Objective
"The aim of SYBIL is to carry out extensive functional validation of the genetic determinants of rare and common skeletal diseases and the age related factors contributing to these painful conditions. To achieve this goal SYBIL will gather complementary translational and transnational scientists, systems biologists, disease modellers, leading SMEs and industrialists that will perform in-depth characterisation (complete molecular phenotyping) of pre-clinical models (cellular and animal) for a variety of common and rare skeletal diseases. SYBIL will establish a systematic pipeline of in vitro, ex vivo and in vivo models of increasing complexity and will also make use of novel technologies such as iPS cells and exclusive ‘Virtual Patient’ software to identify potential therapeutic targets for further validation through simultaneous modelling of fundamental and complex physiological pathways. SYBIL will rely on i) an ‘Omics Knowledge Factory’ for systematically generating new knowledge on skeletal disease pathophysiology and to generate the relevant Omics profiles necessary to detect and validate new disease determinants, biomarkers and therapeutic targets for future clinical developments, and ii) a “Systems Biology Hub” to integrate the high-throughput and data-dense information, to gain a global understanding of pathophysiological commonalities between different skeletal diseases and recognize predominant shared pathways and mechanisms that may represent new targeted routes to treatment. SYBIL will also identify potential modifier genes and study the epigenome that will ultimately influence the timing and efficacy of new personalised treatments. Overall SYBIL achievements will tremendously boost the efficient pre-clinical assessment and development of therapeutics against skeletal diseases and thus indirectly reduce their social and healthcare burden."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- medical and health sciences basic medicine physiology pathophysiology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-HEALTH-2013-INNOVATION-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
NE1 7RU Newcastle Upon Tyne
United Kingdom
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Participants (17)
67100 L AQUILA
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M13 9PL Manchester
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12489 Berlin
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27100 Pavia
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8153 Rümlang
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00185 Roma
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75654 PARIS
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EX4 7BG EXETER
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10117 Berlin
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78467 Konstanz
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20251 Hamburg
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1110 WIEN
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50937 Koeln
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20132 MILANO
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79106 Freiburg
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2000 Antwerpen
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69003 Lyon
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