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
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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.
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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
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Publisher Name: Humana Press, Totowa, NJ
Print ISBN: 978-1-61779-884-9
Online ISBN: 978-1-61779-885-6
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