Exploring pathway interactions in insulin resistant mouse liver.

ABSTRACT:

Background

Complex phenotypes such as insulin resistance involve different biological pathways that may interact and influence each other. Interpretation of related experimental data would be facilitated by identifying relevant pathway interactions in the context of the dataset.

Results

We developed an analysis approach to study interactions between pathways by integrating gene and protein interaction networks, biological pathway information and high-throughput data. This approach was applied to a transcriptomics dataset to investigate pathway interactions in insulin resistant mouse liver in response to a glucose challenge. We identified regulated pathway interactions at different time points following the glucose challenge and also studied the underlying protein interaction

SUBMITTER: Kelder T 

PROVIDER: S-EPMC3169508 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature