Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Coordination and Support Action for the Future engagement model for the EOSC Federation (EOSC United)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: EOSC ecosystem
Action type: Coordination and support actions
Partnership: EOSC (co-programmed)
Countries involved: Belgium,Germany,Italy,Spain,Finland,Czechia,Netherlands,Greece,United Kingdom
Call: Future Engagement Model for the EOSC Federation (HORIZON-INFRA-2024-EOSC-02, 2024)
Start date: 2025-09-01
End date: 2028-08-31
Duration (months): 36.0
Total project cost (EUR): 3705983.08
EU funding (EUR): 3599000.94
Participants: 14
Project status: SIGNED

The European Open Science Cloud (EOSC) aims to establish a FAIR research system in Europe through the EOSC Federation, enabling researchers to share and analyze data across disciplines and borders. The EOSC United project plays a crucial role in uniting the research community within this federation. The EOSC EU Node, launching in autumn 2024, will serve as the foundation for the EOSC Federation, providing blueprints and an interoperability framework for future nodes. It aims to promote multidisciplinary research by leveraging FAIR data and services across Europe and beyond. EOSC United supports the European Commission and EOSC EU Node contractors in promoting resource uptake. It engages various stakeholders, facilitates user involvement through use cases and adoption calls in collaboration with EOSC Gravity to showcase early successes. The project provides feedback on the EOSC EU Node's evolution and helps shape the EOSC Federation's governance and operational framework. Through these efforts, EOSC United aims to solidify EOSC's position in future EU framework programmes and ensure its success as a collaborative and sustainable research infrastructure. The project's work is essential in realizing the vision of open, accessible, and reusable scientific data across Europe.

Keywords: open science eosc eu node eosc federation fair data research infrastructures data sharing european research
ERA-Chair: Striving for excellence in forest ecosystem research (EXCELLENTIA)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Czechia
Call: ERA Chairs (HORIZON-WIDERA-2022-TALENTS-01, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 2499530.0
EU funding (EUR): 2499530.0
Participants: 1
Project status: SIGNED

The objective of the project ERA-Chair: Striving for excellence in forest ecosystem research (EXCELLENTIA) is to create an excellent interdisciplinary research group engaged in Forest Ecosystem Research (FER), under outstanding scientist Professor Douglas L. Godbold at the Faculty of Forestry and Wood Technology (FFWT) Mendel University in Brno (MENDELU). He will be a scientific leader guiding FFWT structural changes and transferring the faculty into a modern and accountable institution. The structural changes include, i.e. implementation of sustainable research & innovation, accountability in intellectual property rights and research data management, and codification of scientific morality in practice and career guidance. The FER researchers will focus on climate-driven change in European forests, the sustainability of their functions, methods to ensure forest stability in the following decades, and the tree predisposition to death. In addition, the FER group will study the effects of predicted future climatic scenarios on Central European forests. EXCELLENTIA will use the enormous potential of the Training Forest Enterprise (UFE) Masaryk Forest in Křtiny, a long-term research site. Some of the research plots at UFTE were established in 1973, and tree growth data has been measured continuously, which has led to unique datasets. Prof. Godbold will be head of the FER Research Group which will have the same status as the other Departments at the FFWT. This enables high autonomy in defining scientific themes and approaches in research. EXCELLENTIA will be built on the data availability, previous research investments and the research programme developed at the FFWT.

Keywords: forest,ecosystem,tree growth,capacity,excellence,career,data,tree,pathogen,soil,fungi
METABOLIC REGULATION OF GENOME FUNCTION AND CELL IDENTITY (NUCLEAR)

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: Spain,Italy,Germany,Norway,Denmark,Netherlands,Sweden,Cyprus,Saudi Arabia,United Kingdom
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2025-03-01
End date: 2029-02-28
Duration (months): 48.0
Total project cost (EUR): 4243368.21
EU funding (EUR): 4023720.9
Participants: 29
Project status: SIGNED

