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Proteomic characterization of the human centrosome by protein correlation profiling

Author

Listed:
  • Jens S. Andersen

    (University of Southern Denmark)

  • Christopher J. Wilkinson

    (Max Planck Institute for Biochemistry)

  • Thibault Mayor

    (Max Planck Institute for Biochemistry
    California Institute of Technology)

  • Peter Mortensen

    (University of Southern Denmark)

  • Erich A. Nigg

    (Max Planck Institute for Biochemistry)

  • Matthias Mann

    (University of Southern Denmark)

Abstract

The centrosome is the major microtubule-organizing centre of animal cells and through its influence on the cytoskeleton is involved in cell shape, polarity and motility. It also has a crucial function in cell division because it determines the poles of the mitotic spindle that segregates duplicated chromosomes between dividing cells1,2,3,4,5. Despite the importance of this organelle to cell biology and more than 100 years of study, many aspects of its function remain enigmatic and its structure and composition are still largely unknown. We performed a mass-spectrometry-based proteomic analysis of human centrosomes in the interphase of the cell cycle by quantitatively profiling hundreds of proteins across several centrifugation fractions. True centrosomal proteins were revealed by both correlation with already known centrosomal proteins and in vivo localization. We identified and validated 23 novel components and identified 41 likely candidates as well as the vast majority of the known centrosomal proteins in a large background of nonspecific proteins. Protein correlation profiling permits the analysis of any multiprotein complex that can be enriched by fractionation but not purified to homogeneity.

Suggested Citation

  • Jens S. Andersen & Christopher J. Wilkinson & Thibault Mayor & Peter Mortensen & Erich A. Nigg & Matthias Mann, 2003. "Proteomic characterization of the human centrosome by protein correlation profiling," Nature, Nature, vol. 426(6966), pages 570-574, December.
    • Handle: RePEc:nat:nature:v:426:y:2003:i:6966:d:10.1038_nature02166
    DOI: 10.1038/nature02166
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    Cited by:

    1. Lisa M Breckels & Sean B Holden & David Wojnar & Claire M Mulvey & Andy Christoforou & Arnoud Groen & Matthew W B Trotter & Oliver Kohlbacher & Kathryn S Lilley & Laurent Gatto, 2016. "Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-26, May.
    2. Hans J C T Wessels & Rutger O Vogel & Robert N Lightowlers & Johannes N Spelbrink & Richard J Rodenburg & Lambert P van den Heuvel & Alain J van Gool & Jolein Gloerich & Jan A M Smeitink & Leo G Nijtm, 2013. "Analysis of 953 Human Proteins from a Mitochondrial HEK293 Fraction by Complexome Profiling," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-14, July.
    3. Aurélien Naldi & Romain M Larive & Urszula Czerwinska & Serge Urbach & Philippe Montcourrier & Christian Roy & Jérôme Solassol & Gilles Freiss & Peter J Coopman & Ovidiu Radulescu, 2017. "Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-27, March.

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