Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Spatial and temporal regulation of cell competition (CELL-FIT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cell Biology, Development, Stem Cells and R egeneration
Panel description: For all organisms : Structure and function of the cell, cell -cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-05-01
End date: 2030-04-30
Duration (months): 60.0
Total project cost (EUR): 1999993.0
EU funding (EUR): 1999993.0
Participants: 1
Project status: SIGNED

Every tissue in our body is a mosaic formed by individual cells that have different levels of cellular fitness. Competitive interactions, where the relative differences in fitness determine cell survival, therefore have a major impact on the physiology of a wide variety of tissues. Cell competition is versatile and abundant, and it impacts a broad spectrum of processes, ranging from early embryonic development to aging. Yet, due to the heterogeneity of competitive interactions, both in space and time, the dynamics of this process are difficult to unravel. For instance, it is unclear which long-term adaptations of cellular behavior cell competition induces. Furthermore, the consequences of a locally activated response on overall tissue fitness are unknown. The overall objective of this project is to unravel spatial and temporal regulation of cell competition. Specifically, I aim to understand the: 1) Cell competition-driven adaptations of cellular behavior 2) Mechanistic regulation of competitive cellular interactions 3) Contribution of cell competition to tumor growth in different tissues The foundation of this project is formed by our innovative 3D co-culture system which my team developed to dissect competitive behavior at molecular, cellular, and population scales. We will combine this system with a newly generated toolbox to recognize and manipulate interacting and competing cells. By leveraging our leading expertise in long-term quantitative imaging and single cell multi-omics, we will mechanistically untangle cell competition in primary intestinal cancer in space and time. To understand how competition affects different types of tumor growth and find shared regulators of this process, we will expand our co-culture systems to different tissues. Together, this provides the unique opportunity to tackle a fundamental question in cell biology: How is cell competition regulated in space and time and how does this impact tissue composition and tumor growth?

Keywords: cell competition,quantitative microscopy
ONCODIR – Evidence-based Participatory Decision Making for Cancer Prevention through implementation research (ONCODIR)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Cancer
Destination: Cancer
Action type: Research and Innovation actions
Countries involved: Greece,Spain,Austria,Romania,Belgium,Lithuania,Netherlands,Italy,Cyprus,Luxembourg
Call: Improving and upscaling primary prevention of cancer through implementation research (HORIZON-MISS-2022-CANCER-01, 2022)
Start date: 2023-06-01
End date: 2026-11-30
Duration (months): 42.0
Total project cost (EUR): 7893636.25
EU funding (EUR): 7893636.25
Participants: 29
Project status: SIGNED

Colorectal cancer (CRC) is one of the most common cancer types and its increased occurrence may be attributable to adverse health behaviors, especially in lower socioeconomic status populations. Stemming from the specific risk factors identified with CRC, ONCODIR integrates multidisciplinary research methods from health policy analytics; social and behavioural science; AI-powered multi-omics and retrospective data analytics as well as decision support theories to deliver evidence-based cancer prevention programmes and innovative AI-powered personalised prevention approaches. ONCODIR recognises that the evaluation of the ONCODIR prevention programmes needs to address cost effectiveness, affordability and cost benefit parameters. Thus it will also investigate cost balancing and demand generating financial schemes that will lead to enhanced CRC prevention programmes. The coherent technological ecosystem that ONCODIR is developing is based on robust AI trustworthiness and privacy preserving principles to deploy recommendation services that will be specified by citizens, health policy actors and SSH experts, during three design thinking workshops. SSH research will address aspects such as the life-status, nutritional and social habits in tandem with Economics, Sociology and Local/Regional Cultural identity and Ethics. ONCODIR’s results will be validated in three Laboratory Integration Tests (LITs) and three Large-scale Intervention Pilots (LIPs) in five EU member states, with the active involvement of medical scientists, health care providers, foundations and consortium experts. The ONCODIR consortium is composed of complementary partners, coming from multidisciplinary research, technological and SSH domains, with a proven track record of high-quality research capacity. The carefully structured workplan, embodies a holistic approach toward meeting the ONCODIR objectives and delivering feasible policy-supporting outcomes of significant exploitation potential. This action is part of the Cancer Mission cluster of projects on ‘Prevention and early detection.

