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MSF: Modulated Sub-graph Finder.

Mariam R Farman1, Ivo L Hofacker1, Fabian Amman1,2

  • 1Institute for Theoretical Chemistry,Theoretical Biochemistry Group,, University of Vienna, Vienna, 1090, Austria.

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Summary
This summary is machine-generated.

This study introduces Modulated Sub-graph Finder (MSF), a new tool for analyzing gene expression data. MSF identifies coordinated pathway changes by integrating gene interactions, improving upon traditional differential gene expression analysis.

Keywords:
Differential gene expression analysiscell signalling networkcombining p-valuepathway analysis

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • High-throughput techniques like RNA-seq enable global gene expression analysis.
  • Differential gene expression analysis (DGEA) identifies significant gene changes but often oversimplifies biological complexity.
  • Existing pathway analysis methods struggle with pathway crosstalk and arbitrary p-value cutoffs.

Purpose of the Study:

  • To develop a novel computational approach for identifying concertedly modulated sub-graphs within cellular signaling networks.
  • To overcome limitations of traditional DGEA and pathway analysis by considering gene interaction topology and all tested genes.

Main Methods:

  • Developed Modulated Sub-graph Finder (MSF), a software tool.
  • Integrated gene expression patterns with interaction network topology.
  • Analyzed DGEA results across all tested genes to infer information flow and identify effectors.

Main Results:

  • Identified concertedly modulated sub-graphs in the global cell signaling network.
  • The MSF approach accounts for gene interactions and crosstalk between pathways.
  • Provides a more nuanced interpretation of large gene lists from DGEA.

Conclusions:

  • MSF offers a novel method for interpreting complex gene expression data by analyzing network topology.
  • This approach enhances understanding of cellular responses to stimuli or disease by revealing coordinated pathway activities.
  • MSF is freely available, facilitating broader application in biological research.