Preeclampsia: a bioinformatics approach through protein-protein interaction networks analysis.

ABSTRACT:

Background

In this study we explored preeclampsia through a bioinformatics approach. We create a comprehensive genes/proteins dataset by the analysis of both public proteomic data and text mining of public scientific literature. From this dataset the associated protein-protein interaction network has been obtained. Several indexes of centrality have been explored for hubs detection as well as the enrichment statistical analysis of metabolic pathway and disease.

Results

We confirmed the well known relationship between preeclampsia and cardiovascular diseases but also identified statistically significant relationships with respect to cancer and aging. Moreover, significant metabolic pathways such as apoptosis, cancer and cytokine-cytokine receptor interaction have also been id

SUBMITTER: Tejera E 

PROVIDER: S-EPMC3483240 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature