A Three Stage Integrative Pathway Search (TIPS) framework to identify toxicity relevant genes and pathways.

Area of Science:

• Systems biology
• Bioinformatics
• Network reconstruction

Background:

• High-throughput technologies enable pathway and network reconstruction.
• Genome-wide network reconstruction often lacks sufficient data for mammalian systems.
• Limited perturbation data presents a challenge for studying cellular pathways.

Purpose of the Study:

• To develop a novel approach for reconstructing context-specific active pathways.
• To identify pathways conferring specific phenotypes, such as cytotoxicity.
• To overcome data limitations in mammalian cell system research.

Main Methods:

• Developed the Three Stage Integrative Pathway Search (TIPS) approach.
• Integrated gene expression and cytotoxicity profiles.
• Utilized Bayesian network (BN) analysis for network reconstruction and prediction.

Main Results:

• Identified a network of pathways involved in free fatty acid (FFA) and tumor necrosis factor-alpha (TNF-alpha) induced cytotoxicity.
• Reconstructed context-specific active pathways conferring cytotoxicity in human liver cells.
• Validated predictions through literature review and experimental data.

Conclusions:

• The TIPS approach successfully reconstructs active pathways for specific phenotypes.
• Gene expression and phenotypic profiles integration is key to pathway reconstruction.
• A web-based version of TIPS is available for analysis.