Keywords: artificial intelligence,decision support systems,privacy,trustworthy ai,big data,healthcar,primary prevention,intelligent systems
Inverting α-glucosidase inhibitors as potential drugs for SARS-CoV-2 (glyCoVdrugs)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 203464.32
EU funding (EUR): 203464.32
Participants: 1
Project status: CLOSED

Viral infections are still a major challenge in medical therapy. The recent outbreak of SARS-CoV-2 has again shown the immense threat these pathogens pose. In contrast to the direct-acting antivirals approach (targeting viral proteases, polymerases or other viral enzymes involved in replication), which is mostly followed by the pharmaceutical industry, this proposal targeting host cell enzymes involved in the biogenesis of infectious virions. In this context inverting α-glucosidases are of special interest. They play an important role in cell functions, such as the correct folding of proteins in the endoplasmic reticulum (ER). However, up to now selective inverting α-glucosidase inhibitors are scarce, and chemical probes that report on these selectively in biological samples non-existent. The dedicated aim of this proposal is to overcome this absence of inhibitors and probes. To identify novel inhibitors, activity-based protein profiling (ABPP) will be applied. This powerful analytical method is a driving force in chemical biology and medicinal chemistry but depends heavily on the availability of mechanism-based enzyme inhibitors. Based on current knowledge on retaining α-glucosidase inhibitors, unprecedented inhibitors and probes for inverting α-glucosidases will be developed and applied to ABPP. Their synthesis follows a divergent synthesis method to efficiently produce a wide library of compounds, that will be screened on the target enzyme, human ER α-glucosidase I. As the work on retaining α-glycosidase has shown, inverting α-glucosidase inhibitors are likely to be important tools for advancing many areas of application that are outside the primary scope of the proposed research (antiviral agents). Overall, my proposal on inverting α-glycosidase inhibitors and probes will therefore make a significant contribution to the current state of the art in glycan research.

Keywords: glycans,antivirals,inverting alpha glycosidases,activity based protein profiling,aziridines
Model-aware learning for imaging inverse problems in fluorescence microscopy (MALIN)

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: Italy
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-11-01
End date: 2029-10-31
Duration (months): 60.0
Total project cost (EUR): 1432734.0
EU funding (EUR): 1432734.0
Participants: 1
Project status: SIGNED

This project will develop model-aware, i.e. physics-informed, learning methods for solving imaging inverse problems (IIPs) in fluorescence microscopy imaging (FMI). IIPs are frequently encountered in FMI whenever a visual representation of a biological sample needs to be reconstructed from incomplete and noisy input measurements. Such IIPs are typically ill-posed: their solution (if it exists) is unstable to perturbations. Classical model-based approaches reformulate the IIP at hand as an energy minimisation task. Such approaches rely both on the (approximate) knowledge of the complex physical processes involved and on the mathematical design of hand-crafted optimisation methods whose tuning is often very time-consuming. Concurrently, the impressive development of machine and deep learning methods has enabled the applied imaging community with new data-driven methodologies providing unprecedented results in tasks such as image classification. The performance of data-driven methods for solving IIPs in FMI, however, is halted by their intrinsic unstable behaviour. In MALIN, I propose an integrative paradigm where the stable performance of model-based approaches is combined with the effectiveness of data-driven techniques by means of shallow model-constrained learning and deep physics-informed generative approaches. The reliability of the model-aware methods proposed will be justified by theoretical results providing reconstruction and convergence guarantees. The study will further account for possible geometric invariances and imperfect physical modelling, showing robustness to modelling errors which are frequent when standard (low-cost) equipment is used. Algorithmic acceleration strategies and inexact/stochastic algorithms will be devised to guarantee efficient performance also under limited computational resources and training data. The methodologies will be deployed on several IIPs in FMI and democratised through the release of open software and plug-ins.

