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Label-Free Quantitative Proteomics in Yeast

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Yeast Functional Genomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1361))

Abstract

Label-free bottom-up shotgun MS-based proteomics is an extremely powerful and simple tool to provide high quality quantitative analyses of the yeast proteome with only microgram amounts of total protein. Although the experimental design of this approach is rather straightforward and does not require the modification of growth conditions, proteins or peptides, several factors must be taken into account to benefit fully from the power of this method. Key factors include the choice of an appropriate method for the preparation of protein extracts, careful evaluation of the instrument design and available analytical capabilities, the choice of the quantification method (intensity-based vs. spectral count), and the proper manipulation of the selected quantification algorithm. The elaboration of this robust workflow for data acquisition, processing, and analysis provides unprecedented insight into the dynamics of the yeast proteome.

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Author information

Authors and Affiliations

  1. Mass Spectrometry Laboratory, Institut Jacques Monod, UMR7592, CNRS—Univ Paris Diderot, Sorbonne Paris Cité, Paris, France

    Thibaut Léger, Camille Garcia, Mathieu Videlier & Jean-Michel Camadro

  2. Mitochondria, Metals and Oxidative Stress group, Institut Jacques Monod, UMR7592, CNRS—Univ Paris Diderot, Sorbonne Paris Cité, Paris, France

    Jean-Michel Camadro

Authors
  1. Thibaut Léger
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  2. Camille Garcia
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  3. Mathieu Videlier
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  4. Jean-Michel Camadro
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Corresponding author

Correspondence to Jean-Michel Camadro .

Editor information

Editors and Affiliations

  1. Laboratoire de biologie computationnelle et quantitative, Sorbonne Universités, Paris, France

    Frédéric Devaux

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Léger, T., Garcia, C., Videlier, M., Camadro, JM. (2016). Label-Free Quantitative Proteomics in Yeast. In: Devaux, F. (eds) Yeast Functional Genomics. Methods in Molecular Biology, vol 1361. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3079-1_16

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  • DOI: https://doi.org/10.1007/978-1-4939-3079-1_16

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3078-4

  • Online ISBN: 978-1-4939-3079-1

  • eBook Packages: Springer Protocols

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