title: Correction of MS data for naturally occurring isotopes in isotope labelling experiments.
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.
authors.affiliation: Université de Toulouse; INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, Toulouse, 31077, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Millard
authors.forename: Fabien
authors.initials: F
authors.lastname: Letisse
authors.forename: Serguei
authors.initials: S
authors.lastname: Sokol
authors.forename: Jean-Charles
authors.initials: JC
authors.lastname: Portais
mesh_terms: D007553:Isotope Labeling / Q000379:methods*; D007554:Isotopes / Q000737:chemistry*; D013058:Mass Spectrometry / Q000379:methods* / Q000592:standards*; D064688:Metabolic Flux Analysis / Q000379:methods*; D012107:Research Design; D012984:Software
chemical_list: D007554:Isotopes