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Standardized Preprocessing of Urine for Proteome Analysis

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The Urinary Proteome

Part of the book series: Methods in Molecular Biology ((MIMB,volume 641))

Abstract

Proteome/peptidome profiling of human urine is a promising tool for the discovery of novel disease-associated biomarkers. However, a wide range of preanalytic variables influence the results of proteome/peptidome analysis regardless of the method used. We present a validated pretreatment protocol, which allows standardization of preanalytic modalities and facilitates reproducible peptidome profiling of human urine by means of magnetic bead (MB) separation in combination with MALDI-TOF MS. Such a procedure is necessary for generating consistent and reliable data from which meaningful results may be obtained for biomarker discovery and general proteomic experiments.

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Acknowledgments

This work was supported by a grant from the Sächsische Aufbaubank, by a “formel-1” grant of the Medical Faculty of the University Leipzig and by a grant of the Deutsche Forschungsgemeinschaft Th 374/2-3. We greatly acknowledge the skilful technical contributions and analytical advice provided by Sven Baumann.

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Authors and Affiliations

  1. Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Medical Faculty, University Leipzig, Leipzig, Germany

    Georg Martin Fiedler, Uta Ceglarek, Alexander Leichtle & Joachim Thiery

Authors
  1. Georg Martin Fiedler
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  2. Uta Ceglarek
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  3. Alexander Leichtle
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  4. Joachim Thiery
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Editors and Affiliations

  1. Medical Center, Dept. Pathology & Cell Biology, Columbia University, West 168th Street 622, New York, 10032-3720, USA

    Alex J. Rai

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Fiedler, G.M., Ceglarek, U., Leichtle, A., Thiery, J. (2010). Standardized Preprocessing of Urine for Proteome Analysis. In: Rai, A. (eds) The Urinary Proteome. Methods in Molecular Biology, vol 641. Humana Press. https://doi.org/10.1007/978-1-60761-711-2_4

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  • DOI: https://doi.org/10.1007/978-1-60761-711-2_4

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-710-5

  • Online ISBN: 978-1-60761-711-2

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