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Isotopic Distributions

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Mass Spectrometry Data Analysis in Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2051))

Abstract

Isotopic information determined by mass spectrometry can be used in a wide variety of applications. Broadly speaking these could be classified as “passive” applications, meaning that they use naturally occurring isotopic information, and “active” applications, meaning that the isotopic distributions are manipulated in some way. The classic passive application is the determination of chemical composition by comparing observed isotopic patterns of molecules to theoretically calculated isotopic patterns. Active applications include isotope exchange experiments of a variety of types, as well as isotope labeling in tracing studies and to provide references for quantitation. Regardless of the type of application considered, the problem of theoretical calculation of isotopic patterns almost invariably arises. This chapter reviews a number of application examples and computational approaches for isotopic studies in mass spectrometry.

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Author information

Authors and Affiliations

  1. Department of Pathology, University of Utah, Salt Lake City, UT, USA

    Alan L. Rockwood

  2. Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands

    Magnus Palmblad

Authors
  1. Alan L. Rockwood
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  2. Magnus Palmblad
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Correspondence to Magnus Palmblad .

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Editors and Affiliations

  1. Computational and Experimental Biology Group, CEDOC, Chronic Diseases Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisboa, Portugal

    Rune Matthiesen

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Rockwood, A.L., Palmblad, M. (2020). Isotopic Distributions. In: Matthiesen, R. (eds) Mass Spectrometry Data Analysis in Proteomics. Methods in Molecular Biology, vol 2051. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9744-2_3

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  • DOI: https://doi.org/10.1007/978-1-4939-9744-2_3

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9743-5

  • Online ISBN: 978-1-4939-9744-2

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