Objective
Lipids are central to the regulation and control of cellular processes by acting as basic building units for biomembranes, the platforms for the vast majority of cellular functions. Recent developments in lipid mass spectrometry have set the scene for a completely new way to understand the composition of membranes, cells and tissues in space and time by allowing the precise identification and quantification of alterations of the total lipid profile after specific perturbations. In combination with advanced proteome and transcriptome analysis tools and novel imaging techniques using RNA interference, it is now possible to unravel the complex network between lipids, genes and proteins in an integrated lipidomics approach. This project application of the European Lipidomics Initiative (ELife; www.lipidomics.net) will address lipid droplets (LD) as dynamic organelles with regard to composition, metabolism and regulation. LD are the hallmark of energy overload diseases with a major health care impact in Europe. The project will exploit recent advances in lipidomics to establish high-throughput methods to define drugable targets and novel biomarkers related to LD lipid and protein species, their interaction and regulation during assembly, disassembly and storage. Translational research from mouse to man applied to LD pathology is a cornerstone of this project at the interface between research and development. To maximize the value of the assembled data generated throughout the project, “LipidomicNet” as a detailed special purpose Wiki formate data base will be developed and integrated into the existing Lipidomics Expertise Platform (LEP) established through the SSA ELife project (www.lipidomics-expertise.de). ELife collaborates with the NIH initiative LIPID MAPS (www.lipidmaps.org) and the Japanese pendant Lipidbank (www.lipidbank.jp) and is connected to the Danubian Biobank consortium (SSA DanuBiobank, www.danubianbiobank.de) for clinical lipidomics.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- natural sciencesbiological sciencesbiochemistrybiomoleculeslipids
- medical and health sciencesbasic medicinepathology
- natural sciencesbiological sciencesgeneticsRNA
- natural scienceschemical sciencesanalytical chemistrymass spectrometry
Keywords
Call for proposal
FP7-HEALTH-2007-A
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Funding Scheme
CP-IP - Large-scale integrating projectCoordinator
93053 Regensburg
Germany
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Participants (26)
3584 CS Utrecht
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66030 SANTA MARIA IMBARO
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75654 Paris
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2333 ZA Leiden
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8092 Zuerich
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8010 Graz
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405 30 Goeteborg
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Participation ended
80539 Munchen
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6726 Szeged
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83306 BRATISLAVA
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CB22 3AT Cambridge
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00014 Helsingin Yliopisto
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53113 Bonn
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69117 Heidelberg
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37075 Goettingen
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38304 WOLFENBUETTEL
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02150 Espoo
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44227 DORTMUND
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18100 ARMILLA -GRANADA
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OX1 2JD Oxford
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W1B 1AL LONDON
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Participation ended
4040 Linz
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630112 NOVOSIBIRSK
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48149 MUENSTER
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31-007 Krakow
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1040 Wien
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