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Functional organization of the yeast proteome by systematic analysis of protein complexes

Author

Listed:
  • Anne-Claude Gavin

    (Cellzome AG)

  • Markus Bösche

    (Cellzome AG)

  • Roland Krause

    (Cellzome AG)

  • Paola Grandi

    (Cellzome AG)

  • Martina Marzioch

    (Cellzome AG)

  • Andreas Bauer

    (Cellzome AG)

  • Jörg Schultz

    (Cellzome AG)

  • Jens M. Rick

    (Cellzome AG)

  • Anne-Marie Michon

    (Cellzome AG)

  • Cristina-Maria Cruciat

    (Cellzome AG)

  • Marita Remor

    (Cellzome AG)

  • Christian Höfert

    (Cellzome AG)

  • Malgorzata Schelder

    (Cellzome AG)

  • Miro Brajenovic

    (Cellzome AG)

  • Heinz Ruffner

    (Cellzome AG)

  • Alejandro Merino

    (Cellzome AG)

  • Karin Klein

    (Cellzome AG)

  • Manuela Hudak

    (Cellzome AG)

  • David Dickson

    (Cellzome AG)

  • Tatjana Rudi

    (Cellzome AG)

  • Volker Gnau

    (Cellzome AG)

  • Angela Bauch

    (Cellzome AG)

  • Sonja Bastuck

    (Cellzome AG)

  • Bettina Huhse

    (Cellzome AG)

  • Christina Leutwein

    (Cellzome AG)

  • Marie-Anne Heurtier

    (Cellzome AG)

  • Richard R. Copley

    (European Molecular Biology Laboratory)

  • Angela Edelmann

    (Cellzome AG)

  • Erich Querfurth

    (Cellzome AG)

  • Vladimir Rybin

    (Cellzome AG)

  • Gerard Drewes

    (Cellzome AG)

  • Manfred Raida

    (Cellzome AG)

  • Tewis Bouwmeester

    (Cellzome AG)

  • Peer Bork

    (European Molecular Biology Laboratory)

  • Bertrand Seraphin

    (European Molecular Biology Laboratory
    CGM-CNRS)

  • Bernhard Kuster

    (Cellzome AG)

  • Gitte Neubauer

    (Cellzome AG)

  • Giulio Superti-Furga

    (Cellzome AG
    European Molecular Biology Laboratory)

Abstract

Most cellular processes are carried out by multiprotein complexes. The identification and analysis of their components provides insight into how the ensemble of expressed proteins (proteome) is organized into functional units. We used tandem-affinity purification (TAP) and mass spectrometry in a large-scale approach to characterize multiprotein complexes in Saccharomyces cerevisiae. We processed 1,739 genes, including 1,143 human orthologues of relevance to human biology, and purified 589 protein assemblies. Bioinformatic analysis of these assemblies defined 232 distinct multiprotein complexes and proposed new cellular roles for 344 proteins, including 231 proteins with no previous functional annotation. Comparison of yeast and human complexes showed that conservation across species extends from single proteins to their molecular environment. Our analysis provides an outline of the eukaryotic proteome as a network of protein complexes at a level of organization beyond binary interactions. This higher-order map contains fundamental biological information and offers the context for a more reasoned and informed approach to drug discovery.

Suggested Citation

  • Anne-Claude Gavin & Markus Bösche & Roland Krause & Paola Grandi & Martina Marzioch & Andreas Bauer & Jörg Schultz & Jens M. Rick & Anne-Marie Michon & Cristina-Maria Cruciat & Marita Remor & Christia, 2002. "Functional organization of the yeast proteome by systematic analysis of protein complexes," Nature, Nature, vol. 415(6868), pages 141-147, January.
  • Handle: RePEc:nat:nature:v:415:y:2002:i:6868:d:10.1038_415141a
    DOI: 10.1038/415141a
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    Cited by:

    1. Bingjie Hao & István A. Kovács, 2023. "A positive statistical benchmark to assess network agreement," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Jie Zhao & Xiujuan Lei & Fang-Xiang Wu, 2017. "Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC," Complexity, Hindawi, vol. 2017, pages 1-11, August.
    3. Abdolhosseini-Qomi, Amir Mahdi & Yazdani, Naser & Asadpour, Masoud, 2020. "Overlapping communities and the prediction of missing links in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).

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