Mining diverse small RNA species in the deep transcriptome

Trends Biochem Sci. 2015 Jan;40(1):4-7. doi: 10.1016/j.tibs.2014.10.009. Epub 2014 Nov 27.

Abstract

Transcriptomes of many species are proving to be exquisitely diverse, and many investigators are now using high-throughput sequencing to quantify non-protein-coding RNAs, namely small RNAs (sRNA). Unfortunately, most studies are focused solely on microRNA changes, and many investigators are not analyzing the full compendium of sRNA species present in their large datasets. We provide here a rationale to include all types of sRNAs in sRNA sequencing analyses, which will aid in the discovery of their biological functions and physiological relevance.

Keywords: RNA sequencing; data analysis; high-throughput sequencing; long-noncoding RNA; microRNA; small RNA; transcriptome.

Publication types

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

MeSH terms

  • High-Throughput Nucleotide Sequencing
  • MicroRNAs / genetics
  • RNA, Small Untranslated / classification
  • RNA, Small Untranslated / genetics*
  • Transcriptome*

Substances

  • MicroRNAs
  • RNA, Small Untranslated