Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Redwave: the future of blood pressure measurement (Redwave)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Redwave is a breakthrough oscillometric solution which measures cBP, by combining a regular homecare BP monitor, with an algorithm, which uses the oscillating pressure curves of any BP monitor conducted in inflating and deflating process as input signals without any changes in the pumping protocol or in the hardware. The algorithm is based on an advanced development of Pulse Wave Analysis, a method already used in clinics and specialized practices which is matching the requirements e.g. in robustness and accuracy, of the non-controlled environment as it typically exists in home care measurements. For this reason, it enables the measurement of cBP in home care devices for the first time. It is the only solution which can be operated in a standard BP monitor without applying any changes to the BP monitor, because it detects the relevant information within the existing signal and processes this information. End users of the solution are people suffering from hypertension: they need a solution to help them manage their condition: in Europe, there are approximately 85M potential users of the solution. After receiving requests to use the algorithm in medical cohort trials, Redwave has a clear route to market entry by the end of 2018. The company is also aiming to increase its product portfolio with another algorithm for wrist BP devices by 2019, as it wants to continue developing R&D actions. From these efforts, new market opportunities will be assessed as the company's goal is to develop an entire family of algorithms around one core, which can be used in various devices and provide a variety of medical parameters to the users.

Keywords: cardiovascular diseases,central blood pressure,prevention
Palaeoglaciological advances to understand Earth’s ice sheets by landform analysis (PALGLAC)

Framework: Horizon 2020 — 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, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 2425298.75
EU funding (EUR): 2425298.75
Participants: 1
Project status: SIGNED

Ice sheets regulate Earth’s climate by reflecting sunlight away, enabling suitable temperatures for human habitation. Warming is reducing these ice masses and raising sea level. Glaciologists predict ice loss using computational ice sheet models which interact with climate and oceans, but with caveats that highlight processes are inadequately encapsulated. Weather forecasting made a leap in skill by comparing modelled forecasts with actual outcomes to improve physical realism of their models. This project sets out an ambitious programme to adopt this data-modelling approach in ice sheet modelling. Given their longer timescales (100-1000s years) we will use geological and geomorphological records of former ice sheets to provide the evidence; the rapidly growing field of palaeoglaciology. Focussing on the most numerous and spatially-extensive records of palaeo ice sheet activity - glacial landforms - the project aims to revolutionise understanding of past, present and future ice sheets. Our mapping campaign (Work-Package 1), including by machine learning techniques (WP2), should vastly increase the evidence-base. Resolution of how subglacial landforms are generated and how hydrological networks develop (WP3) would be major breakthroughs leading to possible inversions to information on ice thickness or velocity, and with key implications for ice flow models and hydrological effects on ice dynamics. By pioneering techniques and coding for combining ice sheet models with landform data (WP4) we will improve knowledge of the role of palaeo-ice sheets in Earth system change. Trialling of numerical models in these data-rich environments will highlight deficiencies in process-formulations, leading to better models. Applying our coding to combine landforms and geochronology to optimise modelling (WP4) of the retreat of the Greenland and Antarctic ice sheets since the last glacial will provide ‘spin up’ glaciological conditions for models that forecast sea level rise.

Keywords: numerical and mathematical modelling,machine learning
Investigating the Activity of transposon Derived Regulatory Sequences in the placenta (InvADeRS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Aberrant epigenetic regulation of placental function is implicated in several complications of pregnancy, such as preeclampsia, recurrent pregnancy loss and fetal growth restriction. Notably, the placenta has a unique epigenetic landscape, permissive for the activity of transposable element (TE) derived DNA sequences. TEs are often co-opted by the host genome as cis-regulatory elements, driving tissue- and species-specific gene expression programs. Indeed, TEs contribute many placental-specific enhancers in mouse trophoblast. However, the presence and role of a similar TE-derived regulatory network has not been explored in human trophoblast. As TEs are highly species-specific, such a network in humans would be expected to regulate species-specific placental characteristics, such as the deep interstitial invasion unique to great apes. TE-derived regulatory elements may therefore be important for placental homeostasis and be involved in diseases characterised by aberrant placental invasion. I propose to map TE-derived cis-regulatory sequences in human trophoblast ex vivo using their histone modification signatures. I will assess the regulatory potential of candidate TEs through transcriptomic analyses and motif analysis to reveal transcription factor binding sites, highlighting promising candidates of importance in the human placenta. I will then directly test the function of top TE candidates using CRISPR-Cas9 genome editing of the TEs in trophoblast in vitro, and measuring changes in expression of target genes. Finally, I will elucidate epigenetic and coding differences between complicated and normal control placentas at the functional regulatory TE loci I find, to identify correlations with disease. This project will provide a comprehensive analysis of an as-yet unexplored aspect of human placental epigenetic regulation, and potentially identify novel causes of common unexplained complications of human pregnancy.

