Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
“tRNA actors” heterogeneity: a new identifier of cancer stem cells (tRNAtoGO)

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: Belgium
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-01-31
Duration (months): 60.0
Total project cost (EUR): 1499988.0
EU funding (EUR): 1499988.0
Participants: 1
Project status: SIGNED

Cells integrate internal and external stimuli by continuously adapting their transcription and translation. tRNAs are heterogeneous and highly modified molecules necessary to correctly translate mRNAs into proteins. Even though their discovery goes back to the late 50s, it is only in the last years that their active role in regulating translation has started to be highlighted both in health and disease. Cancer stem cells (CSC) are a small population of transformed cells able to sustain tumor growth and responsible for metastasis and drug resistance. The incredible plasticity and genetic heterogeneity of CSC make it extremely difficult to find global markers and/or molecular footprints uniquely expressed by these cells. In the tRNAtoGO project, I postulate that the expression of a specific signature of tRNA molecules permits the establishment of onco-proteomes therefore sustaining cancer stem cells transformation. Therefore, the identification of a tRNA permissive signature might be predictive of the population of origin of CSC. To prove this hypothesis, I will use a combination of unbiased sequencing approaches, a genetic CRISPR-Cas9 based screen, mouse models and functional assays that will identify, in the intestine, the Wnt-driven transformation permissive tRNAs and associated modification enzymes signature and their biological role. In conclusion, this project aims to tackle the CSC concept from a new and extremely innovative prospective: I want to describe the cellular origin of CSC as a population harboring a permissive-tRNA signature for driving mutations.

Keywords: trna,mrna translation
Andreev qubits for scalable quantum computation (AndQC)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Switzerland,Hungary,Sweden,France,Netherlands,Denmark
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2018)
Start date: 2019-04-01
End date: 2024-03-31
Duration (months): 60.0
Total project cost (EUR): 3636822.5
EU funding (EUR): 3484107.5
Participants: 8
Project status: SIGNED

Our goal is to establish the foundations of a radically new solid state platform for scalable quantum computation, based on Andreev qubits. This platform is implemented by utilizing the discrete superconducting quasiparticle levels (Andreev levels) that appear in weak links between superconductors. Each Andreev level can be occupied by zero, one, or two electrons. The even occupation manifold gives rise to the first type of Andreev qubit, which has recently been demonstrated by some of the consortium members. We will characterize and mitigate the factors limiting the coherence of this qubit to promote these proof of concept experiments towards a practical technology. The odd occupation state gives rise to a second type of qubit, the Andreev spin qubit, with an unprecedented functionality: a direct coupling between a single localized spin and the supercurrent across the weak link. Further harnessing the odd occupation state, we will investigate the so far unexplored scheme of fermionic quantum computation, with the potential of efficiently simulating electron systems in complex molecules and novel materials. The recent scientific breakthrough by the Copenhagen node of depositing of superconductors with clean interfaces on semiconductor nanostructures opened a realistic path to implement the Andreev qubit technology. In these devices, we can tune the qubit frequency by electrostatic gating, which brings the required flexibility and scalability to this platform. We will demonstrate single- and two-qubit control of Andreev qubits, and benchmark the results against established scalable solid-state quantum technologies, in particular semiconductor spin qubits and superconducting quantum circuits. To carry out this research program, we rely on the instrumental combination of experimentalists, theorists and material growers, together having the necessary expertise on all aspects of the proposed research.

Keywords: andreev bound states,quantum bits,superconducting nanocircuits,electron spins in solids,induced superconductivity in semiconductors,high mobility heterostructures,spin orbit coupling
TEStabiliTy pAttern-driven weB appLication sEcurity and privacy testing (TESTABLE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Germany,Ireland,Italy,Italy,Germany,France,France
Call: Intelligent security and privacy management (H2020-SU-DS-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 4835135.0
EU funding (EUR): 4835135.0
Participants: 10
Project status: SIGNED