NUCLEAR aims at educating future experts that can drive the emerging field of Metabolic Regulation of Genome Function and Cell Identity relevant for stem cell biology and cancer. It is a Doctoral Training Network composed of 14 beneficiaries and 12 partner organisations including three industrial partners, a training-oriented foundation, a patient support association from 8 EU member states, 1 associated country and a non-EU member state self-funding itself to the level of beneficiary. Given the highly interdisciplinary nature of this emerging field, no single institution can provide all suitable infrastructures and the know-how required for high-quality PhD-level training. To address this shortfall in training capacity, NUCLEAR brings together European leaders in metabolomics, functional genomics, chromatin regulation, stem cell biology and cancer with innovators in precision nutrition, mass spectrometry technologies and drug development. Together we are committed to the following: 1. To train 16 doctoral candidates (DCs) through an innovative program structured in four capacity axes and occurring on three complementary levels to deliver enabling scientific and transferable skills. 2. To guide DCs in collaborative research bridging boundaries of countries, sectors, and disciplines. 3. To address three key challenges that limit the advancement and exploitation of the field and that are the lack of tools to measure nuclear metabolism, the lack of understanding of underlying molecular mechanisms and the lack of targets for novel cancer therapies. 4. To build lasting infrastructures for dissemination, communication and exploitation promoting an entrepreneurial culture and maximizing and extending the impact of this proposal beyond its lifetime. 5. To increase the international visibility of European research by taking leadership in the emerging field of Metabolic Regulation of Genome Functions and Cell Identity.

Keywords: nuclear metabolism,chromatin,drug targets,histone modifications
B-specific: B-cell related gene and protein markers with prognostic and therapeutic value for CVD (B-specific)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Netherlands,Sweden,Belgium,Italy,Germany
Call: EIC Pathfinder Challenge: Cardiogenomics (HORIZON-EIC-2022-PATHFINDERCHALLENGES-01, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 4006599.85
EU funding (EUR): 4006599.85
Participants: 6
Project status: SIGNED

Atherosclerosis is the major underlying condition of cardiovascular disease (CVD) and one the leading causes of mortality. Rupture or erosion of atherosclerotic lesions can lead to acute cardiovascular events, such as myocardial infarction and stroke, making biomarkers to diagnose patients at risk for these events and develop tailored preventive interventions, an urgent need. Although atherosclerosis is a chronic inflammatory disease, clinical investigation of the adaptive immune system as a potential rheostat for disease development has been limited. The B-specific consortium aims to classify and mitigate risk of CVD by generating novel types of genetic data and defining novel prognostic and therapeutic targets attained from our recent discovery of a specific B-cell subset. We will employ state-of-the-art technology, including single cell RNA sequencing, BCR repertoire analysis and mass spectrometry-based identification of autoantigens in CVD patient material. With access to large population-based cohorts (FIMCOD, ERGO Study) spanning healthy adults of 40-105 years of age, we aim to assess the prognostic value of circulating B cell subsets and antibodies in (sub)clinical atherosclerosis and investigate the contribution of genetic disposition. Using the extensive genomics data of the ERGO Study, we will be able to determine causal links between the prognostic indicators and disease progression by applying Mendelian Randomization experiments and confirm these relationships in ex vivo and in vivo models of atherosclerosis. Based on these findings, B-specific aims to develop at least 1 proof-of-concept therapy targeting specific B cells. B-specific will implement an active open science platform and in combination with a targeted dissemination approach to healthcare professionals, we aim to impact cardiology practice and provide important new means of patient stratification and treatment options.

