Characterizing regulatory path motifs in integrated networks using perturbational data

Genome Biol. 2010;11(3):R32. doi: 10.1186/gb-2010-11-3-r32. Epub 2010 Mar 11.

Abstract

We introduce Pathicular http://bioinformatics.psb.ugent.be/software/details/Pathicular, a Cytoscape plugin for studying the cellular response to perturbations of transcription factors by integrating perturbational expression data with transcriptional, protein-protein and phosphorylation networks. Pathicular searches for 'regulatory path motifs', short paths in the integrated physical networks which occur significantly more often than expected between transcription factors and their targets in the perturbational data. A case study in Saccharomyces cerevisiae identifies eight regulatory path motifs and demonstrates their biological significance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromatin Immunoprecipitation
  • Computational Biology / methods*
  • Computer Simulation
  • Gene Expression Regulation / genetics*
  • Gene Regulatory Networks / genetics*
  • Metabolic Networks and Pathways / genetics*
  • Models, Genetic
  • Saccharomyces cerevisiae
  • Signal Transduction / genetics*
  • Software*
  • Transcription Factors / genetics*
  • Transcription Factors / metabolism

Substances

  • Transcription Factors