TESTABLE addresses the grand challenge of building and maintaining modern web-based and AI-powered application software secure and privacy-friendly. TESTABLE intends to lay the foundations for a new integration of security and privacy into the software development lifecycle (SDLC), by proposing a novel combination of two metrics to quantify the security and privacy risks of a program, i.e., the code testability and vulnerable behavior indicators. Based on the novel concept of "testability patterns," TESTABLE will empower the SDLC actors (e.g., software/AI developers, managers, testers, and auditors) to reduce the risk by building better security and privacy testing techniques for classical and AI-powered web applications, and removing or mitigating the impact of the patterns causing the high-risk levels. To achieve these goals, TESTABLE will develop new algorithms, techniques, and tools to analyze, test, and study web-based application software. First, TESTABLE will deliver algorithms and techniques to calculate the risk levels of the web application's code. Second, TESTABLE will provide new testing techniques to improve software testability. It will do so with novel static and dynamic program analysis techniques by tackling the shortcomings of existing approaches to detect complex and hard-to-detect web vulnerabilities, and combining ideas from the security testing and adversarial machine learning fields. TESTABLE will also pioneer the creation of a new generation of techniques tailored to test and study privacy problems in web applications. Finally, TESTABLE will deliver novel techniques to assist software/AI developers, managers, testers, and auditors to remove or mitigate the patterns associated with the high risk. TESTABLE relies on a long-standing team of nine European partners with strong expertise in security testing, privacy testing, machine learning security, and program analysis, and who strive for excellence with a proven strong track record and impact in the security communities.

Keywords: security testing,software testability,web application security,static analysis,dynamic software,analysis,privacy
DEtermination of Orphan Receptor PHysiological Agonists and sigNals (DE-ORPHAN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Denmark
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-05-01
End date: 2020-04-30
Duration (months): 60.0
Total project cost (EUR): 1499926.25
EU funding (EUR): 1499926.25
Participants: 1
Project status: CLOSED

G protein-coupled receptors make up both the largest membrane protein and drug target families. DE-ORPHAN aims to determine the close functional context; specifically physiological agonists and signaling pathways; and provide the first research tool compounds, of orphan peptide receptors. Determination of physiological agonists (aka de-orphanization), by high-throughput screening has largely failed. We will introduce a new research strategy: 1) developing highly innovative bioinformatics methods for handpicking of all orphan receptor targets and candidate ligand screening libraries; and 2) employing a screening technique that can measure all signaling pathways simultaneously. The first potent and selective pharmacological tool compounds will be identified by chemoinformatic design of focused screening libraries. We will establish the ligands’ structure-activity relationships important for biological activity and further optimization towards drugs. The first potent and selective Gs- and G12/13 protein inhibitors will be designed by structure-based re-optimization from a recent crystal structure of a Gq-inhibitor complex, and applied to determine orphan receptor signaling pathways and ligand pathway-bias. They will open up for efficient dissection of important signaling networks and development of drugs with fewer side effects. DE-ORPHANs design hypotheses are based on unique computational methods to analyze protein and ligand similarities and are founded on genomic and protein sequences, structural data and ligands. The interdisciplinary research strategy applies multiple ligands acting independently but in concert to provide complementary receptor characterization. The results will allow the research field to advance into studies of receptor functions and exploitation of druggable targets, ligands and mechanisms. Which physiological insights and therapeutic breakthroughs will we witness when these receptors find their place in human pharmacology and medicine?

Keywords: gpcr,g protein coupled receptor,computational ligand design,computer aided drug design,computational chemistry,chemical synthesis,structure based drug design,chemoinformatics
Sustainable Regional Supply Chains for Woody Bioenergy (BioRES)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Coordination and support actions
Countries involved: Germany,Austria,Germany,Serbia,Belgium,Bulgaria,Slovenia,Finland,Croatia
Call: Market uptake of existing and emerging sustainable bioenergy (H2020-LCE-2014-3, 2014)
Start date: 2015-01-01
End date: 2017-06-30
Duration (months): 30.0
Total project cost (EUR): 1865411.25
EU funding (EUR): 1865411.25
Participants: 10
Project status: CLOSED

