Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Targeting CRISPR-based HDAC inhibitors to histones: a new tool for assessing mechanisms of class I HDAC inhibitors and developing chemical probes. (CRISTONE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Switzerland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2020-08-31
Duration (months): 36.0
Total project cost (EUR): 265840.2
EU funding (EUR): 265840.2
Participants: 2
Project status: CLOSED

Cancer is responsible for 8.5 million deaths worldwide each year, representing a considerable burden for society. In cancer cells, tumor repression genes are deactivated by epigenetic mechanisms. The accessibility of DNA to transcription factors is determined in part by the chemical modifications of histones, proteins that pack DNA into condensed chromatin. When histones are deacetylated by histone deacetylases (HDACs), the chromatin structure is even more packed, preventing gene expression. HDAC inhibitors are epigenetic drugs currently in the market, able to increase histone acetylation, unpacking DNA for gene transcription. However, the specific mechanisms leading to the success or failure of those drugs are poorly understood, leading to unpredictable therapeutic outcomes. HDAC inhibitors are expected to interact with HDACs in the cell nucleus. However, fluorescence-labeling has revealed HDAC inhibitors to locate mostly outside the nucleus in living cells, suggesting that their genomic effects represent only part of their activities. This project aims at developing a set of tools, using a modified genome-editing method and a fluorescent chemical probe combined with genome-wide assays to understand specifically the genomic mechanisms of HDAC inhibitors. We will develop the CRISTONE (CRISPR-based HDAC inhibitor targeted to histones) tool to allow targeted HDAC inhibition. We will target an HDAC1 inhibitor (a histone tail peptide) specifically to repressed loci in the genome of HDAC1-overexpressing HEK 293T cells. To understanding the transcriptional consequences of targeted and untargeted HDAC1 inhibition, the CRISTONE effects will be compared to those of a new fluorescent chemical probe capable of inhibiting nuclear HDACs. To assess the cellular phenotypic outcome, we will test the genome-wide cellular effects on transcription and chromatin accessibility, giving insights into the specific effects of genomic, targeted HDAC inhibition.

Keywords: hdac inhibitor,crispr,chromatin remodeling,histone acetylation,chemical probe,epigenetic targets
Goal-directed learning of the statistical structure of the environment (RELEARN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-01
End date: 2022-12-31
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: CLOSED

Learning the statistical buildup of the environment serves the purpose of making good decisions, thus what regularities humans learn and what ones they neglect depends on the relevance towards maximizing reward. Recent studies characterise reward-based modulation of feature representations built by humans and animals both on the behavioural and neural level, but the effect of reward on learning higher-order environmental statistics is unknown. Our hypothesis is that humans do not learn to represent feature co-occurrence statistics if it does not help to predict reward due to resource constraints on computation and storage. We propose a mathematical framework based on Bayesian hierarchical modelling and reinforcement learning to predict the modulatory effect of reward on learned representations. We will test the predictions of the model in a series of experiments where humans need to learn to associate precisely controlled statistical aspects of a naturalistic simulated environment to reward both in the lab and online, in reactive and planning-based tasks. Additional to behaviour, the model will predict the structure of neural representations and their changes over the course of the experiment as well. We will test those predictions using magnetoencephalography during the learning phase of the experiments and decoding analysis to compare model variables to neural responses. The results will contribute to the understanding of representational learning in humans, with potential implications in psychiatry and economics as well as supply the community with novel analytical tools and data. The unique mentoring at the host institution together with the extensive training program including international visits to world-leading collaborators will establish my independent research program in computational neuroscience.

Keywords: reinforcement learning,representational learning,statistical learning,bayesian brain,hierarchical perception,behavioural measurement,magnetoecephalography,neural representations
IP1 Traction TD1 and Brakes TD5 – Phase 2 (PINTA2)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Research and Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Spain,Germany,Germany,Germany,Germany,Spain,Italy,Hungary,Sweden,France
Call: Development of technology demonstrators for the next generation of traction systems and adhesion management systems (H2020-S2RJU-CFM-2018, 2018)
Start date: 2018-09-01
End date: 2021-02-28
Duration (months): 30.0
Total project cost (EUR): 18115130.36
EU funding (EUR): 12680591.25
Participants: 16
Project status: CLOSED

The PINTA2 Project (IP1 Traction TD1 and Brakes TD5 – Phase 2) will address the two key topics highlighted in the Shift2Rail Call topic S2R-CFM-IP1-01-2018 – Development of concepts towards the next generation of traction systems and management of wheel/rail adhesion, namely Traction and Adhesion Management. PINTA2 will continue, fully in line with PINTA Phase1, to work on Traction & Adhesion improvements of seven technical and economical KPIs of the Traction system that have been agreed and defined in PINTA (fully in line with S2R KPIs). These performances will be improved on five different train applications having different constraints, needs and specificities, from tramway to HST, including metro, sub-urban, regional trains. In particular, Traction sub-project will address the following KPIs: 1) Line capacity increase through weight, volume and noise savings of Traction equipment. 2) Reduction of Maintenance costs via higher reliability/availability and optimized for maintenance Traction components. 3) Railway system LCC reduction via higher energy efficiency and optimized capital cost of the Traction systems. On Brakes Adhesion side, the work will lead to the achievement of a number of important objectives such as · higherTRL levels of improvement of braking degradation limit in poor adhesion condition · Management of all adhesion conditions in a way that brake distances are optimized · Improvement of the overall train safety, which relies substantially on the management of the wheel/rail contact · Reduction of wheel Life-Cycle-Costs (LCCs) through optimized wheel/rail contact in braking The activities will contribute in developing new performance solutions for Adhesion. The work done in PINTA2 will consist in higher achievement ( up to TRL6) to prepare the final Phase3 work and future TRL7 demonstration on trains, at least Metro, Regional and HST expected around 2021-22.

