Evolving systems biology approaches to understanding non-coding RNAs in pulmonary hypertension

J Physiol. 2019 Feb;597(4):1199-1208. doi: 10.1113/JP275855. Epub 2018 Sep 2.

Abstract

Our appreciation of the roles of non-coding RNAs, in particular microRNAs, in the manifestation of pulmonary hypertension (PH) has advanced considerably over the past decade. Comprised of small nucleotide sequences, microRNAs have demonstrated critical and broad regulatory roles in the pathogenesis of PH via the direct binding to messenger RNA transcripts for degradation or inhibition of translation, thereby exerting a profound influence on cellular activity. Yet, as inherently pleiotropic molecules, microRNAs have been difficult to study using traditional, reductionist approaches alone. With the advent of high-throughput -omics technologies and more advanced computational modelling, the study of microRNAs and their multi-faceted and complex functions in human disease serves as a fertile platform for the application of systems biology methodologies in combination with traditional experimental techniques. Here, we offer our viewpoint of past successes of systems biology in elucidating the otherwise hidden actions of microRNAs in PH, as well as areas for future development to integrate these strategies into the discovery of RNA pathobiology in this disease. We contend that such successful applications of systems biology in elucidating the functional architecture of microRNA regulation will further reveal the molecular mechanisms of disease, while simultaneously revealing potential diagnostic and therapeutic strategies in disease amelioration.

Keywords: microRNA; non-coding RNA; pulmonary hypertension; systems biology.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Humans
  • Hypertension, Pulmonary / genetics
  • Hypertension, Pulmonary / metabolism*
  • Hypertension, Pulmonary / pathology
  • RNA, Long Noncoding / genetics
  • RNA, Long Noncoding / metabolism*
  • Systems Biology / methods*

Substances

  • RNA, Long Noncoding