BioRES is proposed by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) in cooperation with the European Biomass Association, the Agricultural Chamber of Styria/Austria, C.A.R.M.E.N marketing network for renewable resources (Germany), the Finish Forest Technology Centre METLA, regional energy agencies in Croatia and Slovenia, and the national biomass associations in Bulgaria and Serbia. BioRES aims at introducing an innovative concept of Biomass Logistic and Trade Centres (BLTCs) in Serbia, Croatia, and Bulgaria on the basis of cooperation with technology leaders from Austria, Slovenia, Germany, and Finland. This will help increasing the demand for woody bioenergy products (processed fire wood, wood chips, wood pellets, and wood briquettes) in these countries and contribute to the achievement of EU targets set out in the RES Directive (2009/28/EC). BioRES identifies priority locations for new BLTCs, assesses regional potentials for the production and use of woody bioenergy products, and initiates local stakeholder dialogues involving both producers and potential users of woody bioenergy products (WP3). BioRES initiates the establishment of community-based investor groups, conducts feasibility studies and provides support for BLTC business plans as well as for sale agreements on supply and demand side, and helps for the start of operations of new BLTCs (WP4) on the basis of EU best practices (WP2). BioRES promotes local consumer information and awareness building (WP7) as well as the development (WP6) of local capacities at all stages along the regional supply chains for quality-controlled woody bioenergy products from sustainable forestry (WP5). Outcomes of BioRES will be exchanged with stakeholders in all EU28 Member States (WP8). The innovative concept for new BLTCs builds upon the results of numerous previous and on-going European programs, in particular BIOMASS TRADE CENTER II, FOROPA, SolidStandards and BIOREGIONS.

Keywords: woody bioenergy,biomass logistic and trade centre,supply chain management,sustainability criteria,quality assurance,local biomass,consumers,investments
Reappraising Middle Nubian Identity through Material Culture (INBETWEEN)

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: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-01
End date: 2021-01-14
Duration (months): 24.0
Total project cost (EUR): 178156.8
EU funding (EUR): 178156.8
Participants: 1
Project status: CLOSED

INBETWEEN is a theory-driven, comparative archaeological reassessment of the Middle Nubian cultures (C-Group, Pan-Grave, and Kerma) during the Second Intermediate Period in Egypt and Nubia (c. 1750-1500 BC). The project operates in the liminal spaces between the groups to re-evaluate their relationships with one another, asking how they are the same, how they are different, and if imposed modern cultural divisions are valid. Material culture takes the focus, and an analysis of the relevant chaînes opératoires using cultural phylogeny, entanglement, and border theory will identify shared or differing technological heritages that may reflect corresponding cultural relationships. The project challenges modern constructs of the Middle Nubian cultures as bounded cultural entities: how did the ancient Nubians perceive their own cultural boundaries? how fluid were they? A deep theoretical investigation of the processes driving cultural change will address questions of how and why cultural components crossed boundaries in certain situations, and what impact this had upon each group’s identity. INBETWEEN will be the broadest and most up-to-date survey of Middle Nubian material culture available. The acquisition of new skills via training in XRF-spectroscopy and RTI photography to analyse raw materials and technological processes will yield concrete evidence to support the outcomes. Research collaborations exploring the application of archaeological and anthropological theory will further expand my skillset in new directions, building my European network. The theoretical framework makes the project relevant to multiple disciplines, and the resulting monograph and publications will serve as a methodological case study for archaeologists and anthropologists alike. By examining the Middle Nubian cultures in their own right, the project breaks down the boundary between Egyptology and African studies, resituating the Middle Nubians into their broader northeast African context.

Keywords: nubian archaeology,african archaeology,middle nubian cultures,second intermediate period,material culture,border theory,cultural phylogeny
Seasonal Prediction of Fire danger using Statistical and Dynamical models (SPFireSD)

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: Environment and Geosciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-06
End date: 2019-11-04
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Wildfires have a great impact on the environment and can pose a threat to property and human lives and health. The occurrence of fire in natural vegetation is dependent on human activities and climate variability. In tropical areas such as the Amazon basin and Indonesia, wildfires are greatly affected by inter-annual fluctuations in tropical Sea Surface Temperatures (SSTs). During the El Niño events of 1997-1998 and 2015-2016, uncontrolled wildfires caused record impacts on health, transportation and the economy. The European countries of the Mediterranean basin are frequently plagued by drought episodes (e.g. during the summer of 2016), causing dangerous wildfires which result in deaths, health problems and economic losses. Seasonal climate prediction is a field which typically forecasts seasonal average precipitation and temperature anomalies with a few months lead time. The main sources of predictability are SSTs, soil moisture, snow cover and teleconnections with the tropics. Seasonal climate predictions are performed operationally in Europe and globally, and are used in fields such as agriculture, health, water management and energy. While some effort has been put into short-term forecasts of fire danger in Europe, there is currently no operational seasonal wildfire forecasting system for Europe and only a few for other continents. The goal of this project is to develop and assess seasonal fire prediction capability through a variety of complementary and innovative methods, with a focus on Europe, the Amazonian basin and Indonesia.

