Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Decoding the DNA damage signalling in C. elegans by proteomic analyses of ADP-ribosylation (InVivo_DDR_ADPR)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-04-01
End date: 2018-03-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Preservation of genome integrity and stability is critical for survival and propagation of individuals and species. Organisms have thus evolved rapid and efficient mechanisms -collectively termed the DNA damage response (DDR)- to combat threats posed by DNA damage. Among these, the post-translational modification (PTM) ADP-ribosylation (ADPR) plays a decisive role in effective DDR. Although much is known about the relevance of ADPR upon DNA injury, the underlying molecular mechanisms are still poorly understood and no systematic, unbiased proteome-wide study to determine ADPR targets in vivo has been conducted to date. The most challenging and innovative goal of this proposal is to profile in vivo ADP-ribosylated peptides during DDR in the well-established model system Caenorhabditis elegans by the combined application of advanced proteomic approaches. I will develop novel enrichment strategies that will allow me to confidently map for the first time all the sites of ADPR throughout the C. elegans proteome. I will take advantage of SILAN technology, which allows stable isotope labelling in C. elegans, to determine the quantitative profiles of thousands of ADPR sites during DDR. By bioinformatic analysis, I will select candidate proteins for further investigation of the biological role of DNA damage-induced ADPR. I will then test the biological impact of ADPR of these candidates through site-specific mutation of their identified modification sites. Finally, I will perform biochemical, molecular and functional experiments to study how ADPR alters the activity of these proteins and thereby characterize the mode of ADPR action. Understanding the regulatory networks that underlie such a complex biological process at the organism level will provide new insights for improved treatment of DNA damage-related diseases including cancer. This is an ambitious, innovative, cross-disciplinary project at the forefront of two exciting fields, biology and proteomics.

Keywords: adp ribosylation,c elegans
Safety Analysis of Concurrent Systems (SAFE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-04-01
End date: 2022-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Software faults that evade testing can have serious consequences, not sparing economic damages or human losses. Recent developments towards multi-core processors have led to the increased usage of concurrency to utilize the hardware's full potential. While helping to make software ever more capable, this further complicates the already laborious and time-consuming challenge of software testing. Not only tremendously increasing the computational effort needed to automatically find concurrency bugs, such errors prove to be especially tricky to find and fix even for professional software developers. Yet, currently the market does not provide a satisfying solution to addresses this challenge. The PoC project SAFE, however, offers a comprehensive, rigorous, and automated methodology for systematically finding errors in concurrent software. Based on state-of-the-art technology, an academic prototype developed as part of the ERC CoG SYMBIOSYS project has established the algorithmic applicability of the core methodology, already finding a number of bugs in real-world concurrent software. The project includes 5 tasks: (1) To establish the technical requirements for transitioning the prototype into a product, the required engineering tasks will be defined. (2) To complete core features and laying technical groundwork for commercialization, the technology will be engineered to serve a wider range of software. (3) To secure the exploitation strategy through a consolidated IP position, the legal framework for license agreements and IPR strategy will be laid. (4) To raise awareness for SAFE, the market niche to be targeted will be identified by completing a market analysis, including an account of the competitive landscape. (5) To validate commercial feasibility and create a business plan for exploitation beyond SAFE, various exploitation strategies will be evaluated, such as the foundation of a Softw.-as-a-Service spin-off; resulting in a business plan and a feasibility report.

Keywords: software analysis,safety,concurrency
Smart mmWave and MultiRATs for Multihop Vehicle-to-Everything (V2X) Communications in Connected and Autonomous Vehicles (SwiftV2X)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Malaysia,Thailand,Bulgaria,Greece,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2020, 2020)
Start date: 2021-12-01
End date: 2025-11-30
Duration (months): 48.0
Total project cost (EUR): 289800.0
EU funding (EUR): 289800.0
Participants: 6
Project status: SIGNED

