Integrated analysis of transcript-level regulation of metabolism reveals disease-relevant nodes of the human metabolic network.

ABSTRACT: Metabolic diseases and comorbidities represent an ever-growing epidemic where multiple cell types impact tissue homeostasis. Here, the link between the metabolic and gene regulatory networks was studied through experimental and computational analysis. Integrating gene regulation data with a human metabolic network prompted the establishment of an open-sourced web portal, IDARE (Integrated Data Nodes of Regulation), for visualizing various gene-related data in context of metabolic pathways. Motivated by increasing availability of deep sequencing studies, we obtained ChIP-seq data from widely studied human umbilical vein endothelial cells. Interestingly, we found that association of metabolic genes with multiple transcription factors (TFs) enriched disease-associated genes. To demonstrate fu

SUBMITTER: Galhardo M 

PROVIDER: S-EPMC3919568 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature