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PPIXpress: construction of condition-specific protein interaction networks based on transcript expression.

Thorsten Will1, Volkhard Helms2

  • 1Center for Bioinformatics and Graduate School of Computer Science, Saarland University, Saarbrücken, Germany.

Bioinformatics (Oxford, England)
|October 29, 2015
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Summary

This study introduces PPIXpress, a novel method for constructing condition-specific protein-protein interaction networks using transcript-level expression data. It reveals more significant cancer-related alterations in breast cancer than gene expression-only methods.

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Genomics

Background:

  • Protein-protein interaction networks are crucial in systems biology but often lack condition-specific tailoring.
  • Existing methods may not fully capture cellular complexity due to limitations in incorporating transcript-level variations.

Purpose of the Study:

  • To develop a novel network construction method that leverages transcript-level expression data.
  • To reveal condition-specific alterations in protein connectivity, including those from alternative splicing.
  • To provide a user-friendly tool, PPIXpress, for generating contextualized protein interaction networks.

Main Methods:

  • Exploited transcript-level expression data to tailor protein interaction network topology.
  • Established a correspondence between protein and domain interactions to infer condition-specific interactions.
  • Utilized dominant protein isoforms to determine interaction presence in specific cellular conditions.
  • Compared transcript-based networks with gene expression-based networks in breast cancer samples.

Main Results:

  • The transcript-based network construction identified more significant alterations in cancerogenesis-associated proteins compared to gene expression-only methods.
  • The method successfully revealed changes in protein connectivity influenced by both differential gene expression and alternative splicing.
  • Contextualized interaction networks provided deeper insights into breast cancer biology.

Conclusions:

  • Transcript-level data provides a more comprehensive view of condition-specific protein-protein interactions.
  • PPIXpress offers an advanced approach for building accurate and relevant biological networks.
  • This method enhances the understanding of molecular mechanisms in diseases like cancer.