The push for improved driving experience, including the ultimate goal of driverless vehicles, has fueled the development of Connected and Autonomous Vehicles (CAVs). Connectivity is an important enabler for CAVs, as it allows for autonomous vehicles to directly participate in the intelligent transportation system (ITS) and make collective intelligent decisions. 5G mobile networks play an important role in providing vehicular connectivity as mobile networks support mobility by default. However, the density of vehicles is high in urban areas that poses challenges for the support from mobile networks. Deploying ultra-dense small cells using millimetre wave (mmWave) communication is one promising solution since ultra-dense small cells deployment addresses the network capacity and mmWave addresses the interference arisen from the dense deployment. However, due to the relatively narrow footprint of a mmWave beam, using mmWave communication for fast moving vehicles requires careful allocation to utilise its potential and avoid selfishness in radio resource usage. This project sets an ambitious goal of designing smart and dynamic algorithms to manage mmWave beam allocations in CAV environments. The project first investigates solely on the mmWave beam allocations and proposes smart algorithm using both traditional optimisation technique for benchmarking and modern machine learning algorithms for practical operation. It then studies the radio resource allocation under multi radio access technologies (multiRATs) that is the likely deployment setup before the full mmWave small cell networks become practical in the future. Finally, our study is extended to vehicle-to-vehicle communication using mmWave that can support delay sensitive message exchanges and range extension. As experimentation needs expensive infrastructure, the foreseen secondments offer partners without infrastructure on their premises to test their design on other partners that possess the infrastructure.

Keywords: vehicle to everything v2x,connected and autonomous vehicles,machine learning,radio access technologies rats,non orthogonal multiple access noma
Protecting Small and Medium-sized Enterprises digital technology through an innovative cyber-SECurity framework (SMESEC)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Innovation actions
Countries involved: Spain,Israel,Spain,Switzerland,Greece,Romania,Greece,Poland,France,Netherlands
Call: Cyber Security for SMEs, local public administration and Individuals (H2020-DS-SC7-2016, 2016)
Start date: 2017-06-01
End date: 2020-05-31
Duration (months): 36.0
Total project cost (EUR): 5686309.31
EU funding (EUR): 3998922.0
Participants: 14
Project status: CLOSED

Small and Medium size Enterprises (SMEs) are an important driver for innovation and growth in the EU. SMEs also stand to gain the most from innovative technology, because it is complicated and costly for them to set-up and run ICT in the traditional way. Taking into account cyber-security, SMEs do not always understand all the risks and business consequences for the development of technologies without the adequate level of protection against cybercrime. The European Union Agency for Network and Information Security (ENISA) declares on the “Information security and privacy Standards for SMEs” study of 2016 that, despite rising concerns on information security risks, the level of SMEs information security and privacy Standard adoption is relatively low. SMESEC consortium is proposing to develop a cost-effective framework composed of specific cyber-security tool-kit to support SMEs in managing network information security risks and threats, as well as in identifying opportunities for implementing secure innovative technology in the digital market; for this consortium, it is important that SMEs do not only look at cyber-security as an obstacle, but also they understand the business opportunity beyond it. In this scenario, an international group of experts proposes SMESEC as a response to the cyber-security challenges for business companies with a limited background on cyber-security and a restricted budget. The SMESEC project will be developed in 36 months by a competitive consortium of 12 partners from 7 countries, which corresponds to a well-balanced structure, involving big companies, SMEs, research centres and universities. Despite the great diversity of entities within the proposal, SMESEC is an industry-oriented project, since the private companies will cover more than 73% of the total project costs, and will be led by a big company, ATOS, with many years of experience on project management and cyber-security.
CacheMire: Wireless Edge Caching Platform (CacheMire)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: France
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-06-01
End date: 2018-11-30
Duration (months): 18.0
Total project cost (EUR): 149682.86
EU funding (EUR): 149682.86
Participants: 1
Project status: CLOSED

Mobile data traffic sharply increases each year, due to the rich multi-media applications, video streaming, social networks, and billions of connected users and devices. This increasing mobile data traffic is expected to reach by 2018 roughly 60% of total network traffic. In this regard, caching contents at the edge of the network, namely at the base station and user terminals, is a promising way of offloading the backhaul (especially crucial in dense network deployments) and decreasing the end-to-end content access delays, since the requested contents become very close to the users. Therefore, caching has the potential to become the third key technique for wireless systems sustainability. The goal of this proof of concept is to realize a prototype of such an architecture which enables caching at the edge of the network, and called as “CacheMire”. In particular, we shall focus on development of the first version of CacheMire, which aims to 1) provide an application programming interface (API) to website developers (or content providers); 2) build a set of software/hardware tools to track/collect users' content access statistics under privacy constraints and regulations; 3) and design a storage unit/box for caching strategic contents (i.e., images, videos, files, news) at the base stations and access points. In addition, we aim to combine advanced physical layer techniques with caching so that resources in the uplink/downlink of next generation 5G wireless networks can be further optimized.

