Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Understanding mechanisms of Transcription Factor cooperativity across scales (TFCoop)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-04-01
End date: 2029-03-31
Duration (months): 60.0
Total project cost (EUR): 1990221.0
EU funding (EUR): 1990221.0
Participants: 1
Project status: SIGNED

Transcription Factors (TFs) are critical regulators of many essential cellular functions such as the acquisition of cell identities in healthy tissues and their dysregulation in disease. Transcriptional activation of a gene typically requires the cooperative binding of multiple TFs, that subsequently recruit various additional cofactors. Genomics has enabled the generation of a near-complete annotation of the cis-regulatory elements and TFs binding them across cell types. Yet, the precise function of each TF in the process and how these functionalities are assembled to activate transcription is an important open question. Here we postulate that despite strong cell-type specificity, the formation of TF cooperativity modules on DNA relies on general principles that are shared across cell-types. In TFCoop we propose to formalise these organizational rules by probing the effect of hundreds of thousands of perturbations of individual TFs on the regulatory activity of their network. We will apply time-resolved nuclear depletion using optogenetics in parallel for multiple TFs of two related networks, and contrast the primary effects of their depletion genome-wide. In a complementary approach, we will develop a reductionist system to study the function of tens of thousands of individual or controlled combinations of TF motifs when inserted into the genome. We will leverage the unique properties of single molecule genomics to measure the contribution of each TF to the activity of multiple components of the regulatory system, across multiple loci simultaneously. This will be followed by factor analysis and deep learning to integrate this large collection of primary effects of TF perturbation and identify the general principles of their assembly into cooperativity networks. Upon success of the project, the resulting models will unlock the understanding of the genetic encoding of cellular identities and allow their manipulation for regenerative medicine.

Keywords: transcription factor,cooperativity,single molecule genomics
Advancing the development and implementation of hologenomics in biological sciences (HoloGen)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Norway,Denmark,Finland,Austria,United Kingdom,Spain,Belgium
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2024-09-01
End date: 2028-08-31
Duration (months): 48.0
Total project cost (EUR): 2993658.17
EU funding (EUR): 2870877.6
Participants: 18
Project status: SIGNED

Basic biology as well as applied fields such as agrobiology, biomedicine or biotechnology are undergoing a revolution driven by the realisation that microorganisms impact virtually all biological processes. Microorganisms associated with complex organisms are no longer considered passive passengers but active crews that continuously interact with their host to shape a wide range of biological functions that play a key role in major basic and applied processes. The application of the newest high throughput molecular technologies to address such interplay has given rise to the novel field of hologenomics, which entails the joint analysis of host genomes and microbial metagenomes with the aim of understanding the impact of host-microbiota interactions in basic and applied biological processes. The DN HoloGen has been conceived to lead the development and practical implementation of hologenomics in order to gain a more comprehensive understanding of host-microbiota interactions, and their impact in both basic and applied areas with direct relevance to many of the global societal challenges. We propose to form an unprecedented multidisciplinary and scientifically sound training network by bringing together top researchers with theoretical knowledge on symbiosis biology, microbial ecology, animal evolution, animal production and biomedicine, as well as practical expertise in large- scale (meta)genomics, DNA sequence analysis, metabolomics, computational biology and biological systems modelling. We anticipate that the research results will be (i) of academic relevance through development of new analytical frameworks and understandings of host-microbiome interactions, (ii) of direct relevance to the portfolios of the industrial partners, and (iii) through these portfolios stand to benefit the European Research and Innovation community.

