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Multi-species Conserved Sequences02:51

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COMODO: an adaptive coclustering strategy to identify conserved coexpression modules between organisms.

Peyman Zarrineh1, Ana C Fierro, Aminael Sánchez-Rodríguez

  • 1Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium.

Nucleic Acids Research
|December 15, 2010
PubMed
Summary

Identifying conserved biological processes across species is challenging. We developed conserved modules across organisms (COMODO) to objectively find the most significant conserved gene expression modules between species using gene homology.

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Area of Science:

  • Comparative genomics
  • Systems biology
  • Bioinformatics

Background:

  • Large-scale gene expression datasets (compendia) enable cross-species comparisons of biological processes.
  • Identifying conserved coexpression modules across species is complex due to variable module definitions and overlapping results.
  • Existing methods lack objective criteria for selecting the most relevant conserved module pairs.

Purpose of the Study:

  • To develop an objective method for identifying conserved gene expression modules between two species.
  • To address the challenge of selecting the most biologically relevant conserved module pairs from multiple overlapping possibilities.

Main Methods:

  • Developed the Conserved Modules Across Organisms (COMODO) method.
  • Utilizes microarray expression data and a gene homology map as input.
  • Employs a statistical criterion to select conserved module pairs based on the significance of shared homologs relative to module size.

Main Results:

  • COMODO provides an objective selection criterion for conserved modules.
  • The method successfully identified conserved coexpression modules between Escherichia coli and Bacillus subtilis.
  • The significance of shared homologs is used to rank and select the most relevant conserved module pairs.

Conclusions:

  • COMODO offers a robust and objective approach to discovering conserved biological processes across species.
  • The method enhances the reliability of cross-species comparative transcriptomics by providing a clear selection strategy.
  • This tool facilitates a deeper understanding of evolutionary conserved functions and pathways.