Keywords: sic traction development,driven independently motor for high speed train,noise methodology and tools,reliability,availability and smart maintenance,traction virtual validation,brakes adhesion mode
Secure Management Platform for Shared Process Resources (SHAREBOX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Spain,Spain,Germany,Spain,Switzerland,Türkiye,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Energy and resource management systems for improved efficiency in the process industries (H2020-SPIRE-2015, 2015)
Start date: 2015-09-01
End date: 2019-08-31
Duration (months): 48.0
Total project cost (EUR): 5910047.5
EU funding (EUR): 5416544.75
Participants: 17
Project status: CLOSED

To pave the way forward for IS as a solution for more efficient processing and energy systems for the process industry, we will develop a secure ICT platform (SHAREBOX) for the flexible management of shared process resources that will provide plant operations and production managers with the robust and reliable information that they need in real-time in order to effectively and confidently share resources (plant, energy, water, residues, and recycled materials) with other companies in a symbiotic eco-system. A suite of new analysis and optimisation tools for flexible energy use and material flow integration will be developed for optimising symbiosis among companies. These tools will be based on input- output (IO) modelling for resource (waste and energy) supply-demand matching and process efficiency analysis (to understand physical and technological conditions), game theoretical (GT) approach for integrating company behaviour in cost-, benefit-, and resource-sharing (to understand economic conditions), and agent-based modelling (ABM) for designing the (economic, environmental, and social) optimal symbiotic network (to have the holistic optimum). The outputs from the SHAREBOX controller will provide plant and operations managers with commands for actions to be taken and/or recommendations for decision support. It will be ensured that all commands and recommendations a) fulfil plant operations requirements, b) are within the constraints of any contractual obligations, c) are in compliance with all regulatory thresholds, and d) deliver optimal impacts in terms of cost/savings and ecological footprints. The historical data that is generated by the SHAREBOX platform will be processed by data mining tools that will provide the production/process BIG DATA for symbiotic shared resources optimisation. The platform will be co- created, implemented and tested at 4 demo locations in EU, using realistic industrial streams and process conditions.

Keywords: industrial symbiosis,intelligent decision support tools,secure encrypted platform
THE NANO EYE DEVICE (NED- Nano Eye Device)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Italy
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2015, 2015)
Start date: 2015-09-01
End date: 2016-01-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The project, named NED (Nano Eye Device), hereinafter referred as “NED”, aims at developing a fully automated, small size, lightweight, self-powered and portable optical system for imaging at micro/nano dimensional range, with a field of view between 0,5 millimeters down to a pixel size of 50 nanometers. NED is automated in XYZ axis movement and has a two-way (input/output) interface, via LAN connectivity (USB backup connection anyway available), with any portable (and/or desktop) device, like tablets, smartphones, HDMI TVs screens and PCs. Traditional optical microscopes aren’t able to operate at nanometric level, so NED can operate in the area between low cost traditional microscopes and bigger, more costly and very sophisticated laser microscopes. Thanks to an innovative patented optical-laser coupling, NED will be able to record pictures and videos even at nanoparticles size level, from any biological (and non biological) sample put on a standard microscope glass coverslip. So it can be profitable used with optical biosensor for virus detection. The captured data will be then made available in real-time to any external imaging device over any TCP/IP data network, locally and remotely (live imaging). Thanks to its internal micro-computer, NED is a powerful portable device, thus representing a key enabling technology (KET) for anyone working on clinical microscopy and optical biosensors, for example thanks to the possibility to quickly and easily display specific parameters. NED’s flexible and simplified design also offers the possibility to adapt its micro and nanometric visualization capabilities to several different industry and market applications, including on-line monitoring of biological processes, pharmaceutical sector, micro-nanocode based counterfeiting applications, food certification and traceability quick visual inspection of biological samples either in “outdoor” (i.e. first-aid) or in “strategic” (i.e.: bioterrorism prevention) environments.