Keywords: hologenomics,metagenomics,transcriptomics,metabolomics,proteomics,ecology,agri sciences,dna sequencing
Multimodal labelling probes for correlative nanoscale mass spectroscopy imaging, optical and electron microscopies (MultiModLabPro)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-03-15
End date: 2026-03-14
Duration (months): 24.0
Total project cost (EUR): 206887.68
EU funding (EUR): 206887.68
Participants: 2
Project status: SIGNED

The applications of the integrative imaging approach relying on a unique combination of correlative microscopy methods such as secondary ion mass spectroscopy (SIMS) and optical microscopies such as stimulated emission depletion (STED) and electron microscopy (EM) are powered by the development of novel labelling probes for imaging, which play a pivotal role in their progress. There is currently a lack of new probes that can provide a high signal-to-noise ratio and low background in correlative microscopy during the acquisition process by photon counter and mass detector. Therefore, many scientists still cannot apply these advanced microscopy methods to their samples. The unique probe features will result in better contrast and spatio-temporal resolution of the obtained images. Now organic chemists can use the developed organometallic reactions to obtain the target fluorophores for probe construction. This research initiative relying on the tailor-made design and elaborated synthetic strategies will allow obtaining a new class of unique imaging probes with optimized optical properties. The new labelling probes, together with the optimized protocols for sample preparation and image analysis, will help get better image quality, which altogether will provide multi-dimensional information about the studied samples. I will develop new labelling tools for correlative multimodal imaging. Structure-property optimization of such labelling tools requires a tailor-made design of the fluorescent dye, which will not compromise intrinsic photophysical properties responsible for its fluorescence, such as "photon" or quantum yield. I will employ three different biochemical approaches to obtain the labelling probes. The probe design comprising functionalized nanobodies, gold nanoparticles, and fluorophores will be unique. I foresee a broad application of the obtained probes for multimodal bioimaging when they become available to a community of cell biologists and microscopists.

Keywords: super resolution,sted,sims,nanosims,analytical chemistry,probes,dyes,labelling,fluorophores,labelling probes,gold nanoparticles,mass spectroscopy imaging,electron microscopy,bioimaging
Unlocking and Harnessing the Potential of Sensitive Data (Sub Rosa)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Netherlands
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Roseman Labs is a deep-tech Dutch SME founded in 2020 with the mission to protect privacy and empower collaboration on sensitive data to tackle global challenges. Our product is a software platform that allows organizations to encrypt, link, and analyze multiple data sets while safeguarding the privacy and commercial sensitivity of the data. Our key technology is a cryptographic technique called “multiparty computation” (MPC). We have developed and patented several breakthroughs in MPC enabling our platform to encrypt vast amounts of data and quickly process them while the data remains encrypted to all parties. No other organization worldwide offers comparable performance. Roseman Labs owns 12 different patent families protecting our cryptographic engine. Thanks to the EIC Accelerator, we aim to unlock and harness the potential of sensitive data for Artificial Intelligence applications. Traditional methods for data collaboration involve combining data in centralized locations, which poses risks to data privacy. Once shared, data can be used for unintended purposes, taking control away from the original owners. There is a general unwillingness or inability to share data due to privacy concerns, resulting in valuable knowledge that could benefit society remaining "locked." In contrast, using our product, each data set remains under the direct control of its owner and is always up to date. We already have customers in the healthcare and public sectors, and the market opportunity is huge. According to Gartner, today only 1% of generative AI is based on proprietary or sensitive data. By 2027, this amount is expected to reach 50% due to increasing privacy concerns and stringent regulatory frameworks for data security. Roseman Labs seeks a Series A funding of €10 million to further develop the product, run validations with customers, and expand our team, which currently includes 30 people with diverse expertise in cryptography, software development, business, and IP.

Keywords: sensitive data,multi party computation,
Towards a social neuroscience of health-related decision-making (SOCIALCRAVING)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1491166.0
EU funding (EUR): 1491166.0
Participants: 1
Project status: SIGNED

