GC-MS libraries for the identification of metabolites in complex biological samples

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dc.contributor.author Schauer, Nicolas
dc.contributor.author Steinhauser, Dirk
dc.contributor.author Strelkov, Sergej
dc.contributor.author Schomburg, Dietmar
dc.contributor.author Allison, Gordon G.
dc.contributor.author Moritz, Thomas
dc.contributor.author Lundgren, Krister
dc.contributor.author Roessner-Tunali, Ute
dc.contributor.author Forbes, Megan
dc.contributor.author Willmitzer, Lothar
dc.contributor.author Fernie, Alisdair R.
dc.contributor.author Kopka, Joachim
dc.date.accessioned 2009-09-29T16:04:59Z
dc.date.available 2009-09-29T16:04:59Z
dc.date.issued 2005-02-28
dc.identifier.citation Schauer , N , Steinhauser , D , Strelkov , S , Schomburg , D , Allison , G G , Moritz , T , Lundgren , K , Roessner-Tunali , U , Forbes , M , Willmitzer , L , Fernie , A R & Kopka , J 2005 , ' GC-MS libraries for the identification of metabolites in complex biological samples ' FEBS Letters , vol 579 , no. 6 , pp. 1332-1337 . , 10.1016/j.febslet.2005.01.029 en
dc.identifier.issn 0014-5793
dc.identifier.other PURE: 119968
dc.identifier.other dspace: 2160/3121
dc.identifier.uri http://hdl.handle.net/2160/3121
dc.description Schauer, N., Steinhauser, D., Strelkov, S., Schomburg, D., Allison, G. G., Moritz, T., Lundgren, K., Roessner-Tunali, U., Forbes, M. G., Willmitzer, L., Fernie, A. R., Kopka, J. (2005). GC-MS libraries for the identification of metabolites in complex biological samples. FEBS Letters, 579 (6), 1332-1337. en
dc.description.abstract Gas chromatography–mass spectrometry based metabolite profiling of biological samples is rapidly becoming one of the cornerstones of functional genomics and systems biology. Thus, the technology needs to be available to many laboratories and open exchange of information is required such as those achieved for transcript and protein data. The key-step in metabolite profiling is the unambiguous identification of metabolites in highly complex metabolite preparations with composite structure. Collections of mass spectra, which comprise frequently observed identified and non-identified metabolites, represent the most effective means to pool the identification efforts currently performed in many laboratories around the world. Here, we describe a platform for mass spectral and retention time index libraries that will enable this process (MSRI; www.csbdb.mpimp-golm.mpg.de/gmd.html). This resource should ameliorate many of the problems that each laboratory will face both for the initial establishment of metabolome analysis and for its maintenance at a constant sample throughput. en
dc.format.extent 6 en
dc.language.iso eng
dc.relation.ispartof FEBS Letters en
dc.title GC-MS libraries for the identification of metabolites in complex biological samples en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.febslet.2005.01.029
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en


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