Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : NEUROTEMPO (Horizon 2020, appel 2020, Advanced grants)
Domaine scientifique : Life Science
Panel : Neuroscience and Disorders of the Nervous System
Entité participante : Vlaams Instituut voor Biotechnologie — Pays : Belgique — Rôle : PI
Acronyme de l'entité : VIB
Type d'entité : Recherche
Financement ERC de l'entité : 2499496.88 €

Human brain development is characterized by a prolonged timing of maturation of cortical neurons compared with other species. The resulting ‘neoteny’ may constitute a key evolutionary mechanism enabling the exceptional gain of complexity of human brains compared to other animals. However the molecular mechanisms underlying human neuronal neoteny, and its impact on circuit function, are largely unknown. We previously discovered that human cortical neurons transplanted in the mouse cortex develop along their species-specific timeline, pointing to cell-intrinsic mechanisms as major players in the timing of neuronal development. We also recently found that mitochondria dynamics and function regulate neurogenesis through direct impact on chromatin remodeling, and that they display striking species-specific differences during cortical neuron maturation. These data lead us to propose that mitochondria and metabolism act as key species-specific modifiers on the timing of cortical neuron maturation, through epigenetic effects on the underlying gene regulatory network, ultimately leading to human neural neoteny. To test this radical hypothesis we will identify which molecular features of mitochondria and metabolism differ during cortical neuron maturation of mouse, macaque and human species. Then we will test the impact of the species-specific molecular features on neuronal maturation timing, using an innovative screening platform for human cortical neuron maturation. Factors that accelerate neuronal maturation will be studied by focusing on their effect on chromatin remodeling. Finally we will determine the impact of manipulating neuronal maturation timing at the circuit level, using a new model of in vivo human neuron plasticity. This project will shed new light on how developmental timing uniquely controls human brain structure and function, with far-reaching implications for our understanding of neural evolution, plasticity and disease.

Mots-clés : human brain evolution,temporal patterning,allochrony,synaptogenesis,morphogenesis,metabolism and development,mitochondria,epigenetic,transcriptomics,genetic screen,cerebral cortex
Projet ERC : MicroAdiPSChip (Horizon 2020, appel 2017, Consolidator grants)
Domaine scientifique : Life Science
Panel : Prevention, Diagnosis and Treatment of Human Diseases
Entité participante : Helmholtz Zentrum München — Pays : Allemagne — Rôle : PI
Acronyme de l'entité : HMGU
Type d'entité : Recherche
Financement ERC de l'entité : 1775000.0 €

Human fat tissue has evolved to serve as a major energy reserve. An imbalance between energy intake and expenditure leads to an expansion of adipose tissue. Maintenance of this energy imbalance over longer times leads to obesity and metabolic disorders such as type 2 diabetes, for which clinical cures are not yet available. Adipocytes are the main cell type within the adipose tissue and can be divided into white, beige, and brown subtypes. White adipocytes store and mobilize energy, whereas beige and brown adipocytes store and burn energy during cold exposure to generate heat. An attractive strategy to restore the energy imbalance and treat obesity is to activate or increase the number of beige adipocytes in white adipose tissue. The main research obstacles affecting our ability to induce beige adipocytes is our lack of laboratory test systems recapitulating the microenvironmental conditions of the adipose tissue. Therefore, this research project aims to develop adipose tissue models outside organisms in sizes of micrometers for studying the differentiation of human inducible pluripotent stem cells (hiPSCs) into mature adipocytes. For assembly of the micro-fat tissues, we combine microfluidic and bioprinting technologies. In particular, the integration of micro-fat tissue on microfluidic chip platforms will be exploited to dynamically control the chemical, cell architectural, and mechanical microenvironment of hiPSCs incorporated in the micro-fat tissue. With novel single-cell-resolution in situ detection systems, we will aim to reveal, which microenvironmental stem cell niche factors are required to differentiate hiPSCs into metabolically active beige adipocytes. The acquired experimental data will help to mechanistically understand the role of natural stem cell niches, determine how to simulate them under laboratory conditions and finally provide patient-specific, clinically relevant information for developing new cell-based treatments for obesity.

