Objective
The aim of the proposal is to gain novel insight into molecular mechanisms of healthy ageing. Based on a proteomic analysis of ageing processes in a variety of ageing models including model organisms and model systems (e.g. human cell cultures), we will ad dress the question how (1) changes in protein concentration and protein modification, (2) protein-protein interactions and protein networks, (3) signaling mediated by extracellular proteins, and (4) protein turnover and degradation via the proteasomal syst em play a functional role in the ageing process. To this aim we have assembled a consortium of 15 highly experienced European research laboratories, one Chinese high technology Institute and 3 SME's with complementary expertise in the fields of cellular an d molecular biology of ageing, proteomics analysis and MS, structural biology and bioinformatics. By using a centralized cutting-edge proteomic technological platform available in two world-class centres that form part of this consortium and a new platform for cell culture at physiological low oxygen pressure, a high resolution proteomic analysis of unmatched precision will be applied to well-established in vitro models of replicative and stress-induced senescence and cells and tissues from people of differ ent age including centenarians. Novel technology will also allow identification of age-associated post-translational modifications and cleavage events that are known to influence greatly the activity of proteins. Trans-species comparisons will reveal cand idates for proteins that play a functional role in driving ageing processes, allowing for the first time a delineation of cause-effect relationships (instead of mere correlations) governing proteome changes that lead to age-associated phenotypes. The work described above will also lead to new protocols for early diagnosis and prevention of age-associated dysfunctions, based for example on strategies to reactivate proteasome #
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 biological sciences biochemistry biomolecules proteins proteomics
- natural sciences mathematics pure mathematics mathematical analysis functional analysis
- natural sciences biological sciences molecular biology structural biology
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Programme(s)
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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.
FP6-2004-LIFESCIHEALTH-5
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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
AARHUS
Denmark
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Participants (20)
ATHENS
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VIENNA
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NAMUR
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BVRI PARIS
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ULM
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BRISTOL
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111932 FRANKFURT AM MAIN
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ODENSE M
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LONDON
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BUDAPEST
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100 GOTEBORG
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BOLOGNA
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MADRID
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SHANGHAI
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NANINNE
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AARHUS
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INNSBRUCK
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PARIS
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AARHUS
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CAMBRIDGE
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