Keywords: inverse imaging problems,bilevel optimisation,hyper parameter selection,physics informed deep learning,non smooth optimisation,fluorescence microscopy,3d super resolution,light sheet microscopy,multi focal imaging
The eye as a window to the brain (NeuroRetina)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Germany
Call: Women TechEU (HORIZON-EIE-2021-SCALEUP-01, 2021)
Start date: 2022-06-01
End date: 2022-11-30
Duration (months): 6.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Nocturne GmbH, founded in 2018, is a spin-off from the Charité – Universitätsmedizin Berlin, Germany developing software solutions to efficiently process retina image data for neurological applications at scale across devices using advanced AI-based analysis. The innovative and unique technology developed tackles one the current major challenges in healthcare, the rapidly increasing burden of brain diseases. With the increase of life expectancy and aging population neurological disorders are the leading cause of disability and the second leading cause of death worldwide. The greatest unmet needs are better, faster and more cost-effective diagnostic and monitoring tools that could be widely available and have the potential to detect these diseases at the earliest stage in order to delay disability and provide each patient with a personalized treatment. To address this the team of Nocturne identified two major opportunities, the use of the retina as a window to the brain, and an already established on the market hardware imaging technology, cost-effective, widely available with no burden for the patient that can capture retinal images in less than 5 minutes. With its product, Nocturne addresses customers in pharmaceutical research, academia, and clinical care. In Germany alone, more than 1 million patients suffer from relevant diseases like Multiple Sclerosis, Parkinson’s disease, and others. We estimate the annual market volume in Germany alone at 350 million€, in Europe at 2 billion€. At market entry, Nocturne product is a CE-certified local installable web service, which accepts data from standard retinal imaging devices. The data are then analyzed with Nocturne’s technology, and a report is generated for the physician. The pricing is based on a pay-per-analysis, a model commonly used, for example, in radiology. Our focus is by removing the technical barriers and by providing unique insights into the diseases to enable better disease management and patient care.

Keywords: improved technical and business product
Reactivity of dinitrogen and hydrocarbons for C–N bond formation (READHY)

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: Spain,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-02-01
End date: 2027-01-31
Duration (months): 36.0
Total project cost (EUR): 261380.64
EU funding (EUR): 261380.64
Participants: 3
Project status: SIGNED

The activation and functionalization of dinitrogen under mild conditions remains one of the major challenges of contemporary chemistry. Despite being the most abundant form of nitrogen, the strength of its triple bond renders it highly unreactive. Thus very few and not yet efficient systems mediate its functionalization. This proposal entitled READHY (REActivity of Dinitrogen and HYdrocarbons for C-N bond formation) aims to achieve the catalytic formation of C-N bonds from dinitrogen and inactivated hydrocarbons by iron catalysts stabilized by novel bifunctional diketiminate ligands. The project is very ambitious both synthetically and conceptually, but it builds on solid preliminary work and the expertise of the host groups. This original MSCA project will offer cutting-edge science on the road to fulfil the long-standing goal of efficient dinitrogen functionalization for the synthesis of N-containing organic molecules, with long-term technological, economic and societal benefits. READHY will be developed by the candidate at Yale University (United Stated, outgoing phase) and the University of Seville (Spain, incoming phase) under the supervision of Prof. P. L. Holland and Dr J. Campos, respectively. The project combines ligand design, advanced organometallic studies, and important applications in dinitrogen chemistry. Moreover, the dynamism of the host groups and the training plan offer ideal conditions for the researcher to enhance its potential towards the start of her independent career.

