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

Andrew Behrens, Danny D. Nedialkova

2022STAR Protocols27 citationsDOIOpen Access PDF

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).

Topics & Concepts

WorkflowComputer scienceTransfer RNAVisualizationComputational biologySimilarity (geometry)Translation (biology)Messenger RNAData miningBiologyDatabaseGeneticsArtificial intelligenceRNAGeneImage (mathematics)RNA modifications and cancerRNA and protein synthesis mechanismsCancer-related molecular mechanisms research
Experimental and computational workflow for the analysis of tRNA pools from eukaryotic cells by mim-tRNAseq | Litcius