A review on methods for predicting miRNA-mRNA regulatory modules

J Integr Bioinform. 2022 Apr 1;19(3):20200048. doi: 10.1515/jib-2020-0048. eCollection 2022 Sep 1.

Abstract

Identification of complex interactions between miRNAs and mRNAs in a regulatory network helps better understand the underlying biological processes. Previously, identification of these interactions was based on sequence-based predicted target binding information. With the advancement in high-throughput omics technologies, miRNA and mRNA expression for the same set of samples are available. This helps develop more efficient and flexible approaches that work by integrating miRNA and mRNA expression profiles with target binding information. Since these integrative approaches of miRNA-mRNA regulatory modules (MRMs) detection is sufficiently able to capture the minute biological details, 26 such algorithms/methods/tools for MRMs identification are comprehensively reviewed in this article. The study covers the significant features underlying every method. Therefore, the methods are classified into eight groups based on mathematical approaches to understand their working and suitability for one's study. An algorithm could be selected based on the available information with the users and the biological question under investigation.

Keywords: computational methods; miRNA–mRNA regulatory modules; survey.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Computational Biology / methods
  • Gene Expression Profiling / methods
  • Gene Regulatory Networks
  • MicroRNAs* / genetics
  • MicroRNAs* / metabolism
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism

Substances

  • MicroRNAs
  • RNA, Messenger