Experimental and computational workflow for the analysis of tRNA pools from eukaryotic cells by mim-tRNAseq

Andrew Behrens, Danny D. Nedialkova

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Quantifying tRNAs is crucial for understanding how they regulate mRNA translation but is hampered by their extensive sequence similarity and premature termination of reverse transcription at multiple modified nucleotides. Here, we describe the use of modification-induced misincorporation tRNA sequencing (mim-tRNAseq), which overcomes these limitations with optimized library construction and a comprehensive toolkit for data analysis and visualization. We outline algorithm improvements that enhance the efficiency and accuracy of read alignment and provide details on data analysis outputs using example datasets. For complete details on the use and execution of this protocol, please refer to Behrens et al. (2021).

Original languageEnglish
Pages (from-to)101579
Number of pages1
JournalSTAR Protocols
Volume3
Issue number3
DOIs
StatePublished - 16 Sep 2022

Keywords

  • Bioinformatics
  • Gene Expression
  • Molecular Biology
  • RNAseq
  • Sequencing
  • Systems biology

Fingerprint

Dive into the research topics of 'Experimental and computational workflow for the analysis of tRNA pools from eukaryotic cells by mim-tRNAseq'. Together they form a unique fingerprint.

Cite this