Keywords: immunity,b cells
Mechanistic models of leukemia-niche interaction using multimodal single cell profiling (epiNicheAML)

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-2021-COG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The bone marrow is one of the most dynamic adult stem cell niches containing hematopoietic stem cells and non-hematopoietic mesenchymal stem and stromal cells, which make up the bone marrow niche. The niche regulates the immune system and constitutes a major determinant of chemoresistance in hematological malignancies, including acute myeloid leukemia (AML). Identifying the mechanisms by which AML interacts with its niche will open novel therapeutic avenues. AML is driven and maintained by leukemic stem cells (LSCs), and failure to eradicate them will result in relapsing of the disease. Yet, despite decades of research on LSCs, none of the therapies aiming at eradicating them reached clinical practice. Recent studies suggest an important role for bone marrow stromal and immune cells in driving AML. Together with our preliminary data, that show LSCs-induced upregulation of metastasis-related genes in stromal cells, this leads to the hypothesis that AML remodels its niche in ways that favours its survival and represses healthy hematopoiesis. Most studies in AML focus on LSC-intrinsic, stromal niche, or immune mediated mechanisms separately. Thus, we currently lack a comprehensive view of the complexity of the human bone marrow and its interaction with AML. To close these gaps, we propose an ambitious experimental design including multi-modal single cell sequencing of an AML cohort followed by innovative computational approaches integrating these data into predictive cell-type specific models - to generate mechanistic hypotheses about AML-niche interactions that we then test using patient-derived xenograft and in vitro culture models. Our ambitious project will provide fundamental insights into stem cell-niche interactions and may lead to a paradigm-shift in treating hematological malignancies - away from eradicating malignant cells towards reconstituting a healthy niche that generates a healthy immune environment.

Keywords: single cell multiome,bone marrow niche,aml,high throughput single cell sequencing
Elucidating mechanisms underlying trait instability in maize (STEM)

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: Life Sciences
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

Crop trait instability, particularly under climate change, poses a significant challenge to global food security. Epigenetic mechanisms are increasingly recognized as key contributors to this instability. Paramutation, an epigenetic phenomenon where one silenced inducing allele heritably silences its homologous active sensitive counterpart, leads to unstable traits across generations. Despite its implications for breeding, the mechanisms underlying paramutation remain largely elusive. Recent findings from the host lab suggest that specific DNA methylation and histone modification patterns play central roles in this process. Building on these insights, this project investigates how these epigenetic modifications influence paramutation, using the maize booster1 (b1) gene as a model. The project is structured into two main objectives: First, I will investigate the hypothesis that inactive DNA flanking the sensitive b1 allele facilitates its silencing by the inducing b1 allele. If true, when exposed to the inducing allele, DNA methylation will spread from the inactive flanking DNA into the active b1 sequences, triggering their silencing. To test this, I will generate detailed DNA methylation profiles during key developmental stages using the novel Cas9-targeted long-read sequencing (nCATS) method. Second, I will explore the relationship between DNA methylation and repressive histone modifications, focusing on the order in which these epigenetic marks are established during paramutation. I will also employ the novel dCas12a-SunTag-TET1-system to specifically demethylate the flanking inactive regions of the active b1 allele, and assess its impact on paramutation. These approaches will advance our understanding of paramutation and provide clues on how to stabilise desirable crop traits. This project is a critical step toward my goal of becoming an independent researcher, by deepening my expertise in epigenetics, advanced lab techniques and crucial transferable skills.

Keywords: unstable traits,crop plants,paramutation,dna methylation,histone modifications,epigenome engineering,nanopore sequencing
Circuit mechanisms of cortical predictive learning (Learn2Predict)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 1941819.0
EU funding (EUR): 1941819.0
Participants: 1
Project status: SIGNED

