Literature DB >> 35942339

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

Andrew Behrens1, Danny D Nedialkova2.   

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).
© 2022 The Author(s).

Entities:  

Keywords:  Bioinformatics; Gene Expression; Molecular Biology; RNAseq; Sequencing; Systems biology

Mesh:

Substances:

Year:  2022        PMID: 35942339      PMCID: PMC9356165          DOI: 10.1016/j.xpro.2022.101579

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


  31 in total

1.  Statistical design and analysis of RNA sequencing data.

Authors:  Paul L Auer; R W Doerge
Journal:  Genetics       Date:  2010-05-03       Impact factor: 4.562

2.  Isolation of DNA Fragments from Polyacrylamide Gels by the Crush and Soak Method.

Authors:  Michael R Green; Joseph Sambrook
Journal:  Cold Spring Harb Protoc       Date:  2019-02-01

3.  Sequencing and Structure Probing of Long RNAs Using MarathonRT: A Next-Generation Reverse Transcriptase.

Authors:  Li-Tao Guo; Rebecca L Adams; Han Wan; Nicholas C Huston; Olga Potapova; Sara Olson; Christian M Gallardo; Brenton R Graveley; Bruce E Torbett; Anna Marie Pyle
Journal:  J Mol Biol       Date:  2020-04-04       Impact factor: 5.469

4.  Transcriptome-wide measurement of translation by ribosome profiling.

Authors:  Nicholas J McGlincy; Nicholas T Ingolia
Journal:  Methods       Date:  2017-06-01       Impact factor: 3.608

5.  Biopython: freely available Python tools for computational molecular biology and bioinformatics.

Authors:  Peter J A Cock; Tiago Antao; Jeffrey T Chang; Brad A Chapman; Cymon J Cox; Andrew Dalke; Iddo Friedberg; Thomas Hamelryck; Frank Kauff; Bartek Wilczynski; Michiel J L de Hoon
Journal:  Bioinformatics       Date:  2009-03-20       Impact factor: 6.937

6.  Fast and SNP-tolerant detection of complex variants and splicing in short reads.

Authors:  Thomas D Wu; Serban Nacu
Journal:  Bioinformatics       Date:  2010-02-10       Impact factor: 6.937

7.  An optimized kit-free method for making strand-specific deep sequencing libraries from RNA fragments.

Authors:  Erin E Heyer; Hakan Ozadam; Emiliano P Ricci; Can Cenik; Melissa J Moore
Journal:  Nucleic Acids Res       Date:  2014-12-12       Impact factor: 16.971

8.  Determination of tRNA aminoacylation levels by high-throughput sequencing.

Authors:  Molly E Evans; Wesley C Clark; Guanqun Zheng; Tao Pan
Journal:  Nucleic Acids Res       Date:  2017-08-21       Impact factor: 16.971

9.  High-resolution quantitative profiling of tRNA abundance and modification status in eukaryotes by mim-tRNAseq.

Authors:  Andrew Behrens; Geraldine Rodschinka; Danny D Nedialkova
Journal:  Mol Cell       Date:  2021-02-12       Impact factor: 17.970

10.  Low-bias ncRNA libraries using ordered two-template relay: Serial template jumping by a modified retroelement reverse transcriptase.

Authors:  Heather E Upton; Lucas Ferguson; Morayma M Temoche-Diaz; Xiao-Man Liu; Sydney C Pimentel; Nicholas T Ingolia; Randy Schekman; Kathleen Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-19       Impact factor: 11.205

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