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iTRAQ Data Interpretation

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Quantitative Methods in Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 893))

Abstract

Quantitative proteomic analysis can help elucidating unexplored biological questions; it, however, relies on highly reproducible experiments and reliable data processing. Among the existing strategies, iTRAQ is known as an easy to use method allowing relative comparison of up to eight multiplexed samples.

Once the data is acquired it is important that the final protein quantification reflects the actual amounts in the samples. Data interpretation must thus be achieved with a constant focus on quality. Here, we describe a workflow for processing iTRAQ data in user-friendly environments with emphasis on quality control.

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Abbreviations

iTRAQ:

Isobaric tag for relative and absolute quantification

MS:

Mass spectrometry

References

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Acknowledgments

The financial support provided by the Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen and by the Bundesministerium für Bildung und Forschung is gratefully acknowledged.

Author information

Authors and Affiliations

  1. Leibniz-Institut für Analytische Wissenschaften, ISAS—e.V., Dortmund, Germany

    Marc Vaudel, Julia Maria Burkhart, René Peiman Zahedi & Albert Sickmann

  2. Department of Medical Protein Research, VIB, Ghent, Belgium

    Lennart Martens

  3. Department of Biochemistry, Ghent University, Ghent, Belgium

    Lennart Martens

  4. Medizinisches Proteom-Center (MPC), Ruhr-Universität, Bochum, Germany

    Albert Sickmann

Authors
  1. Marc Vaudel
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  2. Julia Maria Burkhart
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  3. René Peiman Zahedi
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  4. Lennart Martens
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  5. Albert Sickmann
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Corresponding author

Correspondence to Albert Sickmann .

Editor information

Editors and Affiliations

  1. Fak. Medizin, Medizinische Proteom Center, Universität Bochum, Universitätsstraße 150, Bochum, 44801, Germany

    Katrin Marcus

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© 2012 Springer Science+Business Media, LLC

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Vaudel, M., Burkhart, J.M., Zahedi, R.P., Martens, L., Sickmann, A. (2012). iTRAQ Data Interpretation. In: Marcus, K. (eds) Quantitative Methods in Proteomics. Methods in Molecular Biology, vol 893. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-885-6_30

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  • DOI: https://doi.org/10.1007/978-1-61779-885-6_30

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-61779-884-9

  • Online ISBN: 978-1-61779-885-6

  • eBook Packages: Springer Protocols

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