Keywords: edge caching,machine learning,wireless communications
A data-driven multiscale simulation of organogenesis (SIMBIONT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: 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,Spain
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-09-01
End date: 2021-08-31
Duration (months): 72.0
Total project cost (EUR): 2075054.99
EU funding (EUR): 1492803.81
Participants: 2
Project status: CLOSED

Organogensis is the process by which multiple different cell types grow, differentiate and interact with each other (both molecularly and physically) to create large complex structures with integrated functions, such as the heart, brain or limb. Understanding this process has enormous potential impact, both scientifically and medically. The SIMBIONT project represents both a grand technical challenge, and a fundamental scientific question. The grand technical challenge is to build the first ever multi-scale computer model of mammalian organogenesis, specifically limb development. This purpose of the model is to help us address the deep scientific question: How are the complex interactions at multiple scales (genes, molecules, cells and tissues) coordinated so as to build a carefully constructed 3D organ? So far, computer modelling has helped to understand some of the pieces of this puzzle, eg. morphogen gradients, or control of tissue growth. However, putting multiple pieces together into a single multi-scale simulation remains a challenge. We will use the latest state-of-the-art quantitative data-generation techniques (including Tomo-Seq and OPTiSPIM), to gather 3D data at multiple levels: gene expression patterns, cell signaling, cellular growth rates, intercalation patterns, and global tissue movements. In parallel we will develop a new multi-scale modeling framework which can integrate this quantitative data, to simulate both the molecular patterning and the mechanical growth of the developing limb bud. Doing so will allow us to ask new systems-level questions about (i) the molecular control of organ shape, (ii) coordination of patterning and growth, and (iii) the multi-scale robustness of the system. We will test the key predictions of the model experimentally (both with mouse mutants, and in vitro perturbations). SIMBIONT will serve as an example for modeling other complex multicellular processes in the future, eg. tissue engineering and regenerative medicine.

Keywords: multiscale modelling,gene regulatory network,organogensis,dynamic modelling,morphogenesis,spatial transcriptomics,limb develoment,finite element modelling
Empowering consumers to PREVENT diet-related diseases through OMICS sciences (PREVENTOMICS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive agri-food sector for a safe and healthy diet
Action type: Innovation actions
Countries involved: Spain,Italy,Spain,Spain,Italy,Poland,Greece,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,United Kingdom
Call: Personalized Nutrition (H2020-SFS-2018-1, 2018)
Start date: 2018-11-01
End date: 2022-04-30
Duration (months): 42.0
Total project cost (EUR): 7774901.25
EU funding (EUR): 6969619.5
Participants: 22
Project status: CLOSED

PREVENTOMICS builds a new paradigm in preventive personalised nutrition based on the potential of omics, especially metabolomics, accessible for everyone. The novelty relies on a new integration of genetic, nutritional and psychological factors and the application of state of the art metabolomics technologies and computational modelling of the metabolome, to assess the real incidence of disease-inducing factors on the organism, translating this information into personalized dietetic advice for the user, levering on ICT technologies. The main outcome from PREVENTOMICS is a novel mFood Platform, a unique-in-its-kind service, interoperable with current existing Apps for monitoring health status and with personalized nutrition software, thus opening the door to the personalization of any type of health treatment where combinations of genetic, biological, nutritional and psychological factors are important. PREVENTOMICS will be validated in 3 different case scenarios, performing relevant interventional studies with healthy and obese volunteers, to demonstrate its potential for personalization of nutrition at the 3 levels of the food value chain (processing and distribution, marketing and consuming), those closest to the end-users/consumers. Maximum impact will be ensured through well-balanced dissemination, standardarisation, communication and by the exploitation of the mFood platform, the menu recommendations, the personalised food elaboration and delivery, the food ingredients for personalised food and the personalised food shopping offer available for personal self-care and for professional services.