Mots-clés : microfluidics,in situ bioanalytics,3d cell culture model
Projet ERC : SYNCOG (Horizon 2020, appel 2017, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : University of London — Pays : Royaume-Uni — Rôle : Partner
Acronyme de l'entité : U. London
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 11140.0 €

Human language is incredibly diverse: languages differ at all levels of linguistic structure from phonetics to syntax. But behind these differences there are intriguing similarities, patterns that reappear across many languages, and others that rarely crop up. A foundational goal of linguistics is to distil a set of principles explaining the shared features of our languages by appealing to properties of the human cognitive and linguistic system. While many such principles have been formulated, throughout the history of the field, little direct behavioural evidence has been offered for them. Indeed, the connection between common features of language systems and cognition is controversial in the broader community of scientists studying language from different perspectives. Longstanding debates center around whether such constraints exist, what features of cognition they might reflect, and if they are specific to language. Recent methodological innovations have carved out a path for progress by allowing linguists to investigate hypothesized constraints on language directly, using laboratory language learning experiments. In phonology, this has led to game-changing advances–expanding the empirical data available, and leading to new theories and models of the phonological grammar and how it is learned. The overarching goal of this project is to jumpstart a parallel transformation in syntax. I will undertake the first large scale experimental investigation of cognitive constraints underlying syntax. The rich body of behavioral data generated will provide evidence for theoretically significant constraints, the cognitive factors they are grounded in, the cognitive domains they apply in, and how they change over development. The data will be used to develop state-of-the-art computational models, galvanizing progress towards a unified account of how cognition shapes core aspects of the world's languages.

Mots-clés : cognitive science,cognitive biases,syntax,morphology
Projet ERC : ELC (Horizon 2020, appel 2015, Consolidator grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : University of Edinburgh — Pays : Royaume-Uni — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1985570.0 €

Human language is unique among the communication systems of the natural world, providing our species with an incredibly flexible and powerful open-ended system of communication. This expressive power is underpinned by linguistic structure: we construct complex meaning-bearing utterances according to a set of rules and regularities which are conventionalised among speakers of a language. In my previous work I have shown that these fundamental structural features of language can be explained as a consequence of cultural evolution: structure evolves gradually as language is passed down through generations via learning and shaped by its repeated use for communication, in a process known as iterated learning. However, existing modelling and experimental treatments of iterated learning are limited in that they focus on the evolution of simple languages which permit expression of a relatively small and fixed set of concepts. Real human languages are enormously complex, both in the expressive power they afford and the rich and complex set of structural devices they provide for conveying meaning. In this project I seek to address this major outstanding question in evolutionary linguistics: why is language complex? I will tackle this daunting question by exploring two subsidiary questions: when and how does linguistic complexity facilitate acquisition, and how do expressive power and linguistic complexity evolve as a result of language transmission and use? Answering these questions will require an ambitious programme of modelling and experimental work, covering acquisition in individual adults and children, language use in interaction, and language evolution in populations. I seek to substantially advance our understanding of the cultural evolution of language by exploring how learning, expressive pressures on language use, and social complexity drive the evolution of linguistic complexity.

Mots-clés : language learning,language evolution,linguistic complexity,iterated learning,cultural evolution
Projet ERC : SOCIALEYES (Horizon 2020, appel 2019, Advanced grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : Centre national de la recherche scientifique — Pays : France — Rôle : PI
Acronyme de l'entité : CNRS
Type d'entité : Recherche
Financement ERC de l'entité : 2377325.0 €

Human thoughts have no mass and remain definitely hidden from others’ view. Still, we are remarkable at predicting others’ mental states from observable phenomena. Sensitivity to eye cues enables us, for example, to detect the presence of other minds, assess theirs content and interact with them through eye contact, gaze following and joint attention. Emerging in early infancy, these competences are precursor to later mentalizing abilities and are known to depend upon a set of cerebral structures overlapping with the theory of mind network, under the regulatory influence of neuropeptides such as oxytocin. While the existence of theory of mind in monkeys and apes is a matter of debate, these animals attend to eyes and understand what others see. Non-human primates thus offer a valuable perspective on the evolutionary path that shaped our brain to use eyes as a social interaction device and as a window into other’s mind. SOCIALEYES will aim to test the hypothesis that “eye reading” is rooted in conserved visual specializations, shared with functions like threat and danger detection. It will emphasize the role of a subcortical network that includes the hypothalamic oxytocin system, superior colliculus and amygdala. The links between eye processing, joint attention and knowledge states attribution (WP1) will be investigated in socially-interacting monkey dyads. The contribution of the colliculus and amygdala to joint attention mechanisms will be compared to that of core mentalizing regions of the cortex (WP2) using single neuron recordings. The functional role of oxytocin signaling within this network on joint attention and eye reading behavior (WP3) will be evaluated with site- and cell type-specific reversible inactivation procedures. Finally, the relevance of joint attention and eye reading abilities to natural social interactions (WP4) will be tested using novel ethological and computer vision-based behavior recognition methods in freely behaving monkeys.