To perform sensory guided behaviors, animals need to distinguish self-generated and externally generated sensory inputs. Predictive processing theories propose that the brain does this by learning to predict sensations caused by self-motion. The key signals thought to drive this learning are prediction errors: differences between predicted and actual sensory input. My previous work shows that neurons in the primary visual cortex (V1) compute visuomotor prediction errors, and that prediction errors activate the locus coeruleus, a brain-wide neuromodulatory system. We will now investigate the circuit and neuromodulatory mechanisms underlying the learning of sensory predictions, using V1 as a model. I hypothesize that input to V1 from higher order cortical areas undergoes plasticity during self-generated sensory feedback. This plasticity should be driven by prediction errors in V1 activity, modulated by locus coeruleus output, and improve detection of externally generated visual flow during self-motion. We will test this hypothesis using innovative methods, including a multimodal virtual reality system and a novel object detection task, combined with in vivo whole cell recordings, two-photon imaging, and optogenetics. The specific aims are to (1) investigate how prediction errors are communicated between the locus coeruleus and the cortex, (2) decipher the mechanisms of predictive plasticity within the V1 circuit, and (3) assess the behavioral relevance of this plasticity. The knowledge gained will have a fundamental impact on our mechanistic understanding of predictive learning in the cortex and the role of neuromodulation in this process, which will have significance for 1) understanding conditions in which the processing of self-generated sensory feedback is thought to be disrupted (e.g., neurodevelopmental conditions and psychosis), and 2) development of AI and brain-machine interfaces that deal with self-generated sensor feedback (e.g., prostheses).

Keywords: learning,plasticity,neocortex,sensorimotor integration,visual cortex,neuromodulation
High Performance Language Technologies (HPLT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Spain,Czechia,Norway,Finland,United Kingdom
Call: Technologies for data management (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2021-DATA-01, 2021)
Start date: 2022-09-01
End date: 2025-12-31
Duration (months): 40.0
Total project cost (EUR): 4058287.5
EU funding (EUR): 3880687.5
Participants: 8
Project status: SIGNED

High Performance Language Technologies (HPLT) is a space combining petabytes of natural language data with large-scale model training. With trillions of words of text, the space will be the largest open text collection. Cleaning and privacy protecting services improve the quality and ethical properties of the text. Going beyond static repositories that require the user to individually analyze each data set, the project will rate data sets by how much they improve end-to-end language models and machine translation systems. Continuous integration of models and data will result in free downloadable high-quality models for all official European Union languages and beyond. The models will be reproducible with information and evaluation metrics shown in a publicly available dashboard. By focusing on training at scale, the project complements the inference-focused European Language Grid, which in turn will be used for model deployment. Datasets, models and information about them will be published in recognized FAIR data repositories, aggregation catalogues and marketplaces for easy discovery, access, replication, and exploitation.

Keywords: natural language processing,high performance computing,language models,machine translation
Thresholds in Rainforest Organisms: a Pan-taxa and Integrated Community approach (TROPIC)

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: Environment and Geosciences
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-01
End date: 2027-07-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

This research proposal presents an innovative approach to assessing the impacts of land use and climate change on biodiversity in the Brazilian Atlantic Forest, one of the world's most critical biodiversity hotspots. The project integrates ecological modeling, spatial analysis, and advanced statistical techniques to understand biodiversity shifts across amphibians, birds, and mammals, focusing on taxonomic, functional, and phylogenetic dimensions. By identifying critical ecological thresholds—points where small environmental changes trigger significant community shifts—the research fills a key gap in current studies, which often focus on isolated taxa or regions. The research has three main goals: (1) Identify significant shifts in species assemblages along gradients of natural habitat and anthropogenic land use, pinpointing ecological thresholds and community shifts. (2) Analyze how interactions between climate change and land-use change will impact the distribution of biodiversity, using species distribution models to forecast future scenarios. (3) Identify and project future biodiversity shifts and overlay these onto existing conservation areas, providing actionable maps to guide conservation efforts. The use of GradientForest for threshold analysis across the entire biome is particularly innovative, offering a comprehensive understanding of biodiversity dynamics. The project emphasizes open science practices, ensuring transparency and reproducibility by using publicly available data and sharing analytical code. This interdisciplinary approach not only advances ecological theory but also provides practical tools for conservation planning, with potential applications beyond the Atlantic Forest. Overall, the project represents a significant advancement in biodiversity conservation, offering new insights into the challenges posed by land use and climate change and contributing to the development of effective conservation strategies.

Keywords: community turn over land use change climate change trait ecology functional ecology phylogenetic ecology disturbance ecology brazilian atlantic forest anurans forest birds mammals