GC–MS libraries for the rapid identification of metabolites in complex biological samples. Schauer, N., Steinhauser, D., Strelkov, S., Schomburg, D., Allison, G., Moritz, T., Lundgren, K., Roessner-Tunali, U., Forbes, M. G., Willmitzer, L., Fernie, A. R., & Kopka, J. FEBS Letters, 579(6):1332–1337, 2005.
GC–MS libraries for the rapid identification of metabolites in complex biological samples [link]Paper  doi  abstract   bibtex   
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.
@article{schauer_gcms_2005,
	title = {{GC}–{MS} libraries for the rapid identification of metabolites in complex biological samples},
	volume = {579},
	issn = {1873-3468},
	url = {https://febs.onlinelibrary.wiley.com/doi/abs/10.1016/j.febslet.2005.01.029},
	doi = {10/fg7786},
	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.},
	language = {en},
	number = {6},
	urldate = {2021-08-31},
	journal = {FEBS Letters},
	author = {Schauer, Nicolas and Steinhauser, Dirk and Strelkov, Sergej and Schomburg, Dietmar and Allison, Gordon and Moritz, Thomas and Lundgren, Krister and Roessner-Tunali, Ute and Forbes, Megan G. and Willmitzer, Lothar and Fernie, Alisdair R. and Kopka, Joachim},
	year = {2005},
	keywords = {GC, GC–MS, Gas chromatography–mass spectrometry, MS, MST, Mass spectral library, Metabolite profiling, Metabolomics, RI, Retention time index, TOF, gas chromatography, mass spectral metabolite tag, mass spectrometry, retention time index, time of flight},
	pages = {1332--1337},
}

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