Keywords: n2 reduction n2 funtionalization transition metal bimetallic systems
Innovative methodology based in circular economy and artificial intelligence to foster the transition to Sustainable and very high eNergy performance bUildinGs at a cost optimal level (SNUG)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Efficient, sustainable and inclusive energy use
Action type: Innovation actions
Partnership: B4P (co-programmed)
Countries involved: Spain,France,Austria,Norway,Türkiye,Netherlands,Switzerland,United Kingdom,Germany,Greece,Ireland
Call: More sustainable buildings with reduced embodied energy / carbon, high life-cycle performance and reduced life-cycle costs (Built4People) (HORIZON-CL5-2022-D4-02, 2022)
Start date: 2023-11-01
End date: 2027-04-30
Duration (months): 42.0
Total project cost (EUR): 6708858.75
EU funding (EUR): 5519275.75
Participants: 17
Project status: SIGNED

Buildings are responsible for over 40% of the energy consumption and CO2 emissions in EU. Accordingly, The CE has stablished ambitious building standard aiming to transform all existing buildings into ZEBs by 2050 to reach a fully decarbonised building stock. SNUG aims to demonstrate on three real buildings with different characteristics, uses and climatology, the application of an innovative methodology to support planners of new buildings or retrofitting works in selecting the most appropriate set of insulation materials, their combination and placement to maximise the energy efficiency and minimize GHG emissions of the building throughout its life cycle to make its ZEB rating more easily achievable, considering specific building characteristics and its environment, at an optimal cost level. This methodology will be supported by: -A Digital Tool Assistant based on AI and virtual simulation which will range several final options of thermal insulation materials and layouts, based on benchmarks predictions related with energy demand (operational and embedded energy), sustainability, safe & security and cost and particular features of buildings. -Innovative sustainable-by-design thermal insulation materials and lightweight prefab solutions ready to the market deployment, based on Circular Economy, Smart and/or Renewable materials, able to improve energy efficiency and sustainability of buildings in comparison with current market solutions at a competitive cost. -Insulation materials database, including technical and LCA information. Innovative thermal insulation solutions will be incorporated including current solutions in the market. This database will be released as an open data outcome. -A Digital Building Logbook, collecting all the information about the buildings throughout their whole life in a digital and interoperable format with BIM and the DTA. This DBL will facilitate decision making and information sharing within the construction sector and stakeholders

Keywords: thermal insulation,zeb,sustainability,comfort
The ‘orphan’ boundary type in plate tectonics: oceanic transform faults reconstructed (TRANSFORMERS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-10-01
End date: 2028-09-30
Duration (months): 60.0
Total project cost (EUR): 2864427.5
EU funding (EUR): 2864427.5
Participants: 1
Project status: SIGNED

The plate tectonic revolution gave birth to three types of plate boundaries; two got most of the interest, i.e., the mid-ocean ridges where new ocean floor is formed and subduction zones where the lithosphere is recycled back into the Earth’s interior. In the oceans, the third type, the “simple” strike-slip conservative plate boundary or oceanic transform fault (OTF), was treated like an orphan in a Charles Dickens novel. However, recent observations challenge plate tectonics, revealing that OTFs show unexpected complex behaviour. The morphology of oceanic transform systems and numerical modelling suggests that OTFs are extensional below their strike-slip faults at the surface. Later in their evolution, before converting from an active fault into an inactive fracture zone at the ridge-transform intersection, OTFs may turn into accretionary features. Yet, how can a strike-slip plate boundary, generating magnitude >7 earthquakes, promote extension forming up to 18 km wide and 7 km deep valleys? Furthermore, a fault zone grading from a strike slip fault into an extensional feature at depth would be a unique geological feature and may control their major seismic slip deficit. TRANSFORMERS will reveal: (i) if OTFs are indeed wrongly classified in plate tectonics and are not conservative plate boundaries, but instead have to be re-classified as features where accretion occurs in two-stages, separated by a period of transform extension, revealing a process fundamentally different from predictions of plate tectonics, suggesting that fracture zones are structurally different from OTFs; (ii) how OTFs operate from top to bottom and why their seismic moment release is too low. The project will require major sea-going efforts, issuing seismological, geodetic and geological surveys on the ocean floor, mimicking a multiple year’s land campaign. The outcome will revolutionize our understanding of oceanic transform faults, adding a new chapter to plate tectonics.

Keywords: plate tectonics,oceanic transform faults,seismic slip deficit,seismicity,crustal structure,depth dependent deformation,depth dependent temperature,hydrothermal activity,hydration