Objective
NR-NET is a multidisciplinary consortium, whose activities are directed towards the understanding of the role of Nuclear Receptors (NRs) and coregulators in metaflammatory disease. Metaflammation - metabolic disorders linked to chronic inflammation – is an emerging concept explaining the pathogenesis of a wide-spectrum of diseases. Since several nuclear receptors can directly sense metabolic alterations, we propose that they could be considered as important endogenous modulators of metaflammatory pathways further expanding the repertoire of diseases that can be intervened by NR-modulating drugs.
NR-NET is expected to deliver important new knowledge on the basic biological processes involved in the mechanism of epigenetic control of gene expression by nuclear receptors, on structural and functional aspects of nuclear receptor action with an ultimate goal of better understanding the pathogenesis of metabolic disorders and inflammation.
The composition of the network was designed to contain a balanced mix of labs with experience and skills in academic and industry based research, so that it can provide young researchers the opportunity to acquire skills and expertise in:
a. Structural and functional aspects of NR-regulated gene expression
b. Genomics and proteomics approaches to analyze complex regulatory networks
c. Systems biology approaches and bioinformatics tools to define composite regulatory modules
d. Studying metabolic and inflammatory pathways in model organisms
The research will be conducted under the framework of a structured training program, which includes a myriad of Individual and Network-wide training activities. Apart from training in academic and industry-based research projects, specific emphasis will be given to training in transferable skills and the stimulation of creativity and entrepreneurial mindset of researchers.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences genetics
- natural sciences biological sciences biochemistry biomolecules proteins proteomics
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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-PEOPLE-2013-ITN
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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
16 672 VARI-ATHENS
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.