Keywords: transposable elements,human placenta
Hydrogen pilot storage for large ecosystem replication (HYPSTER)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Germany,Norway,France,France,France,France,France,United Kingdom,United Kingdom
Call: Cyclic testing of renewable hydrogen storage in a small salt cavern (H2020-JTI-FCH-2020-1, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 15514301.73
EU funding (EUR): 4999999.0
Participants: 12
Project status: SIGNED

To prevent catastrophic climate change, we must rapidly shift to low carbon, renewable energies. Yet, 65% of Europe’s energy demand is still met by natural gas and other fossil fuels. Hydrogen provides solutions to several energy and climate problems. Geological hydrogen storage, like today’s natural gas storage, is needed to store variable renewable energies and flexibly provide green hydrogen mobility, industry and residential uses. HYPSTER aims to demonstrate the industrial-scale operation of cyclic H2 storage in salt caverns to support the emergence of the hydrogen energy economy in Europe in line with overall Hydrogen Europe road-mapping. The specific objectives are to: •Define relevant cyclic tests to be performed based on modelling and the needs of emerging hydrogen regions across Europe •Demonstrate the viable operation of H2 cyclic storage for the full range of use-cases of emerging European hydrogen regions •Assess the economic feasibility of large-scale cyclic H2 storage to define the roadmap for future replication across the EU •Assess the risks and environmental impacts of H2 cyclic storage in salt caverns and provide guidelines for safety, regulations and standards •Commit at least 3 companies to using the hydrogen storage and 3 potential sites to replicate the cyclic hydrogen storage elsewhere in Europe on a commercial-scale by the end of the project HYPSTER will pave the way towards replication with the target to go below 1€/kg for H2 storage cost for the potential 40 TWh salt cavern storage sites in Europe. The project coordinator STORENGY will massively invest for the upscaling of Europe’s first large-scale, cyclic salt cavern in operation by 2025 and 3 more targeted by 2030. HYPSTER brings together 9 European partners including 2 RTOs for technology development, and 6 industries including 2 SME, plus 1 public-private cluster association to ensure maximum dissemination and uptake of HYPSTER results.

Keywords: salt cavern,hydrogen storage,underground hydrogen storage,hydrogen cyclic storage,large ecosystem,renewables integration,sector coupling,energy system resiliency
Camelina & crambe Oil crops as Sources for Medium-chain Oils for Specialty oleochemicals (COSMOS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Spain,Germany,Poland,Greece,Lithuania,Poland,France,France,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Renewable oil crops as a source of bio-based products (H2020-ISIB-2014-2, 2014)
Start date: 2015-03-01
End date: 2019-08-31
Duration (months): 54.0
Total project cost (EUR): 10811197.5
EU funding (EUR): 10811197.5
Participants: 20
Project status: CLOSED

