MiRNA and TF co-regulatory network analysis for the pathology and recurrence of myocardial infarction

Sci Rep. 2015 Apr 13:5:9653. doi: 10.1038/srep09653.

Abstract

Myocardial infarction (MI) is a leading cause of death in the world and many genes are involved in it. Transcription factor (TFs) and microRNAs (miRNAs) are key regulators of gene expression. We hypothesized that miRNAs and TFs might play combinatory regulatory roles in MI. After collecting MI candidate genes and miRNAs from various resources, we constructed a comprehensive MI-specific miRNA-TF co-regulatory network by integrating predicted and experimentally validated TF and miRNA targets. We found some hub nodes (e.g. miR-16 and miR-26) in this network are important regulators, and the network can be severed as a bridge to interpret the associations of previous results, which is shown by the case of miR-29 in this study. We also constructed a regulatory network for MI recurrence and found several important genes (e.g. DAB2, BMP6, miR-320 and miR-103), the abnormal expressions of which may be potential regulatory mechanisms and markers of MI recurrence. At last we proposed a cellular model to discuss major TF and miRNA regulators with signaling pathways in MI. This study provides more details on gene expression regulation and regulators involved in MI progression and recurrence. It also linked up and interpreted many previous results.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Computational Biology
  • Databases, Genetic
  • Gene Expression Regulation*
  • Gene Regulatory Networks*
  • Humans
  • MicroRNAs / genetics*
  • Myocardial Infarction / genetics*
  • Myocardial Infarction / metabolism
  • Myocardial Infarction / pathology*
  • RNA Interference
  • RNA, Messenger / genetics
  • Recurrence
  • Reproducibility of Results
  • Signal Transduction
  • Transcription Factors / genetics*
  • Transcription Factors / metabolism

Substances

  • MIRN29a microRNA, human
  • MicroRNAs
  • RNA, Messenger
  • Transcription Factors