Keywords: omics,metabolomics,metabolism deregulation,decision support systems,biomarkers,business models,consumer,behavioural change,food ingredients,personalised meals
ENGineering extracellular matrix-based de novo proteins with high Affinity to Growth factors for Enhancing bone regeneration (ENGAGE)

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: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 175099.2
EU funding (EUR): 175099.2
Participants: 2
Project status: CLOSED

The successful regeneration of bone tissue to replace areas of bone loss in large defects remains a significant clinical challenge. Efforts have concentrated in the design of biomaterials using biomimetic strategies based on installing bioactivity at their surface using proteins from the extracellular matrix (ECM). Some of these ECM proteins contain domains capable of binding growth factors (GFs). This is the case of the Heparin Binding II (HBII) domain of fibronectin, which has the capacity to bind Bone Morphogenetic Proteins (BMPs). Among them, BMP-2 is known to be a potent osteoinductive molecule. However, the lack of specificity of HBII for BMP-2 limits its application. ENGAGE project aims to identify the hotspot sequences involved HBII-BMP-2 interaction and develop de novo proteins with high affinity to BMP-2 to further exploit them in hydrogel biomaterials for enhancing bone regeneration. To this end, HBII-BMP-2 will be co-crystallized to identify the sequences involved in the interaction. Based on these sequences, de novo mini-binders will be designed using Rosetta computational methodologies and optimized to have high-affinity to BMP-2. The osteoinductive capacity of the selected molecules will be analyzed and the optimal candidates will be used to functionalize hydrogel substrates. In this way, ENGAGE will open the possibility to obtain hydrogels able to sequester specific GFs from the extracellular fluids, avoiding the use of exogenous growth factors and their undesired side effects. The candidate will be trained in new computational and lab skills for protein design under the supervision of a world leader in de novo protein design. These methodologies will be transferred to the Spanish research community for developing novel proteins for biomedical applications. In addition, the obtained skills in paper and project writing, management and leadership will have a strong impact in his competitiveness and the possibility to become an independent scientist.

Keywords: protein design,protein engineering,growth factors,bone regeneration,biofunctionalization,mesenchymal stem cell differentiation
Revealing 1D ballistic charge and spin currents in second order topological insulators (BALLISTOP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: France
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2020-05-01
End date: 2025-10-31
Duration (months): 66.0
Total project cost (EUR): 2432676.0
EU funding (EUR): 2432676.0
Participants: 1
Project status: SIGNED

One of the greatest recent achievement in Condensed matter physics is the discovery of a new class of materials, Topological Insulators (TI), whose bulk is insulating, while the edges conduct current in a quasi-ideal way. In particular, the 1D edges of 2DTI realize the Quantum Spin Hall state, where current is carried dissipationlessly by two counter-propagating ballistic edge states with a spin orientation locked to that of the propagation direction (a helical edge state). This opens many possibilities, ranging from dissipationless charge and spin transport at room temperature to new avenues for quantum computing. We propose to investigate charge and spin currents in a newly discovered class of TIs, Second Order Topological Insulators (SOTIs), i.e. 3D crystals with insulating bulk and surfaces, but perfectly conducting (topologically protected) 1D helical “hinge” states. Bismuth, despite its well-known semimetallic character, has recently been shown theoretically to belong to this class of materials, explaining our recent intriguing findings on nanowires. Our goal is to reveal, characterize and exploit the unique properties of SOTIs, in particular the high velocity, ballistic, and dissipationless hinge currents. We will probe crystalline bismuth samples with refined new experimental tools. The superconducting proximity effect will reveal the spatial distribution of conduction paths, and test the ballisticity of the hinge modes (that may coexist with non-topological surface modes). High frequency and tunnel spectroscopies of hybrid superconductor/Bi circuits will probe their topological nature, including the existence of Majorana modes. We will use high sensitivity magnetometers to detect the orbital magnetism of SOTI platelets, which should be dominated by topological edge currents. Lastly, we propose to detect the predicted equilibrium spin currents in 2DTIs and SOTIs via the generated electric field, using single electron transistors-based electrometers.

Keywords: topological transport