The COSMOS proposal aims to reduce Europe’s dependence on imported coconut and palm kernel oils and fatty acids and castor oil as sources for medium-chain fatty acids (MCFA, C10–C14) and medium-chain polymer building blocks. These are needed by the oleochemical industry for the production of plastics, surfactants, detergents, lubricants, plasticisers and other products. In COSMOS, camelina and crambe will be turned into profitable, sustainable, multipurpose, non-GMO European oil crops for the production of oleochemicals. Seed properties will be screened and optimised through genetic techniques aiming at high yield, low resource inputs, optimization of the value generated from vegetative tissues and fatty acid profiles adapted to industrial needs. Large-scale field trials will be performed at different locations in Europe to assess the potential of the crops in terms of cultivation practices, seed yield, oil content, ease of harvesting, and resource inputs. Extracted oils will be fractionated into various fatty acid types (monounsaturated versus polyunsaturated) by selective enzyme technologies and extraction processes. The monounsaturated long-chain fatty acids so obtained will be converted to MCFA and high-value building blocks for bio-plastics and flavour and fragrance ingredients through chemical and enzymatic chain cleavage processes. The ω3-rich PUFA fraction will be purified for use in food and feed ingredients. Vegetative tissues such as straw, leaves and press cake will be fed to insects producing high-value proteins, chitin and fats. Insect fats and proteins will be isolated and prepared for use in food and feed products. The overall economic, social and environmental sustainability as well as life cycle of the whole value chain will be assessed. The impact of the project for Europe will be assessed in terms of value chain potentials for value creation and number of jobs that can be created.

Keywords: oilseed optimization,field trials,seed extraction,chemical and enzymatic oil conversion,oleochemical building blocks
The evolutionary epidemiology of commensal bacteria: the case of Escherichia coli from 1980 to 2025 (EvoComBac)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 1499893.0
EU funding (EUR): 1070018.0
Participants: 2
Project status: SIGNED

Understanding the rapid adaptation of infectious pathogens is crucial to design better management policies and anticipate future changes. Yet, existing models often fail to explain these dynamics. I will address this major challenge of evolutionary biology in the bacterial species Escherichia coli. E. coli is a commensal of the human gut and an opportunistic pathogen causing infections responsible for more than a million deaths worldwide per year. E. coli has rapidly evolved over the last four decades. From the 1980s, starting from an almost fully sensitive population, multiple antibiotic resistances have emerged and stabilised at an intermediate frequency. Concomitantly, virulence, the propensity to cause infections, increased. The evolutionary processes causing these changes are largely unknown. To elucidate the drivers of the evolution of commensal E. coli, I will develop a prospective cohort of 200 longitudinally followed healthy volunteers—the largest cohort of its kind. We will analyse these data in the light of an integrative statistical and mathematical framework describing the ecology of E. coli from the within-host to the population level. These models will generate testable predictions on the evolution of genomic variants determining virulence, resistance, and colonisation ability. These predictions will be validated on an exceptional existing dataset composed of 1000 bacterial genomes sampled from healthy human hosts from 1980 to 2025 encompassing around 100,000 generations of bacterial evolution. This original interdisciplinary framework draws from epidemiology, evolutionary biology and genomics for a better understanding of the evolution of bacteria. This project is a step towards better predictions of evolutionary dynamics and better stewardship policies for infectious pathogens.

Keywords: adaptation,virulence,drug resistance,bacteria,mathematical modelling
TRAvelling Ceramic Technologies as markers of human mobility in the Aegean (TRACT)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 164653.2
EU funding (EUR): 164653.2
Participants: 1
Project status: CLOSED

The main aim of TRACT is to demonstrate that the informed and interdisciplinary study of ancient pottery can shed new light on past human mobility. Based on the premise that the spread of technology involved in pottery making requires the physical movement of people, the project will adopt an inter-disciplinary methodology designed to investigate instances of technological transfer and hence mobility of potters. The methodology comprises macroscopic study of the vessel-forming methods in combination with petrographic and chemical analysis of pottery and raw material samples. An important addition is the study of modern instances of potters’ mobility in the Aegean. Altogether, this represents a novel approach, which will be employed to a specific study focused on potters from the island of Aegina during the Late Bronze Age. TRACT will investigate the spread of a particular pottery tradition developed on the island of Aegina along the Euboean Gulf, an important corridor that facilitated movement of goods and people. Furthermore, the chosen case study will aim to shed light on the underpinnings of such movement, its duration, scale, as well as interaction of potters with new landscapes and receiving communities. Therefore, TRACT will contribute to the current debate on mobility by presenting thoroughly researched case study of craftsmen mobility, and elaborate a coherent methodology that can be universally applied. The choice of the Fitch Laboratory of the British School at Athens as a hosting institution will not only enable a high-level training through research but also, due to the supervisor’s interest in mobility of potters’ mobility and previous research on pottery production on the island of Aegina, it constitutes a perfect match that will provide a substantial boost to career opportunities for the experienced researcher and strengthen the position of the Laboratory as a centre of excellence for the study of craftspeople mobility.

