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Analysis of Phosphoproteomics Data

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Data Mining in Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 696))

Abstract

Regulation of protein phosphorylation plays an important role in many cellular processes, particularly in signal transduction. Diseases such as cancer and inflammation are often linked to aberrant signaling pathways. Mass spectrometry-based methods allow monitoring the phosphorylation status in an unbiased and quantitative manner. The analysis of this data requires the application of advanced statistical methods, some of which can be borrowed from the gene expression analysis field. Nevertheless, these methods have to be enhanced or complemented by new methods. After reviewing the key concepts of phosphoproteomics and some major data analysis methods, these tools are applied to a real-world data set.

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Author information

Authors and Affiliations

  1. Kinaxo Biotechnologies GmbH, Martinsried, Germany

    Christoph Schaab

Authors
  1. Christoph Schaab
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Corresponding author

Correspondence to Christoph Schaab .

Editor information

Editors and Affiliations

  1. Lead Discovery Center GmbH, Emil-Figge-Straße 76a76a, Dortmund, 44227, Germany

    Michael Hamacher

  2. Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstraße 150, Bochum, 44801, Germany

    Martin Eisenacher

  3. Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstraße 150, Bochum, 44801, Germany

    Christian Stephan

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© 2011 Springer Science+Business Media, LLC

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Schaab, C. (2011). Analysis of Phosphoproteomics Data. In: Hamacher, M., Eisenacher, M., Stephan, C. (eds) Data Mining in Proteomics. Methods in Molecular Biology, vol 696. Humana Press. https://doi.org/10.1007/978-1-60761-987-1_3

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  • DOI: https://doi.org/10.1007/978-1-60761-987-1_3

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-986-4

  • Online ISBN: 978-1-60761-987-1

  • eBook Packages: Springer Protocols

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