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A critical and integrated view of the yeast interactome

Authors

  • Michael Cornell,

    Corresponding author
    1. Department of Computer Science, University of Manchester, Kilburn Building, Oxford Road, Manchester M13 9PL, UK
    2. School of Biological Sciences, University of Manchester, The Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
    • Dept of Computer Science, Kilburn Building, Oxford Road, Manchester M13 9PL, UK.
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  • Norman W. Paton,

    1. Department of Computer Science, University of Manchester, Kilburn Building, Oxford Road, Manchester M13 9PL, UK
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  • Stephen G. Oliver

    1. School of Biological Sciences, University of Manchester, The Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
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Abstract

Global studies of protein–protein interactions are crucial to both elucidating gene function and producing an integrated view of the workings of living cells. High-throughput studies of the yeast interactome have been performed using both genetic and biochemical screens. Despite their size, the overlap between these experimental datasets is very limited. This could be due to each approach sampling only a small fraction of the total interactome. Alternatively, a large proportion of the data from these screens may represent false-positive interactions. We have used the Genome Information Management System (GIMS) to integrate interactome datasets with transcriptome and protein annotation data and have found significant evidence that the proportion of false-positive results is high. Not all high-throughput datasets are similarly contaminated, and the tandem affinity purification (TAP) approach appears to yield a high proportion of reliable interactions for which corroborating evidence is available. From our integrative analyses, we have generated a set of verified interactome data for yeast. Copyright © 2004 John Wiley & Sons, Ltd.

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