Keywords: mobility,potters mobility,late bronze age archaeology,aegean archaeology,pottery studies,petrographic analysis,cha ne op ratoire,mycenaean period
Impact of RNA modifications on neuronal fate (Rn7SKmod)

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: 2021-07-01
End date: 2023-06-30
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: SIGNED

The Epitranscriptome is the assembly of over 170 chemical RNA modifications that play fundamental roles in the majority of cellular processes. RNA modifying enzymes and proper control of neuronal cell fate are essential for brain development and dysfunction in any of these processes results in severe neurodevelopmental disorders. To date, the role of non-coding RNAs (ncRNAs) as key regulators of sophisticated molecular pathways is becoming increasingly clear. A key regulatory ncRNA that modulates the transcriptional output of RNA polymerase II is Rn7sk. Other abundant ncRNAs, like transfer RNAs and ribosomal RNAs, are highly modified; yet the modifications occurring in Rn7sk are largely unknown. In this proposal, I aim to investigate the Rn7sk RNA modification status and the impact of these modifications on neuronal cell fate and brain development. To accomplish this, I will; i) Characterize Rn7sk RNA modifications using a highly sensitive RNA mass spectrometry approach and evaluate the impact of selected modifications in recruiting protein binding partners using stable isotope labelling by amino acids in cell culture (SILAC) based mass spectrometry; ii) Determine the biological function of selected Rn7sk modifications during neuronal differentiation using genetically manipulated embryonic cell lines; iii) Investigate the role of Rn7sk during brain development using genome-wide sequencing technologies and a forebrain-specific Rn7sk knock-out mouse model. Results stemming from this project will reveal several novel aspects about how neuronal fate is controlled by tiny RNA modifications. My ultimate ambition is to establish my own laboratory and become an independent research leader in the field of Epitranscriptomics. This proposal, with the support from the experienced Prof Frye and the excellent host institute, DKFZ, is key for me to reach my goal.

Keywords: epitranscriptomics,non coding rna,regulatory rna,gene regulation
What to expect when you are not expecting it: How implicit regularities drive attentional selection (LEARNATTEND)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2020-01-01
End date: 2025-12-31
Duration (months): 72.0
Total project cost (EUR): 2499875.0
EU funding (EUR): 2499875.0
Participants: 1
Project status: SIGNED

Extracting statistical regularities from the environment is one of the most fundamental abilities of any living organism. This type of learning is largely unconscious, unintentional, and implicit; it runs "in the background", both seeking and giving structure to the world around us; making it coherent, predictable and quickly manageable. Even though a lot is known about how statistical learning affects language acquisition, object recognition, motor learning, and decision making, only recently it became apparent that it plays a key role in attentional selection. Visual perception must be selective, as we are confronted with the massive amount of available sensory input. Statistical learning occurring often beneath the level of awareness provides structure to the environment uncovering the relations between objects in space and time. The proposed research program investigates the mechanisms underlying visual statistical learning (VSL) focusing on how, when and what information is extracted by the visual system. Through brain imaging we seek to understand how learning taking place in the medial temporal lobe (hippocampus), affects attentional representations within putative priority maps across the visual hierarchy. By means of EEG, we seek to connect hippocampal activity to the activations within the spatial priority map which ultimately controls attentional selection. By means of single cell recording in humans we determine at a cell level how statistical learning develops over time. To understand the mechanism, we analyse individual differences in VSL and relate this to visual working memory capacity and attentional selection in psychopathy. The proposed research will have a large impact on the study of cognition, learning, and memory.

Keywords: attentional selection,statistical learning