will formulate desiderata that apply to such preference aggregation procedures, design specific procedures that satisfy as many of these desiderata as possible, and develop efficient algorithms for computing them. As the latter step may be infeasible on general preference domains, we will focus on identifying the least restrictive domains that enable efficient computation, and use real-life preference data to verify whether the associated restrictions are likely to be satisfied in realistic preference aggregation scenarios. Also, we will determine whether our preference aggregation procedures are computationally resistant to malicious behavior. To lower the cognitive burden on the decision-makers, we will extend our procedures to accept partial rankings as inputs. Finally, to further contribute towards bridging the gap between theory and practice of collective decision making, we will provide open-source software implementations of our procedures, and reach out to the potential users to obtain feedback on their practical applicability.

Mots-clés : computational social choice
Projet ERC : 3DMOSHBOND (Horizon 2020, appel 2017, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Condensed matter physics
Entité participante : University of Nottingham — Pays : Royaume-Uni — Rôle : Partner
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 0.0 €

All properties of matter are ultimately governed by the forces between single atoms, but our knowledge of interatomic, and intermolecular, potentials is often derived indirectly. In 3DMOSHBOND, I outline a program of work designed to create a paradigm shift in the direct measurement of complex interatomic potentials via a fundamental reimagining of how atomic resolution imaging, and force measurement, techniques are applied. To provide a clear proof of principle demonstration of the power of this concept, I propose to map the strength, shape and extent of single hydrogen bonding (H-bonding) interactions in 3D with sub-Angstrom precision. H-bonding is a key component governing intermolecular interactions, particularly for biologically important molecules. Despite its critical importance, H-bonding is relatively poorly understood, and the IUPAC definition of the H-bond was changed as recently as 2011- highlighting the relevance of a new means to engage with these fundamental interactions. Hitherto unprecedented resolution and accuracy will be achieved via a creation of a novel layer of vertically oriented H-bonding molecules, functionalisation of the tip of a scanning probe microscope with a single complementary H-bonding molecule, and by complete characterisation of the position of all atoms in the junction. This will place two H-bonding groups “end on” and map the extent, and magnitude, of the H-bond with sub-Angstrom precision for a variety of systems. This investigation of the H-bond will present us with an unparalleled level of information regarding its properties. Experimental results will be compared with ab initio density functional theory (DFT) simulations, to investigate the extent to which state-of-the-art simulations are able to reproduce the behaviour of the H-bonding interaction. The project will create a new generalised probe for the study of single atomic and molecular interactions.
Projet ERC : AMPLify (Horizon 2020, appel 2014, Advanced grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Computer science and informatics
Entité participante : Technische Universität Berlin — Pays : Allemagne — Rôle : PI
Acronyme de l'entité : TUB
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2499681.0 €

Allocation Made PracticaL The AMPLify project will lay the foundations of a new field, computational behavioural game theory that brings a computational perspective, computational implementation, and behavioural insights to game theory. These foundations will be laid by tackling a pressing problem facing society today: the efficient and fair allocation of resources and costs. Research in allocation has previously considered simple, abstract models like cake cutting. We propose to develop richer models that capture important new features like asynchronicity which occur in many markets being developed in our highly connected and online world. The mechanisms currently used to allocate resources and costs are limited to these simple, abstract models and also do not take into account how people actually behave in practice. We will therefore design new mechanisms for these richer allocation problems that exploit insights gained from behavioural game theory like loss aversion. We will also tackle the complexity of these rich models and mechanisms with computational tools. Finally, we will use computation to increase both the efficiency and fairness of allocations. As a result, we will be able to do more with fewer resources and greater fairness. Our initial case studies in resource and cost allocation demonstrate that we can improve efficiency greatly, offering one company alone savings of up to 10% (which is worth tens of millions of dollars every year). We predict even greater impact with the more sophisticated mechanisms to be developed during the course of this project.

