Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Unraveling the conceptional novel ADAM17 regulation by PP2A in metastasis formation. (UNNAMEd-2)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-01
End date: 2020-12-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Around 90% of all cancer-related deaths are due to metastasis. Understanding the process of cancer metastasis is therefore of urgent need to develop new treatments. Aberrant expression of the epidermal growth factor receptor (EGFR), or increased availability of its ligands promote tumour survival and metastasis in multiple cancers. As a result, several anti-EGFR therapeutics are in clinical use, but almost all patients will develop resistance against the treatment. Another strategy to treat EGFR driven cancers is to reduce the pool of available EGFR ligands. The crucial enzyme in EGFR ligand release is A Disintegrin And Metalloproteinase (ADAM) 17. I have unpublished data showing that depletion of ADAM17 significantly inhibits colon cancer growth and metastasis in vivo. However, anti-ADAM17 therapies have failed clinically and thus, we urgently need to understand the regulation of ADAM17. Recent discoveries by Dr. Kveiborg’s group, and collaborators showed that the protein phosphatase PP2A binds to ADAM17, and negatively regulates EGFR ligand release, thereby representing the first known negative regulator for ADAM17. Based on these novel findings, I hypothesize that the PP2A-ADAM17-EGFR axis has the ability to control cancer metastasis. To test this hypothesis, I aim to characterize the functional impact of the PP2A-ADAM17 interaction in cancer spread by creating ADAM17 mutants with different PP2A binding properties in colon cancer cells using CRISPR/Cas9 and functionally evaluate these cells in vitro and in zebrafish and mouse models. Moreover, I aim to unravel the molecular mechanisms of the interplay; applying SILAC coupled mass spectrometry and mutagenesis screening, to evaluate the mechanism by which PP2A affects ADAM17, and the signals involved in PP2A binding. This work will pave the way for the development of novel anti-cancer drugs and thereby expand the therapeutic choices for EGFR driven cancers and improve the patient survival.

Keywords: pp2a,a disintegrin and metalloproteinase adam,colorectal cancer,metastasis
Furthering Less Congestion by creating Opportunities for more Walking and cycling (FLOW)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Ireland,Germany,Germany,Germany,Belgium,Hungary,Poland,Bulgaria,Belgium,United Kingdom,Portugal,United Kingdom
Call: Tackling urban road congestion (H2020-MG-2014_TwoStages, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 3781697.38
EU funding (EUR): 3781696.0
Participants: 19
Project status: CLOSED

FLOW sees a need for a paradigm shift wherein non-motorised transport (often seen from a transport policy perspective simply as a nice “extra”) is placed on an equal footing with motorised modes with regard to urban congestion. To do this, FLOW will create a link between (currently poorly-connected) walking and cycling and congestion by developing a user-friendly methodology for evaluating the ability of walking and cycling measures to reduce congestion. FLOW will develop assessment tools to allow cities to evaluate effects of walking and cycling measures on congestion. Our aim is for the tools to become the standard for assessing the impact of walking and cycling measures on congestion. The tools include a congestion impact assessment (including socio-economic impact, an assessment of soft measures, congestion evaluation based on KPIs and a cost benefit analysis) and traffic modelling. Current modelling software will be calibrated and customised in FLOW partner cities to analyse the relationship of cyclist and pedestrian movements to congestion. The modelling and impact assessment will identify the congestion reducing effect of walking and cycling measures. FLOW partner cities will develop implementation scenarios and action plans for adding or up-scaling measures that are shown to reduce congestion. FLOW will target three distinct audiences, with appropriate materials and messaging for each. Cities will learn about the value and use of new transport modelling tools, businesses will be made aware of the potential market in congestion busting products and services and decision makers will be provided with facts to argue for walking and cycling to be put on equal footing with other modes of transport. FLOW will meet the challenge of “significantly reducing urban road congestion and improving the financial and environmental sustainability of urban transport” by improving the understanding of walking and cycling measures that have potential to reduce urban congestion.

