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Towards a proteome-scale map of the human protein–protein interaction network

Author

Listed:
  • Jean-François Rual

    (Harvard Medical School)

  • Kavitha Venkatesan

    (Harvard Medical School)

  • Tong Hao

    (Harvard Medical School)

  • Tomoko Hirozane-Kishikawa

    (Harvard Medical School)

  • Amélie Dricot

    (Harvard Medical School)

  • Ning Li

    (Harvard Medical School)

  • Gabriel F. Berriz

    (Harvard Medical School)

  • Francis D. Gibbons

    (Harvard Medical School)

  • Matija Dreze

    (Harvard Medical School
    Unité de Recherche en Biologie Moléculaire, Facultés Notre-Dame de la Paix)

  • Nono Ayivi-Guedehoussou

    (Harvard Medical School)

  • Niels Klitgord

    (Harvard Medical School)

  • Christophe Simon

    (Harvard Medical School)

  • Mike Boxem

    (Harvard Medical School)

  • Stuart Milstein

    (Harvard Medical School)

  • Jennifer Rosenberg

    (Harvard Medical School)

  • Debra S. Goldberg

    (Harvard Medical School)

  • Lan V. Zhang

    (Harvard Medical School)

  • Sharyl L. Wong

    (Harvard Medical School)

  • Giovanni Franklin

    (Harvard Medical School)

  • Siming Li

    (Harvard Medical School
    ArQule, Inc.)

  • Joanna S. Albala

    (Harvard Medical School
    University of California Davis)

  • Janghoo Lim

    (Baylor College of Medicine)

  • Carlene Fraughton

    (Harvard Medical School)

  • Estelle Llamosas

    (Harvard Medical School)

  • Sebiha Cevik

    (Harvard Medical School)

  • Camille Bex

    (Harvard Medical School)

  • Philippe Lamesch

    (Harvard Medical School
    Unité de Recherche en Biologie Moléculaire, Facultés Notre-Dame de la Paix)

  • Robert S. Sikorski

    (Arcbay, Inc.)

  • Jean Vandenhaute

    (Unité de Recherche en Biologie Moléculaire, Facultés Notre-Dame de la Paix)

  • Huda Y. Zoghbi

    (Baylor College of Medicine)

  • Alex Smolyar

    (Harvard Medical School)

  • Stephanie Bosak

    (Agencourt Bioscience Corporation)

  • Reynaldo Sequerra

    (Agencourt Bioscience Corporation)

  • Lynn Doucette-Stamm

    (Agencourt Bioscience Corporation)

  • Michael E. Cusick

    (Harvard Medical School)

  • David E. Hill

    (Harvard Medical School)

  • Frederick P. Roth

    (Harvard Medical School)

  • Marc Vidal

    (Harvard Medical School)

Abstract

Systematic mapping of protein–protein interactions, or ‘interactome’ mapping, was initiated in model organisms, starting with defined biological processes1,2 and then expanding to the scale of the proteome3,4,5,6,7. Although far from complete, such maps have revealed global topological and dynamic features of interactome networks that relate to known biological properties8,9, suggesting that a human interactome map will provide insight into development and disease mechanisms at a systems level. Here we describe an initial version of a proteome-scale map of human binary protein–protein interactions. Using a stringent, high-throughput yeast two-hybrid system, we tested pairwise interactions among the products of ∼8,100 currently available Gateway-cloned open reading frames and detected ∼2,800 interactions. This data set, called CCSB-HI1, has a verification rate of ∼78% as revealed by an independent co-affinity purification assay, and correlates significantly with other biological attributes. The CCSB-HI1 data set increases by ∼70% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins. This work represents an important step towards a systematic and comprehensive human interactome project.

Suggested Citation

  • Jean-François Rual & Kavitha Venkatesan & Tong Hao & Tomoko Hirozane-Kishikawa & Amélie Dricot & Ning Li & Gabriel F. Berriz & Francis D. Gibbons & Matija Dreze & Nono Ayivi-Guedehoussou & Niels Klitg, 2005. "Towards a proteome-scale map of the human protein–protein interaction network," Nature, Nature, vol. 437(7062), pages 1173-1178, October.
  • Handle: RePEc:nat:nature:v:437:y:2005:i:7062:d:10.1038_nature04209
    DOI: 10.1038/nature04209
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