tDRmapper: challenges and solutions to mapping, naming, and quantifying tRNA-derived RNAs from human small RNA-sequencing data

BMC Bioinformatics. 2015 Nov 4:16:354. doi: 10.1186/s12859-015-0800-0.

Abstract

Background: Small RNA-sequencing has revealed the diversity and high abundance of small RNAs derived from tRNAs, referred to as tRNA-derived RNAs. However, at present, there is no standardized nomenclature and there are no methods for accurate annotation and quantification of these small RNAs. tRNA-derived RNAs have unique features that limit the utility of conventional alignment tools and quantification methods.

Results: We describe here the challenges of mapping, naming, and quantifying tRNA-derived RNAs and present a novel method that addresses them, called tDRmapper. We then use tDRmapper to perform a comparative analysis of tRNA-derived RNA profiles across different human cell types and diseases. We found that (1) tRNA-derived RNA profiles can differ dramatically across different cell types and disease states, (2) that positions and types of chemical modifications of tRNA-derived RNAs vary by cell type and disease, and (3) that entirely different tRNA-derived RNA species can be produced from the same parental tRNA depending on the cell type.

Conclusion: tDRmappernot only provides a standardized nomenclature and quantification scheme, but also includes graphical visualization that facilitates the discovery of novel tRNA and tRNA-derived RNA biology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Base Sequence
  • Cell Differentiation
  • Databases, Nucleic Acid*
  • Humans
  • MicroRNAs / genetics*
  • Molecular Sequence Data
  • Organ Specificity
  • RNA Precursors / genetics
  • RNA, Transfer / genetics*
  • Sequence Alignment
  • Sequence Analysis, RNA / methods*
  • Software*

Substances

  • MicroRNAs
  • RNA Precursors
  • RNA, Transfer