Social relationships have important effects on health and disease. Our interactions with others, feelings of social isolation versus connection, and perceived social norms influence behavior, physiology, and even mortality. Yet, an ongoing challenge is to understand the brain mechanisms underlying social context effects on human health, which could ultimately enable us to use neuroimaging to predict psychosocial risk factors and individual vulnerability to unhealthy lifestyle. I propose to address this challenge, by testing how social norms and social relationships influence food and alcohol craving and health-related decision-making. Paralleling my recently developed brain signature of food and drug craving, I predict that I can develop a brain signature of social craving—our unfulfilled need for social contact—using fMRI and machine learning, and that responses of this signature are associated with increased susceptibility to social context effects on decision-making and health. Work package (WP)1 will test the effects of social influence on food craving, drink craving, and delay discounting, and whether social influence effects generalize across tasks. WP2 will test whether and how social rejection versus connection increases food and drink craving, delay discounting, and social craving. WP3 will use machine-learning to develop a new neurophysiological signature of social craving and use data from all WPs to investigate whether responses of this social craving signature are associated with 1) susceptibility to social influence, 2) social rejection effects on decision-making, and 3) aggregate measures of lifestyle, mental, and physical health. By uncovering the brain bases of social context effects, the SOCIALCRAVING project will transform our understanding of the neurophysiology underlying craving and health-related decision-making and allow for a new level of brain-based prediction of individual vulnerability to psychosocial risks and negative health outcomes.

Keywords: fmri social neuroscience decision making food choice brain imaging social influence
Innovative Point of Care for combined screening of Infectious diseases: application to Prevention of Mother to Child Transmission (MAGFA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Research and Innovation actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: France,Kenya,Côte d'Ivoire,Congo, The Democratic Republic of the
Call: Advancing point-of-care diagnostics to the market (HORIZON-JU-GH-EDCTP3-2023-02-two-stage, 2023)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 5078875.5
EU funding (EUR): 5078815.5
Participants: 7
Project status: SIGNED

By essence, diagnostic procedures intend to look for a certain panel of pathologies according to the risk factors or the symptoms of the patients to prevent further contaminations. This approach is particularly crucial in the context of concomitant epidemics affecting the same kind of populations such as HIV and Viral Hepatitis and Syphilis. Despite the huge effort made on HIV diagnostics, its main co-infections Viral Hepatitis and Syphilis has been widely ignored, particularly in SSA where less than 95% of infected people know their status (WHO 2021). Such underdiagnosis lead 4,5m new infections yearly over the world, and 1,8m deaths with at least 32% occurring in SSA. Those new infections in SSA are mainly due mother-to-child transmission, due to insufficient combined testing of pregnant women. The other cause is due to the present complexity of the testing algorithm to orient HBV pregnant women with active viremia toward treatment. A fully portable, autonomous multiplexed Point of Care device (3kg, 8h autonomy) has been developed. It is capable to perform 4 to 8 immuno-analyses in parallel in less than 15mn filing using 50µL of capillary blood. A first panel has been developed targeting HIV 1 & 2, Viral Hepatitis B and C. The goal of this project is first to evaluate the kit in SSA to see how the technology behave in different environments (Temperature, Humidity) and with blood presenting multiple other infections. MagIA IBC solution will be thus evaluated in lab and in the field among pregnant women to assess the performance and its impact on the Prevention of Mother To Child Transmission (PMTCT) particularly in region with low HIV prevalence where no testing is performed at all. Meanwhile a syphilis screening assay will be implemented and evaluated to better meet WHO Triple Elimination screening. ALAT and HBe-Ag assay will be developed to propose a Test and Treat approach for Hep B and further decrease mother to child transmission of Hepatitis B.

Keywords: blood borne viruses,point of care testing,prevention of mother to child infections,test and treat
All-integrated on-chip ion trap towards fault-tolerant quantum computing (MAGICAL)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Europe stands at a critical juncture in the global quantum computing race. As international tech giants invest billions in quantum research, the EU risks falling behind, potentially compromising its technological sovereignty and economic competitiveness. This situation demands an urgent and innovative European response. eleQtron presents a breakthrough solution: MAGIC (MAgnetic Gradient Induced Coupling) quantum computing technology. Unlike conventional approaches, MAGIC uses microwave fields to control trapped-ion qubits, offering unprecedented scalability and performance. This innovation overcomes key limitations of current quantum computers, providing a clear path to fault-tolerant, large-scale quantum systems. Our technology demonstrates world-record low crosstalk between qubits, high single- and two-qubit gate fidelities, and exceptional coherence times (up to 10 seconds), far surpassing competitors. Our unique architecture enables all-to-all qubit connectivity and operates at higher temperatures than superconducting systems, dramatically reducing infrastructure costs and complexity. Our solution has the potential to revolutionize industries crucial to Europe's future, from drug discovery and material science to financial modeling and climate change mitigation. Through this project, we will complete development of our scalable, on-chip trapped-ion processor, attract additional private investment, and ensure our strategically vital technology remains anchored in Europe.

