IsotopicLabelling: an R package for the analysis of MS isotopic patterns of labelled analytes | Zendy

Ruggero Ferrazza | Zendy; Julian L. Griffin | Zendy; Graziano Guella | Zendy; Pietro Franceschi | Zendy

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IsotopicLabelling: an R package for the analysis of MS isotopic patterns of labelled analytes

Author(s) -

Ruggero Ferrazza,

Julian L. Griffin,

Graziano Guella,

Pietro Franceschi

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw588

Subject(s) - labelling , natural abundance , isotope , r package , analyte , chemistry , mass spectrometry , isotopic labeling , abundance (ecology) , stable isotope ratio , computer science , chromatography , biological system , computational science , biology , biochemistry , organic chemistry , physics , quantum mechanics , fishery

Labelling experiments in biology usually make use of isotopically enriched substrates, with the two most commonly employed isotopes for metabolism being 2 H and 13 C. At the end of the experiment some metabolites will have incorporated the labelling isotope, to a degree that depends on the metabolic turnover. In order to propose a meaningful biological interpretation, it is necessary to estimate the amount of labelling, and one possible route is to exploit the fact that MS isotopic patterns reflect the isotopic distributions.

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