Portrait of Tissue-Specific Coexpression Networks of Noncoding RNAs (miRNA and lncRNA) and mRNAs in Normal Tissues

Comput Math Methods Med. 2019 Sep 3:2019:9029351. doi: 10.1155/2019/9029351. eCollection 2019.

Abstract

Genes that encode proteins playing a role in more than one biological process are frequently dependent on their tissue context, and human diseases result from the altered interplay of tissue- and cell-specific processes. In this work, we performed a computational approach that identifies tissue-specific co-expression networks by integrating miRNAs, long-non-coding RNAs, and mRNAs in more than eight thousands of human samples from thirty normal tissue types. Our analysis (1) shows that long-non coding RNAs and miRNAs have a high specificity, (2) confirms several known tissue-specific RNAs, and (3) identifies new tissue-specific co-expressed RNAs that are currently still not described in the literature. Some of these RNAs interact with known tissue-specific RNAs or are crucial in key cancer functions, suggesting that they are implicated in tissue specification or cell differentiation.

MeSH terms

  • Animals
  • Cell Differentiation
  • Computational Biology / methods*
  • Computer Simulation
  • Databases, Factual
  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic
  • Gene Regulatory Networks
  • Humans
  • Male
  • Mice
  • MicroRNAs / metabolism*
  • RNA, Long Noncoding / metabolism*
  • RNA, Messenger / metabolism*
  • Software
  • Tissue Distribution

Substances

  • MicroRNAs
  • RNA, Long Noncoding
  • RNA, Messenger