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Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters

Nature Genetics volume 31, pages 255265 (2002) | Download Citation

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Abstract

Genome sequencing has led to the discovery of tens of thousands of potential new genes. Six years after the sequencing of the well-studied yeast Saccharomyces cerevisiae and the discovery that its genome encodes 6,000 predicted proteins, more than 2,000 have not yet been characterized experimentally, and determining their functions seems far from a trivial task. One crucial constraint is the generation of useful hypotheses about protein function. Using a new approach to interpret microarray data, we assign likely cellular functions with confidence values to these new yeast proteins. We perform extensive genome-wide validations of our predictions and offer visualization methods for exploration of the large numbers of functional predictions. We identify potential new members of many existing functional categories including 285 candidate proteins involved in transcription, processing and transport of non-coding RNA molecules. We present experimental validation confirming the involvement of several of these proteins in ribosomal RNA processing. Our methodology can be applied to a variety of genomics data types and organisms.

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  • 19 June 2002

    added supplementary figure callouts

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Acknowledgements

We thank M. Boguski, S. Friend, L. Hartwell and A. W. Murray for support, advice and encouragement; J. Burchard, J. Castle, Y. He, M. Margarint and E. Tan for help with BLAST and clustering; L. Garwin, M. Groudine, J. Johnson, P. Linsley, P. Lum, D. Marks, C. Roberts, M. Roth, C. Sander, E. Schadt and S. Tapscott for comments and useful discussions on this work; and B. Blencowe and S. McCracken for lab space, reagents and assistance with experiments in Fig. 6. This work was supported by Rosetta Inpharmatics, a CIHR Operating Grant to T.R.H. and the Ontario Premier's Research Excellence Award to T.R.H.

Author information

Author notes

    • Lani F. Wu
    •  & Steven J. Altschuler

    Current address: Bauer Center for Genomics Research, Harvard University, Cambridge, Massachusetts, USA.

    • Lani F. Wu
    •  & Timothy R. Hughes

    These authors contributed equally to this manuscript.

Affiliations

  1. Rosetta Inpharmatics, Kirkland, Washington, USA.

    • Lani F. Wu
    • , Timothy R. Hughes
    • , Roland Stoughton
    •  & Steven J. Altschuler
  2. Banting and Best Department of Medical Research, University of Toronto, Toronto, Canada.

    • Timothy R. Hughes
    • , Armaity P. Davierwala
    •  & Mark D. Robinson

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Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Steven J. Altschuler.

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DOI

https://doi.org/10.1038/ng906

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