Keywords: optical microscope laser nano technology clinical biosensing imaging wifi remote diagnosis living,imaging
Endolysosomal-mitochondria crosstalk in cell and organism homeostasis (EndoMitTalk)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Spain
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-03-01
End date: 2023-02-28
Duration (months): 72.0
Total project cost (EUR): 1498625.0
EU funding (EUR): 1498625.0
Participants: 2
Project status: CLOSED

For many years, mitochondria were viewed as semiautonomous organelles, required only for cellular energetics. This view has been displaced by the concept that mitochondria are fully integrated into the life of the cell and that mitochondrial function and stress response rapidly affect other organelles, and even other tissues. A recent discovery from my lab demonstrated that mitochondrial metabolism regulates lysosomal degradation (Cell Metabolism, 2015), thus opening the way to investigate the mechanism behind communication between these organelles and its consequences for homeostasis. With this proposal, we want to assess how mitochondrial crosstalk with endolysosomal compartment controls cellular homeostasis and how mitochondrial dysfunction in certain tissues may account for systemic effects on the rest of the organism. EndoMitTalk will deliver significant breakthroughs on (1) the molecular mediators of endolysosomal-mitochondria communication, and how deregulation of this crosstalk alters cellular (2), and organism homeostasis (3). Our central goals are: 1a,b. To identify metabolic and physical connections mediating endolysosomal-mitochondria crosstalk; 2a. To decode the consequences of altered interorganelle communication in cellular homeostasis 2b. To study the therapeutic potential of improving lysosomal function in respiration-deficient cells; 3a. To assess how unresolved organelle dysfunction and metabolic stresses exclusively in immune cells affects organism homeostasis and lifespan. 3b. To decipher the molecular mediators by which organelle dysfunction in T cells contributes to age-associated diseases, with special focus in cardiorenal and metabolic syndromes. In sum, EndoMitTalk puts forward an ambitious and multidisciplinary but feasible program with the wide purpose of understanding and improving clinical interventions in mitochondrial diseases and age-related pathologies.

Keywords: mitochondria,endolysosomal system,interorganelle communication,t lymphocytes,inflammaging,cardiorenal syndrome,metabolic disorder,age associated diseases
Removing of biogenic amines of the wine by selective adsorption on functionalized porous solids (AMINE_REMOVAL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-01
End date: 2018-05-31
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

The presence of biogenic amines (BA) (histamine, putrescine, cadaverine, etc) is usual in fermented beverages such as wine. Due to the toxicity of these BA, some countries have established recommendations concerning the maximum levels allowed in wines. Taking account the difficulty of controlling the production of BA during winemaking, the removal of them from finished wines avoiding the modification of the chemical composition related with the wine quality is a great challenge considering the complexity of the wine chemical composition and its organoleptic characteristics. This multidisciplinary project (AMINE_REMOVAL) presents an innovative approach based on the design of functionalized mesoporous materials (according with the size of biogenic amines) with specific functional groups on the surface to remove selectively biogenic amines from wine with a minimum effect on its organoleptic characteristics. This project includes the synthesis of materials, a deep study of the effects of the materials in synthetic and real wines at chemical and sensorial level, and the application to real wines in a pilot-scale plant. AMINE_REMOVAL represents an important step in the strategy to tackle the problem of the presence of biogenic amines in wine. Thus, obtaining a suitable method to remove the amines from wines will have a great impact not only on the quality of the wines, but also on the possibility to establish a maximum concentration of biogenic amines in wines by the European Union in its food security policies in order to protect the consumer. This project fits in one of the society challenges of the European 2020 strategies (food safety and quality, productive and sustainable farming, sustainability of natural resources, marine and maritime research).

Keywords: functionalised porous solids,wine,biogenic amines,food safety and quality,organoleptic quality
Race to the bottom? Family labour, household livelihood and consumption in the relocation of global cotton manufacturing, ca. 1750-1990 (TextileLab)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-10-01
End date: 2024-03-31
Duration (months): 66.0
Total project cost (EUR): 1999250.0
EU funding (EUR): 1999250.0
Participants: 1
Project status: SIGNED

Globalization and the shift of industries and jobs to low-wage countries are topical political issues, but have deep historical roots. For long, cotton manufacturing has been central in global trade and industrial relocation. Textile production has existed almost everywhere, but its major export centres have relocated in the past 250 years, notably from Asia to Europe/the US, then back to Asia. When and why these shifts occur is however still poorly understood. Reducing labour costs has been argued to be central in this ‘race to the bottom’, but this does not explain why textile production was resilient in some regions and periods, and not in others. This project explores the macro-economic global relocation of textile production from a micro-level perspective: households’ labour and consumption decisions. It proposes an in-depth comparative study of changes in labour allocation and consumption at the household level, to deepen macro-level studies on global textile production. Its main question is to what extent, and how, gender divisions of work, households’ multiple livelihood strategies, and local consumption patterns have influenced the continuation and disappearance of textile manufacturing over time and space? Its empirical contribution is a systematic long-term global comparison of nominal and real textile wages in the context of total household income. Its methodological innovation is to comparatively study labour costs, skill formation and income over time from the micro- perspective of the household, using quantitative and qualitative approaches from several academic fields. Its analytical value is to study interactions between causal mechanisms on the macro-economic level (markets, institutions) and the location of textile manufacturing, with households’ production and consumption choices. This lends workers and households the agency that most studies have overlooked, thus offering new explanations for the global division of labour.