Keywords: quantum computing trapped ions quantum technology fault tolerance qubits quantum error correction magnetic gradient induced coupling
Controlling imperfect robot swarms (iSwarm)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1498800.0
EU funding (EUR): 1498800.0
Participants: 1
Project status: SIGNED

Robot swarms are incredibly fragile against imperfections. World-class roboticists agree that one of the fundamental challenges in robotics is on the availability of systematic methods with formal guarantees for the design and control of the swarm's force multiplication, where sensing, actuation, and communication are distributed in space. However, no matter the approach, control theory, or heuristic, tiny imperfections are amplified throughout large numbers of robots and rapidly erode and make unpredictable the overall performance of the swarm. Notwithstanding, imperfections can result in surprising complex emergent behaviors such as intricate trajectory patterns of mobile robot swarms. iSwarm questions the current paradigm of fighting imperfections to suppress their “damaging” effects. Conversely, I propose a rigorous control theory to unleash and ally with imperfections, such as dropouts, delays, and scaling/biasing factors in sensors and actuators, as novel distributed control inputs for taming emergent behaviors. My paradigm shift requires new ways of analyzing algorithms and their robot integration at the crossroads between algebraic graph theory, network theory, control, and mechatronics for multi-agent systems. To achieve the project's goal, I will: 1) develop a general formulation to characterize the controllability/stabilizability of emergent behaviors with imperfections as inputs; 2) introduce unconventional strategies such as the mismatched Lyapunov functions to engineer emergent behaviors; 3) construct equivalence principles between imperfections and inconsistent shared information to improve the effectiveness of the swarm’s “collective awareness” for fault-recovery algorithms; and 4) demonstrate the control of a state-of-the-art robot swarm in non-lab conditions by exploiting robot imperfections. iSwarm regards imperfections as part of the solution, will inspire innovative research methods and lead new applications of multi-robot systems.

Keywords: multi robot systems
Black Hole Stability (BlaHSt)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2487450.0
EU funding (EUR): 2487450.0
Participants: 1
Project status: SIGNED

The discovery of black holes, first as explicit solutions of Einstein equations of general relativity, and later as possible explanations of astrophysical phenomena, has revolutionized our understanding of the universe. From a mathematical perspective, a central issue is to investigate the stability of these fascinating objects. This is the focus of the present proposal containing the following work packages: -Kerr stability conjecture. This concerns the nonlinear stability of Kerr black holes which form a 2-parameter family of explicit solutions to Einstein vacuum equations. It has become, since its discovery by R. Kerr in 1963, a central topic in general relativity, first during the golden age of black hole physics, and in the last twenty years in mathematical relativity. These efforts have led to the recent resolution, by the PI and collaborators, of the conjecture in the slowly rotating case. The goal of this work package is to tackle the general case. -Black hole stability with matter. Breakthrough concerning the stability of Kerr for Einstein vacuum equations opens the door to other physically relevant cases in the context of Einstein equations coupled to matter. This work package aims at proving the stability of charged Kerr-Newman black holes for Einstein-Maxwell equations, Kerr back holes for massless Einstein-Vlasov equation, as well as the stability of Kerr-de Sitter black holes in the case of an arbitrarily small cosmological constant. -Price's law and Kerr stability. An open problem concerns the optimal decay rate for perturbations of Kerr that can be achieved in the Kerr stability problem. The analogous problem for corresponding linear toy models is known as Price's law. Obtaining an optimal decay rate in the context of the Kerr stability problem would not only vastly extend Price's law, but it is also expected to have important implications on the Strong Cosmic Censorship conjecture concerning the deterministic character of Einstein equations.

Keywords: einstein equations,general relativity,black holes,asymptotic stability,hyperbolic partial differential equations,lorentzian manifolds,decay for wave equations