Computationally Modeling ncRNA-ncRNA Crosstalk

Adv Exp Med Biol. 2018:1094:77-86. doi: 10.1007/978-981-13-0719-5_8.

Abstract

Our understanding of complex gene regulatory networks have been improved by the discovery of ncRNA-ncRNA crosstalk in normal and disease-specific physiological conditions. Previous studies have proposed numerous approaches for constructing ncRNA-ncRNA networks via ncRNA-mRNA regulation, functional information, or phenomics alone, or by combining heterogeneous data. Furthermore, it has been shown that ncRNA-ncRNA crosstalk can be rewired in different tissues or specific diseases. Therefore, it is necessary to integrate transcriptome data to construct context-specific ncRNA-ncRNA networks. In this chapter, we elucidated the commonly used ncRNA-ncRNA network modeling methods, and highlighted the need to integrate heterogeneous multi-mics data. Finally, we suggest future directions for studies of ncRNAs crosstalk. This comprehensive description and discussion elucidated in this chapter will provide constructive insights into ncRNA-ncRNA crosstalk.

Keywords: Genomics; Global and context specific; Phenomics; miRNA-miRNA crosstalk; miRNA-target interaction.

Publication types

  • Review

MeSH terms

  • Computational Biology
  • Gene Regulatory Networks*
  • Humans
  • RNA, Messenger / genetics*
  • RNA, Untranslated / genetics*
  • Transcriptome

Substances

  • RNA, Messenger
  • RNA, Untranslated