Mots-clés : social cognition,gaze following,mind reading,oxytocin,primate
Projet ERC : ReSEED (Horizon 2020, appel 2017, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The study of the human past
Entité participante : University of Lisbon — Pays : Portugal — Rôle : Partner
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 141392.0 €

Humanity is facing a huge challenge: how to feed a growing population in a sustainable way? Scientists from different fields are looking for answers and ReSEED aims to assist such endeavours. Solutions depend on one key issue: seeds. We can have appropriate soil, climate or technologies, however without proper seeds it is impossible to guarantee food production. As historiography has given little attention to the role of seed varieties, there are many gaps in scientific knowledge. I argue that long-term historical analysis is critical to provide the best answers to current questions. ReSEED examines the changing connections between seeds, environment and human action, the triangle that has always underpinned agriculture, since the 18th century. The main objectives are as follows. 1) To map geographical changes in local crop distribution, paying attention to the new seeds made available by Columbian Exchange. 2) To outline which were the social networks supporting the circulation and cultivation of edible seed varieties, and at later date, checking how they articulated with state services. 3) To identify human factors that contribute to reducing, increasing, maintaining or restoring regional agro-biodiversity. 4) To assess the impacts of national and international decisions on local management of the triangle, mainly on farmers’ innovation. 5) To re-examine the long-term dynamics behind various European agricultural modernization itineraries. Based on innovative interdisciplinary and transdisciplinary methodologies, I build robust empirical research on the case of Iberian Peninsula in connection to empires, which allows thorough comparisons with other regions in Europe and beyond. ReSEED promotes strategies for win-win environmental/society outcomes, linking edible seeds to places and to innovations needed for food production. This is crucial to better understand how historical experiences can contribute to create solutions that ensure sustainable futures.

Mots-clés : food production,new seeds,historiography,regional agro biodiversity,sustainable futures
Projet ERC : MOF-reactors (Horizon 2020, appel 2018, Consolidator grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Synthetic Chemistry and Materials
Entité participante : University of Valencia — Pays : Espagne — Rôle : PI
Acronyme de l'entité : UV
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1886000.0 €

Humankind advancement is connected to the use and development of metal forms. Recent works have unveiled exceptional properties –such as luminescence, biocompatibility, antitumoral activity or a superlative catalytic activity– for small aggregations of metal atoms, so–called sub–nanometer metal clusters (SNMCs). Despite this importance, the gram-scale synthesis of structurally and electronically well–defined SNMCs is still far from being a reality. The present proposal situates at the centre of such weakness and aims at making a breakthrough step-change on the use of metal-organic frameworks (MOFs) as chemical reactors for the in–situ synthesis of stable ligand-free SNMCs with such unique properties. This challenging synthetic strategy, which is assisted by striking published and inedited preliminary results, has solid foundations. Firstly, the design and large-scale preparation of cheap and novel families of highly robust and crystalline MOFs with tailor-made functional channels to be used as chemical reactors. Secondly, the application of solid-state post-synthetic methods to drive the multigram-scale preparation of unique ligand-free homo- and heterometallic SNMCs, which are, in the best-case scenario, very difficult to be obtained and stabilised outside the channels. Last but not least, single-crystal X-Ray diffraction will be used as the definitive tool for the characterisation, at the atomic level, of such ultrasmall species offering unprecedented snapshots about their real structures and formation mechanisms. The ultimate goal will be upscaling this synthetic strategy aiming at the large-scale fabrication of SNMCs and their industrial application will be then evaluated. A successful achievement of all the aforementioned objectives of this ground-breaking project would open new routes for the use of MOFs as chemical reactors to manufacture, at competitive prices, MOF-driven, structurally and electronically well–defined, ligand–free SNMCs in a multigram-scale.

Mots-clés : metal organic frameworks  mofs,subnanometric metal clusters,heterogeneous catalysis,chemical reactors,single crystal x ray diffraction,postsynthetic methods
Projet ERC : MIDNIGHT (Horizon 2020, appel 2017, Starting grants)
Domaine scientifique : Life Science
Panel : Neuroscience and Disorders of the Nervous System
Entité participante : Max Planck Society — Pays : Allemagne — Rôle : PI
Acronyme de l'entité : MPG
Type d'entité : Recherche
Financement ERC de l'entité : 1334600.16 €