Keywords: transport simulation models,walking and cycling,congestion
High precision positioning for cooperative ITS applications (HIGHTS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Germany,Germany,Germany,Sweden,France,France,France,Netherlands,Netherlands,Luxembourg
Call: Cooperative ITS for safe, congestion-free and sustainable mobility (H2020-MG-2014_TwoStages, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 5999616.25
EU funding (EUR): 5999616.0
Participants: 15
Project status: CLOSED

Cooperative intelligent transport system (C-ITS) applications rely on knowledge of the geographical positions of vehicles. Unfortunately, satellite-based positioning systems (e.g., GPS and Galileo) are unable to provide sufficiently accurate position information for many important applications and in certain challenging but common environments (e.g., urban canyons and tunnels). This project addresses this problem by combining traditional satellite systems with an innovative use of on-board sensing and infrastructure-based wireless communication technologies (e.g., Wi-Fi, ITS-G5, UWB tracking, Zigbee, Bluetooth, LTE...) to produce advanced, highly-accurate positioning technologies for C-ITS. The results will be integrated into the facilities layer of ETSI C-ITS architecture and will thereby become available for all C-ITS applications, including those targeting the challenging use cases Traffic Safety of Vulnerable Users and Autonomous Driving/platooning. The project will therefore go beyond ego- and infra-structure-based positioning by incorporating them as building blocks to develop an enhanced European-wide positioning service platform based on enhanced Local Dynamic Maps and built on open European standards. Proof-of-concept systems developed in the project will combine infrastructure devices, reference vehicles, communication between road users and offline processing, and will be evaluated under real conditions at TASS' test site in Helmond, with the objective of assessing its capabilities to provide high precision positioning to C-ITS applications. When possible, codes and prototypes will be fully open-source and made available to the larger research community as well as to the automotive industry at the end of the project. All achievements will be published in top-tier events further guaranteeing an open-access to all technical publications produced. The project also aims at a strong commitment to bringing the developed solutions to standardization bodies

Keywords: autonomous driving,positioning and tracking
Providing Predictive Maintenance for Wind Turbines Over Cloud (CLOUD DIAGNOSIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

At least 3% of wind production downtime due to breakdowns and maintenance problems that can reach up to 40%. This leads to production losses of over €2.9 billion worldwide annually. Our current SmartCast remotely connects SCADA and sensor data with a virtual database to monitor wind turbines. It involves algorithms based AI, cloud computing and data mining. The SmartGear product is a low cost Condition Monitoring System based on IoT technology which acquires raw data and connects with SmartCast Platform for further processing. The overall objective of the future Phase II Cloud Diagnosis project is to scale-up our SmartGear technology by introducing communication protocols that allow us to extract data from multiple devices allocated in the wind turbines and additional transducers. Additionally, SmartCast cloud diagnosis algorithms need to be improved. Our innovative solution will allow faster detection of wind turbine system failures through complex algorithms implementing intelligent sensor fusion, therefore, optimizing the performance of wind turbines. It does not require onsite visits but provides information online. In this way, our technology will be able to: Reduce wind turbine maintenance cost by 20%: €44 million annually in the Spanish market, €190 million per year in Europe and €440 million annually in the world market. Reduce wind turbine operation cost and component replacement of cost by 20%: A standard park of 50 MW (16 turbines) installation power working 2,100 hours per year faces production losses of at least €378,000 annually. Our system enables 20% savings of €75,600 (€4,725 per turbine). Currently, our SmartCast platform processes real-time data from SCADA and sensors by means of SVM (support vector machine) in 300 turbines. Our SmartGear Solution is present in two wind farms and is being rolled out in five more.

Keywords: wind turbines,wind energy,artificial intelligence,smart wind monitoring algorithms,vsm cloud computing,condition monitoring system,scada data,cloud computing
BIaxial STRETCHing of PLLA-WS2 nanocomposites FOR thinner and stronger BIOMEDical scaffolds (Bi-Stretch-4-Biomed)

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: Italy,United States,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-02-01
End date: 2020-01-31
Duration (months): 48.0
Total project cost (EUR): 400500.0
EU funding (EUR): 342000.0
Participants: 4
Project status: CLOSED

