Detecting Rewiring Events in Protein-Protein Interaction Networks Based on Transcriptomic Data.

Area of Science:

• Molecular Biology
• Systems Biology
• Bioinformatics

Background:

• Eukaryotic proteins function through interactions, forming complex protein-protein interaction (PPI) networks.
• Cellular context dictates protein expression and isoform presence, necessitating condition-specific network analysis.
• The full interactome is often too complex; focusing on expressed proteins and specific isoforms is crucial.

Purpose of the Study:

• To review computational approaches, software, and web services for constructing context-specific and tissue-specific PPI networks.
• To demonstrate how PPI networks change (rewire) between different cellular conditions.
• To provide a framework for integrating PPI network analysis with other biological data types.

Main Methods:

• Review of existing literature and bioinformatics tools for PPI network construction.
• Utilizing RNA-seq data to identify expressed proteins and specific isoforms.
• Comparative analysis of PPI networks under different cellular conditions.
• Case study using the human TNR6 protein interactions.

Main Results:

• Multiple computational tools and web services exist for generating context-specific PPI networks.
• These tools allow for the identification of condition-specific protein interactions and network rewiring.
• The TNR6 protein serves as an illustrative example for network construction and analysis.

Conclusions:

• Context-specific PPI network analysis is essential for understanding cellular functions.
• Available tools facilitate the construction and analysis of dynamic, condition-specific interactomes.
• Future directions include integrating PPI networks with epigenetic and splicing factor activity data for a more comprehensive systems biology approach.