Humans and many animals produce complex vocal sequences in order to communicate with each other. What are the neuronal mechanisms that integrate the auditory information and permit the production of a coordinated motor response during a vocal interaction? I will address this issue in the nightingale, a songbird species that is capable of duetting with rivals. During vocal interactions, nightingales have to precisely alternate between singing and listening, and I will test whether premotor centers are differentially sensitive to auditory input during these two states. In zebra finches, I have shown that the impact of a father’s song on premotor circuitry can be regulated by inhibitory interneurons during developmental song learning. Here I ask whether this same regulation of auditory input can rapidly change to support real-time vocal coordination in a duetting songbird. To measure neuronal activity during listening and singing, I will use intracellular recordings to assay the synaptic inputs and outputs of a premotor circuit. I will use a motorized intracellular microdrive that I helped to develop during my postdoc in order to enable these measurements in the freely behaving bird. A custom built vocal robot will be used to dynamically interact with birds during neural recordings. These experiments will reveal the synaptic profile of neurons during sensorimotor integration and clarify how nightingales are able to sing a temporally precise duet. The aims of my research proposal are 1) to investigate how auditory input influences the motor program, 2) how this auditory input is gated depending on behavioral demands and 3) how a song motif is generated on a neuronal population level. I will elucidate neural dynamics essential for vocal interactions, which may provide insights into brain mechanisms involved in human communication. As a result, this work would also generate new implications for our understanding of speech disorders and impairments to social function.

Mots-clés : sensorimotor integration,electrophysiology in behaving animals,vocal communication
Projet ERC : MetAction (Horizon 2020, appel 2018, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : Centre national de la recherche scientifique — Pays : France — Rôle : PI
Acronyme de l'entité : CNRS
Type d'entité : Recherche
Financement ERC de l'entité : 1389500.0 €

Humans can monitor their own mental lives and build representations that contain knowledge about themselves. This capacity to introspect and report one’s own mental states, or in other words “knowing how much one knows”, is termed metacognition. Although metacognition is crucial to behave adequately in a complex environment, metacognitive judgments are often suboptimal. Specifically for neurological and psychiatric diseases, metacognitive failures are highly prevalent, with severe consequences in terms of quality of life. This project proposes a new hypothesis to explain the determining factors of metacognitive failures: namely, that metacognition does not operate in a vacuum but relies on the monitoring of signals from the body, and more specifically, on motor signals involved during action execution. We suggest several experiments to test the motor hypothesis for self-monitoring, and propose a new remediation procedure to resolve metacognitive failures resulting from deficient action monitoring. We will start by assessing the contribution of motor signals to metacognition by identifying the behavioral and neural correlates for detecting self-committed vs. observed errors (WP1), and by using virtual reality and robotics to probe metacognition in a vacuum, operating in the complete absence of voluntary actions (WP2). Finally, we will use these results to develop and evaluate a method to train metacognition in healthy volunteers and individuals with schizophrenia in a bottom-up manner, using online feedback based on motor signals (WP3). This new metacognitive remediation procedure will be performed both in a clinical context and on mobile devices. The goal of this ambitious project is therefore twofold, theoretical in shedding new light on a cognitive process central to our most profound mental states, and clinical in establishing a new remediation method to tackle a major health and societal issue.

Mots-clés : metacognition,schizophrenia,virtual reality,fmri
Projet ERC : DECIPHER (Horizon 2020, appel 2020, Starting grants)
Domaine scientifique : Life Science
Panel : Integrative Biology: from Genes and Genomes to Systems
Entité participante : Wageningen University & Research — Pays : Pays-Bas — Rôle : PI
Acronyme de l'entité : WUR
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1499965.0 €

Humans, animals and plants are covered in microbes. Such microbiomes have a major impact on the health of their hosts and have been linked to traits like growth promotion, stress resilience, and diseases. However, the mechanisms underlying microbiome-host interactions remain poorly understood. Recent studies have shown that microbiome-associated phenotypes are often mediated by specific molecules, a ‘chemical language’ that enables microbes to interact with each other and with the host. The biosynthesis of these molecules is encoded in metabolic gene clusters (MGCs) that are subject to frequent horizontal transfer and are therefore highly strain-specific. Current computational methods for analysing microbiomes largely focus on comparative taxonomic analyses and generic metabolism, and overlook this complex "chemical dialog". Indeed, no adequate methods are available to systematically study the roles of MGCs in microbiomes. At the same time, metabolomics data from microbiomes are full of ‘dark matter’: unknown molecules that cannot be traced to their producers. Here, I propose to develop the first comprehensive computational framework to study the chemical language of the microbiome. In the past years, I have developed technologies that lay the foundation for this ERC project, including automated identification of MGCs, grouping them into families and annotating them using reference data. With DECIPHER, I will move my research to the next level, by developing new algorithms to link MGCs to their metabolic products and to predict their molecular and ecological functions in microbiomes. I will then apply this new framework in a systematic study of microbiome- associated phenotypes in plants and humans. Together, the innovations proposed here will fill a key gap in the analysis of microbiome function and pave the way toward precision-engineering of microbiomes with specific metabolic capabilities for designer soils and microbiome-based therapies.

Mots-clés : microbiome,specialized metabolism,natural products,biosynthetic gene cluster