New materials are now opening clinical treatments in which a temporary scaffold is used to support regeneration of healthy tissue. The specific need that inspires our research is for thinner and stronger bioresorbable vascular scaffolds (BVS) for coronary heart disease. BVS are poised to replace metal stents due to the excellent clinical outcomes: beyond keeping the vessel open during the first six months after surgery, the BVS leaves behind a healthy blood vessel after the scaffold is gone, being completely absorbed by the body approximately two years after surgery. The material that has achieved clinical approval for BVS is poly(L-lactic acid), PLLA. It is not as strong and stiff as metals, so the scaffold is three times thicker than the metal stents, making it more difficult for surgeons to move through arteries to reach the site of the lesion. Thinner Scaffolds that can be seen by x-ray imaging during surgery would facilitate adoption of the technology and benefit thousands of patients in the EU and US. The proposed Action will provide the fundamental understanding needed to reinforce PLLA by tungsten disulphide (WS2) nanotubes to achieve both the strength and x-ray opacity needed. Improving materials for BVS requires an interdisciplinary approach by materials science, polymer processing, and bioengineering. The proposed Action will connect EU scientists with a polymer scientist at Caltech in the US who has specialized knowledge of PLLA BVS and the relevant structure-processing-property relationships (Kornfield). European scientists bring expertise in WS2 nanotubes that are powerful additives for enhancing polymer properties (Di Luccio), compounding polymers with nanotubes (McNally), biaxial stretching to induce strength and orientation in polymers (Menary), multiscale modeling to connect nanoscale to continuum scale (Figiel), multimethod characterization of structure in nanocomposites (Schiller) and the response of cells to nanoparticles (Kornfield).

Keywords: polymeric scaffolds,biocompatible and biodegradable polymers,inorganic nanotubes,nanocomposites,biocompatible nanomaterials,mechanical deformation,in situ syncrotron scattering experiments
Title of Proposal: Restoring the immune system homeostasis and organ function in severe community acquired pneumonia- induced sepsis through adipose derived allogeneic stem cells (SEPCELL Proje (SEPCELL)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Spain,Belgium,Belgium,France,Netherlands
Call: Clinical research on regenerative medicine (H2020-PHC-2015-single-stage_RTD, 2015)
Start date: 2015-11-01
End date: 2022-04-30
Duration (months): 78.0
Total project cost (EUR): 12000695.0
EU funding (EUR): 5369886.0
Participants: 6
Project status: SIGNED

Sepsis is defined as a systemic inflammatory response to infection, while severe sepsis (SS) is a sepsis complicated by acute organ dysfunction. Lung infections, in particular community-acquire pneumonia (CAP), are the leading cause of SS. The pathophysiologic mechanism of CAP-mediated SS is the complete dysregulation of the patient´s immune system. In an initial phase, the systemic hyperactivation of the host immune response against infection leads to high levels of inflammatory mediators, systemic vasodilatation, micro-vascular thrombosis and organ failure. In a second phase, the exaggerated activation of the immune response leads to a state of ‘immunoparalysis’, which is characterized by the occurrence of secondary, opportunistic infections. This makes CAP-mediated SS a life-threatening condition with mortality rates as high as 28-50%. The current standard of care (infection removal and control, functional support) does not improve the high mortality and, thus, CAP-mediated SS represents a major unmet medical need with a huge social burden. Therefore, treatments with the potential to modulate both the initial exacerbated immunoactivation and the subsequent immunosuppression are needed. Mesenchymal stem cells (MSCs), including adipose mesenchymal stem cells (ASCs), are known for their broad range of immunomodulatory properties, targeting multiple pro- and anti-inflammatory pathways, and possess antimicrobial capacities (releasing bactericidal peptides and promoting the phagocytosis by immune cells). Indeed, therapeutic benefit of MSC treatment in in vivo experimental models of sepsis has been extensively reported. The SEPCELL consortium believes that cell therapy with allogeneic ASCs may be an innovative therapeutic approach in order to re-establish the normal immune homeostasis of CAP-mediated SS patients, reducing organ injury and restoring organ functionality. A phase Ia/IIb clinical trial will be performed to test this possibility.

Keywords: severe sepsis,community acquired pneumonia,mortality,easc,allogeneic stem cell,adipose tissue derived expanded stem cells,regeneration,self healing capacity,organ fuinction restoration
Long range-acting drivers of premetastatic niches in melanoma (METMEL)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2021-11-13
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Melanoma is the cancer with the fastest rising incidence world-wide, and although recent therapies can achieve unprecedented response rates, a significant fraction of patients still succumb to metastatic lesions. Key pending questions in the field are the mechanisms underlying the inherent metastatic behaviour or melanoma, whereby seemingly thin primary lesions (≥2 mm in depth) bear high risk of dissemination to proximal lymph nodes and ultimately, to distal sites. A dynamic crosstalk has been proposed to be established between melanoma cells and the lymphatic vasculature at tumour-draining lymph nodes, favouring an immune-permissive “lymphovascular niche”. However, whether (and how) these lymphovascular interactions occur at distal sites is unclear. The Soengas group has generated unique “Lymphoreporter” melanoma mouse models for non-invasive and whole body imaging of tumour progression. These lymphoreporters demonstrated that primary melanomas induce neo-lymphangiogenesis at distal pre-metastatic sites, already from very early stages of the disease, before dissemination occurs. Proteomic analyses were then performed to identify factors in the melanoma secretome that could drive these long range-acting effects and subsequently filtered these proteins for novelty (i.e. no previous link to melanoma and lymphangiogenesis). Here I will focus on the top-ranking factors in this screening. In particular, I will define the impact of these newly-identified melanoma secreted factors on tumour progression and metastasis, focusing on key components of the lymphovascular niche (i.e. on the crosstalk of tumour- vasculature-immune system). Secondly, I will assess the impact of these genes as prognostic biomarkers and indicators of response to clinically-relevant treatments. These studies will be performed in collaboration with dermatologists, pathologists and oncologist to define the physiological relevance of our work.

