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Characterizing the relationship between protein-fusion and gene co-expression.

C S Gunther1, T Gaasterland

  • 1Laboratory of Computational Genomics, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA. csgunther@genomes.rockfeller.edu

Genome Informatics. International Conference on Genome Informatics
|January 16, 2002
PubMed
Summary

Protein fusion patterns in yeast (Saccharomyces cerevisiae) correlate with gene co-expression. This study reveals that genes encoding fused proteins are more likely to be transcribed together, aiding in understanding gene co-expression clusters.

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Area of Science:

  • Genomics
  • Proteomics
  • Systems Biology

Background:

  • Distinct proteins in one organism can homologize to different parts of a single protein in another.
  • Previous work showed proteins with fused homologs are more likely to interact.

Purpose of the Study:

  • To investigate if genes encoding fused proteins are concurrently transcribed.
  • To determine the relationship between protein fusion patterns and gene co-expression.

Main Methods:

  • Identified 1010 fused protein pairs in the yeast (Saccharomyces cerevisiae) genome.
  • Analyzed transcriptional profiles of genes encoding these fused protein pairs.
  • Compared transcriptional similarity of fused gene pairs to randomly selected pairs using multiple distance metrics.

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Main Results:

  • Transcriptional profiles of fused gene pairs were significantly closer than random pairs.
  • This finding was reproducible across different distance metrics.
  • Fused protein pairs often share other biologically relevant properties.

Conclusions:

  • Protein fusion patterns are not predictive of co-expression but are important explanatory factors.
  • Curated protein fusion events can aid in characterizing gene co-expression clusters.
  • Highlights the link between protein structure evolution and gene expression regulation.