Mots-clés : social choice,allocation,behavioural game theory
Projet ERC : LiLI (Horizon 2020, appel 2019, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Social World and Its Diversity
Entité participante : Ghent University — Pays : Belgique — Rôle : PI
Acronyme de l'entité : UGent
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1486000.0 €

Almost half a century ago, Simone de Beauvoir (1970) denounced what she called the ‘conspiracy of silence’ in public and scholarly debates about women growing older. Little has changed since then. In spite of the expanding number and proportion of older women in the population and the changing cultural norms regarding sexuality, older women are still often overlooked in research, and their sexuality in particular is still a taboo. Older women are supposed to become asexual and when their sexuality is considered, it is interpreted within a medicalized and phallocentric framework that starts from young adult standards. So far, social sciences and humanities have failed to develop a viable alternative to this line of thinking. The proposed project aims to rectify this significant gap in research and break the silence around older women and sex. A multi-disciplinary team of scholars with expertise in anthropology, social geography, cultural studies and feminist philosophy will collaborate and tackle challenging research questions in order to acquire a fundamentally new, affirmative understanding of women’s later life sexuality. A radical multi-method ethnographic research methodology will be developed, (1) based on long-term participant observation in various settings and (2) with a specific focus on ‘unruly’ sexual strategies of older women across different social categories. By uncovering counter-hegemonic knowledge of older women—knowledge that usually stays under the radar of academic attention—the project has great potential to revolutionize how we look at women, old age, and sex. A shift in thinking is needed because the prevalent conceptualizations are blatantly oppressive for older women. Moreover, the project’s methodological-theoretical design that brings older women’s subversive sexual strategies to the forefront of research has also the potential to open the way for radical changes in feminist theorizations of intersectional power, sexual desire and ageing.

Mots-clés : gender,sexuality,embodiment,ageing,feminist ethnography,intersectionality
Projet ERC : SCIMAP (Horizon 2020, appel 2020, Starting grants)
Domaine scientifique : Life Science
Panel : Immunity, Infection and Immunotherapy
Entité participante : Technical University of Munich — Pays : Allemagne — Rôle : PI
Acronyme de l'entité : TUM
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1499236.0 €

Almost two decades ago it was first proposed that immunological memory may depend on stem cell-like mechanisms, enabling individual antigen-specific T and B cells to generate progeny that contains short-lived effectors as well as long-lived memory cells. To test this capacity, I have in the past developed a stringent set of single cell-based approaches, which allowed me to show that single CD8+ and CD4+ T central memory cells harbour the capacity to self-renew and generate a diverse offspring of effector cells, but also, show immense variation in executing these essential functions upon activation. Thus, even physiological immune responses to infection appear not to harness the full protective potential available in every antigen-specific lymphocyte. To better understand the regulatory principles underlying this single-cell derived variation, in the context of classical T-cell memory, T-cell exhaustion and memory-like NK cell responses, I developed novel fate mapping technologies such as ‘single-cell colour barcoding’ and ‘single-cell RNA barcoding’. I will now integrate these approaches with single-cell RNA sequencing, genetic reporter systems and continuous live-cell imaging, to answer three fundamental questions in immunobiology: 1) Do exhausted T-cell responses to chronic infection and adaptive-like immune responses of NK cells also rely on the stem cell-like potential of individual cells? 2) Do single-cell-derived T and NK cell families enter the memory or memory-like exhausted compartment on a direct road or through de-differentiation, after passing through an early effector state? And 3) how is the development of these T and NK cell families influenced by their founding members’ fundamental cellular properties, such as asymmetric cell-division, quorum sensing and cell-cycle speed? Answering these questions will help to identify new molecular targets and therapeutic strategies to enhance or reinvigorate protective immunity against infection or malignancy.

