Literature DB >> 25178792

Correction of MS data for naturally occurring isotopes in isotope labelling experiments.

Pierre Millard1, Fabien Letisse, Serguei Sokol, Jean-Charles Portais.   

Abstract

Mass spectrometry (MS) in combination with isotope labelling experiments is widely used for investigations of metabolism and other biological processes. Quantitative applications-e.g., (13)C metabolic flux analysis-require correction of raw MS data (isotopic clusters) for the contribution of all naturally abundant isotopes. This chapter describes how to perform such correction using the software IsoCor. This flexible, user-friendly software can be used to exploit any isotopic tracer, from well-known ((13)C, (15)N, (18)O, etc.) to unusual ((57)Fe, (77)Se, etc.) isotopes. It also provides options-e.g., correction for the isotopic purity of the tracer-to improve the accuracy of quantitative isotopic studies, and allows automated correction of large datasets that can be collected with modern MS methods.

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Year:  2014        PMID: 25178792     DOI: 10.1007/978-1-4939-1170-7_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Convergent evolution of zoonotic Brucella species toward the selective use of the pentose phosphate pathway.

Authors:  Arnaud Machelart; Kevin Willemart; Amaia Zúñiga-Ripa; Thibault Godard; Hubert Plovier; Christoph Wittmann; Ignacio Moriyón; Xavier De Bolle; Emile Van Schaftingen; Jean-Jacques Letesson; Thibault Barbier
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-05       Impact factor: 11.205

2.  Correcting for natural isotope abundance and tracer impurity in MS-, MS/MS- and high-resolution-multiple-tracer-data from stable isotope labeling experiments with IsoCorrectoR.

Authors:  Paul Heinrich; Christian Kohler; Lisa Ellmann; Paul Kuerner; Rainer Spang; Peter J Oefner; Katja Dettmer
Journal:  Sci Rep       Date:  2018-12-17       Impact factor: 4.379

  2 in total

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