Statistical methods for quantitative mass spectrometry proteomic experiments with labeling

Ann L Oberg, Douglas W. Mahoney

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this manuscript we focus on statistical methods for quantitative mass spectrometry (MS) based proteomic experiments as they pertain to labeling protocols. Labeling of fragmented proteins (i.e., peptides) allows specimens to be labeled without altering the chemical properties of the peptides, mixed into a single aliquot and then subjected to MS simultaneously. The advantage of the labeling protocol is that specimens can be distinguished in the resulting data by leveraging known properties of the labels. For example, if stable isotopes are used, the known mass shift resulting from extra neutrons together with known naturally occurring distributions of isotopes in the atmosphere are used during the relative quantification step.

Original languageEnglish (US)
Title of host publicationBioinformatics
Subtitle of host publicationThe Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research
PublisherApple Academic Press
Pages295-336
Number of pages42
ISBN (Electronic)9781482246629
ISBN (Print)9781771880190
DOIs
StatePublished - Jan 1 2014

ASJC Scopus subject areas

  • Mathematics(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Oberg, A. L., & Mahoney, D. W. (2014). Statistical methods for quantitative mass spectrometry proteomic experiments with labeling. In Bioinformatics: The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research (pp. 295-336). Apple Academic Press. https://doi.org/10.1201/b16589