Mots-clés : t cell memory,nk cell memory,t cell exhaustion,stemness,single cell fate mapping,single cell rna sequencing,rna velocity,lcmv,mcmv
Projet ERC : NeMatrix (Horizon 2020, appel 2016, Proof of concept grants)
Entité participante : Board of the Swiss Federal Institutes of Technology — Pays : Suisse — Rôle : PI
Acronyme de l'entité : ETH Zurich
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 150000.0 €

Alternative model organisms, such as worms or flies, are getting increasingly popular in the drug discovery field, since they are proving to be suitable for replacing mammals for several aspects of the screening tests in the pre-clinical phase. In this context, one of the most interesting models is a roundworm species, named Caenorhabditis elegans. Its microscopic size, however, hinders its actual use in the field, since the protocols for its maintenance and study still completely rely on manual handling/observation techniques, definitely lacking any reproducibility and throughput standards. The NeMatrix project proposes to fill this technological gap, by developing a microfluidic platform for fully automated culture and analysis of C. elegans –and, more in general, roundworms-, tailored for drug screening applications. Specifically, starting from a simple worm suspension, our envisioned prototype will employ a set of microfluidic-based automated operations to: (i) gently distribute nematodes within separate microcompartments; (ii) feed them at desired food rate, time and concentration; (iii) expose them to drug tests at desired rate, time and drug concentrations; (iv) continuously monitor multiple phenotypes over the whole worm population in the device; (v) provide real-time data analysis and store/exploit results in a “big data” approach. This project would provide one of the first examples of next-generation technologies for whole-organism drug screening, with the potential of paving the way for the widespread use of worms and other alternative model organisms for the replacement, reduction and refinement of animal testing in biomedical research and pharmaceutical industries. The project will be held in close collaboration with key industrial partners in the field, in the framework of a planned startup company, which currently is on the way of creation.

Mots-clés : microfluidics,microfabrication,nematodes,caenorhabditis elegans,drug discovery,high throughput screening
Projet ERC : NOVOFLAT (Horizon 2020, appel 2019, Advanced grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Synthetic Chemistry and Materials
Entité participante : Institut Català d'Investigació Química — Pays : Espagne — Rôle : PI
Acronyme de l'entité : ICIQ;ICIQ-CERCA
Type d'entité : Recherche
Financement ERC de l'entité : 2500000.0 €

Although cross-coupling reactions have become one of the pillars of modern chemical synthesis, the ability to forge sp3–sp3 bonds with improved flexibility, practicality, predictable site-selectivity, preparative utility, stereocontrol and with nearly zero-generation of waste has eluded chemists for decades, remaining a major challenge and an uncharted cartography in catalytic endeavours. The successful realization of this goal will represent a paradigm shift from the standard logic of organic synthesis in both basic and applied research, as increasing the number of sp3-hybridized carbon atoms has become a necessary goal in the drug discovery pipeline. NOVOFLAT offers a pioneering approach for forging sp3–sp3 linkages via a triple catalytic cascade that enables an unprecedented intramolecular decarboxylation of simple and available carboxylic acid esters with CO2 as the sole byproduct. As ester derivatives simply derive from naturally-occurring carboxylic acids and alcohols, this proposal will allow to rapidly access sp3–sp3 linkages with different electronic and steric requirements, thus providing an invaluable opportunity to streamline the discovery of important architectures with applications across the molecular sciences. Preliminary results demonstrate the feasibility to provide “a la carte” predictable tool that chemists could use to control the site where the sp3–sp3 bond-formation takes place in both aliphatic and cyclic frameworks, even at remote sp3 sites. In addition, our general principle offers an unrecognized opportunity to simultaneously construct sp3–sp3 linkages and control the stereochemistry at remote sp3 sites. In this manner, NOVOFLAT will not only provide new dogmas in retrosynthetic analysis by fundamentally altering the way sp3–sp3 bonds are made, but also open new vistas in “chain-walking” reactions, as the incorporation of chirality throughout the alkyl side-chain constitutes “terra incognita” in these technologies.

Mots-clés : c c bond forming reactions