Keywords: wildfire,fire danger,seasonal climate prediction,drought,europe,tropics,enso
FUNGITAINER: Innovative Modular and Mobile Indoor Farm for Mushrooms and Substrate Production (FUNGITAINER)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The increasing recognition of mushrooms’ properties has boosted their consumption around the world but their production is naturally limited to the countries where environmental conditions are favourable or costly indoor facilities have been built up. The rest of the countries must import them. Due to their perishable nature, mushrooms are mostly transported once they have been processed (canned, dried or frozen) although consumption patterns suggest consumers’ preference for fresh product at the expense of processed one. On the other hand, growers who want to succeed in the sector encounter serious limitations, mainly due to the difficulty to have guaranteed a constant and cost-effective supply of substrate and the high initial investment costs. Due to the limited number of substrate producers, this product is delivered to a different country or even continent, increasing substrate’s final price and reducing growers’ profitability. Moreover, the investment required to build and operate an indoor fixed facility is impractical when the grower want to start with small productions. Hongo’s Biofactory has developed the Fungitainer systems: Fungitainer Substrate, for high-efficiency substrate production and the Fungitainer Grow, which provides the optimum controlled environment for growing any edible mushroom anywhere in the world (regardless of the outdoor conditions). Besides, substrate is produced making use of local agriculture and livestock waste, valorising these residues (in line with the Circular Economy approach). Thanks to Fungitainer modularity and low investment cost (90% cheaper than traditional solutions), the system adapts to meet the needs of small and large-scale growers. Investment of growers is recovered in 1.9 years. Fungitainer solution also includes support during the whole production process thanks to Hongo’s Biofactory extensive expertise. Hongo´s Biofactory expects to obtain an accumulated profit around 6M€ in 5 years, ROI of 3.3.

Keywords: mushrooms,substrate production,indoor farm system,biotechnology,mushroom growing anywhere,organic residues valorisation,circular economy,modular system,scalability
Language and Brain Rhythms (LaBRhythms)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2022-07-10
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

From womb to adulthood, our native language is known to shape our experience of speech. A major compound of the language to which an individual is exposed during his life is the temporal structure, or rhythm, of speech signals. Exposure to native language rhythms has been shown to strongly constrain the ability to understand and learn other languages. Yet, a comprehensive view of the processing of speech rhythms from a neural standpoint is still lacking. The LaBRhythms project will investigate the hypothesis that neural oscillations are instrumental in the processing of language-specific speech rhythms, and for the communication of speech information across brain areas. To test this, I will develop novel neuroimaging tools for analyses that will increase the spatial resolution of magnetoencephalography (MEG) to an unprecedented level, allowing for observation of neural oscillations at the laminar level in human data. The project will provide both strong theoretical and methodological advances. First, it will give new insights into the brain mechanisms of complex temporal information processing in speech. It aims in particular at reconciling the linguistic approaches in the study of speech rhythms, which emphasize the cross-linguistic variability in temporal information, with the prevailing neurophysiological framework of speech processing that for now only focused on the periodicities in the speech signal. Second, it will generate new tools for laminar MEG analysis. These tools will permit the investigation of theoretical questions on the communication between brain areas that could not be answered otherwise. For this project, I will benefit from the strong expertise of the Centre de Recherche en Neuroscience de Lyon (CRNL) in neuroimaging and neural oscillations research, where I will specifically receive training in technical and team-leadership skills, providing an ideal setting to perform cutting-edge research and grow as an independent researcher.

Keywords: speech,rhythm,temporal prediction,neural oscillations