Keywords: melanoma,lymphangiogenesis,metastasis,secretion,premetastatic niche
Air Pollution, Growing brAin and cognitive disordeR in children (APGAR)

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: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-15
End date: 2017-10-14
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 2
Project status: CLOSED

Air pollution exposure has been associated with adverse effects on cognition in children. However, the impact of air pollution on the structures and functions of the growing brain in children is unknown. The objectives of the APGAR project are to determine 1) the impact of urban air pollution on the structures and functions of the growing brain in children from the general population, 2) to what extent these structural and functional changes are associated with cognitive performance in children. The APGAR project is a longitudinal study conducted in 400 school age children from the general population, recruited between 2012 and 2013, in different schools in Barcelona, Spain. Psychometric and air pollution measurements were conducted weekly during 2 six-week periods: at the beginning of the school year and 9 months later. Neuroimaging (High-resolution 3-dimensional Magnetic Resonance Imaging (MRI), Diffusion Tensor Images, Fluid Attenuation Inversion Recovery, T2-weighted spin-echo sequences and functional MRI, spectrometry) were also conducted. Interfacing neuroimaging and environmental epidemiology represents an innovative applications of neuroimaging in general population, as previous studies have focused exclusively on effects based on test scores. Using original statistical methods (combination of supervised machine learning methods, feature selection and regression models), we will examine the impact of air pollution on the brain structures correlated with cognitive performance in children. Secondly, we will examine whether profiles of brain changes, specifically related to air pollution exposure, are associated with cognition level in participants. This multidisciplinary project may improve our understanding of the mechanisms that underlie the link between air pollution and cognitive disorder in children, and may lead to public health actions to improve air quality and reduce the burden of disease associated with air pollution in Europe.

Keywords: epidemiology,children,air pollution,neurodevelopment,neuroimaging,statistics
A neW concept of pubLic administration based on citizen co-created mobile urban services (WeLive)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Spain,Finland,Serbia
Call: ICT-enabled open government (H2020-INSO-2014, 2014)
Start date: 2015-02-01
End date: 2018-01-31
Duration (months): 36.0
Total project cost (EUR): 3367581.25
EU funding (EUR): 2973580.0
Participants: 13
Project status: CLOSED

The WeLive project is devised to transform the current e-government approach by facilitating a more open model of design, production and delivery of public services leveraging on the collaboration between public administrations (PAs), citizens and entrepreneurs. WeLive applies the quadruple-helix approach based on the joint collaboration of 3 PAs, 4 research agents and 5 companies, constituing the consortium, plus citizens to deliver next generation personalised user-centric public services. WeLive aims to bridge the gap between innovation and adoption (i.e. take-up) of open government services. For that, it contributes with the WeLive Framework, an ICT infrastructure which adapts, enhances, extends and integrates Open Innovation, Open Data and Open Services components selected from consortium partners’ previous projects. An Open Innovation Area is proposed where stakeholders collaborate in the ideation, creation, funding and deployment of new services. A Visual Composer will enable non-ICT users to assemble public service apps from existing blocks. Stakeholders will upload/sell and download/purchase the generated apps to/from the WeLive Marketplace, thus impulsing economic activity around public services. Personalization and analytics of public services will be done through collaboration of the Citizen Data Vault, which manages personal information, with the Decision Engine, which matchmakes user preferences, profile and context against available public services. Two-phase pilots will be conducted in 3 cities (Bilbao, Novi Sad and Trento) and 1 region (Helsinki- Uusimaa) across Europe. Further, the business feasibility and commercial potential of the WeLive Framework, including its individual assets, will be validated by developing and deploying sustainable business models.

Keywords: open services,public and personalised services,super prosumer,open innovation and user centric services