Download PDF by Oliver Fiehn, Tobias Kind (auth.), Wolfram Weckwerth (eds.): Metabolomics: Methods and Protocols

By Oliver Fiehn, Tobias Kind (auth.), Wolfram Weckwerth (eds.)

ISBN-10: 1588295613

ISBN-13: 9781588295613

ISBN-10: 1597452440

ISBN-13: 9781597452441

Metabolomics: equipment and Protocols examines the state of the art in metabolomic research. best researchers within the box current protocols for the applying of complementary analytical equipment, equivalent to gasoline chromatography-mass spectrometry (GC-MS). Metabolomics: equipment and Protocols comprises forward-looking protocols, which offer the fundamental foundation for destiny efforts in elucidating the constitution of the unknowns detected in metabolomic stories.

Part I of this quantity makes a speciality of GC-MS options; particularly, cognizance is given to metabolite profiling in blood plasma, development and alertness of mass spectral and retention time index libraries, and metabolomic profiling of traditional volatiles. partially II, emphasis shifts to facts integration and knowledge mining ideas, and particular protocols speak about bettering development acceptance and biomarker choice for structures point ways, and visualization and research of molecular and metabolomic facts. elements III, IV, and V research the coupling of capillary electrophoresis and mass spectrometry, classical reversed section liquid chromatography-mass spectrometry, and electrochemical detection of metabolites utilizing HPLC separations coupled with coulometric electrode array detectors. partially VI, protocols for the decision of metabolic flux premiums are offered and a theoretical framework for metabolic pathway community research is equipped. the quantity concludes with an exam of state-of-the-art NMR protocols.

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Identification of MSTs is the major challenge in GC–MS metabolite profiling. We describe methods suitable for the automated construction of mass spectral and retention time index databases from large sets of TOF-GC–MS profiles. Application of these libraries for automated identification by pure reference compounds and classification of hitherto unidentified MSTs from biological sources is demonstrated. Key Words: Metabolite profiling; electron impact ionization; time-of-flight GC–MS; mass spectral matching; retention time index; metabolite classification.

Nat. Rev. Mol. Cell Biol. 5, 763–769. 3. , and Kopka, J. (2003) Construction and application of a mass spectral and retention time index database generated from plant GC/EI-TOFMS metabolite profiles. Phytochem. 62, 887–900. 4. , et al. (2004) Global changes in transcription orchestrate metabolic differentiation during symbiotic nitrogen fixation in Lotus japonicus. Plant J. 39, 487–512. 5. , and Kopka, J. (2005) Metabolome analysis: the potential of in vivo labeling with stable isotopes for metabolite profiling.

J. Am. Soc. Mass Spectrom. 10, 287–299. 14. Stein, S. E. (1999) An integrated method for spectrum extraction and compound identification from gas chromatography/ mass spectrometry data. J. Am. Soc. Mass Spectrom. 10, 770–781. 38 Erban et al. 15. , Fernie, A. , and Stitt, M. (2004) Metabolite profiling in plant biology: platforms and destinations. Genome Biol. 5, 109–117. 16. , and Fiehn, O. (2004) Process for the integrated extraction, identification and quantification of metabolites, proteins and RNA to reveal their co-regulation in biochemical networks.

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Metabolomics: Methods and Protocols by Oliver Fiehn, Tobias Kind (auth.), Wolfram Weckwerth (eds.)


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