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

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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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Figure 1: Overview of prediction and validation approach.
Figure 2: Exploratory visualization of annotated clusters.
Figure 3: Functional prediction for POL30.
Figure 4: Validation of predictions using known annotations, for a variety of parameters and choices shown in Fig 1.
Figure 5: Cellular Role category predictions for 1,644 genes (2,368 annotations) previously unclassified by Cellular Role.
Figure 6: Northern-blot analysis of total RNA extracted from strains with TET promoters integrated upstream of genes predicted with high confidence to function in rRNA processing and modification.

Change history

  • 19 June 2002

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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.

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Correspondence to Steven J. Altschuler.

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Wu, L., Hughes, T., Davierwala, A. et al. Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters. Nat Genet 31, 255–265 (2002). https://doi.org/10.1038/ng906

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