Literature DB >> 31128237

Robust mapping of polyadenylated and non-polyadenylated RNA 3' ends at nucleotide resolution by 3'-end sequencing.

Kevin R Roy1, Guillaume F Chanfreau2.   

Abstract

3'-end poly(A)+ sequencing is an efficient and economical method for global measurement of mRNA levels and alternative poly(A) site usage. A common method involves oligo(dT)19V reverse-transcription (RT)-based library preparation and high-throughput sequencing with a custom primer ending in (dT)19. While the majority of library products have the first sequenced nucleotide reflect the bona fide poly(A) site (pA), a substantial fraction of sequencing reads arise from various mis-priming events. These can result in incorrect pA site calls anywhere from several nucleotides downstream to several kilobases upstream from the bona fide pA site. While these mis-priming events can be mitigated by increasing annealing stringency (e.g. increasing temperature from 37 °C to 42 °C), they still persist at an appreciable level (∼10%) and computational methods must be used to prevent artifactual calls. Here we present a bioinformatics workflow for precise mapping of poly(A)+ 3' ends and handling of artifacts due to oligo(dT) mis-priming and sample polymorphisms. We test pA site calling with three different read mapping programs (STAR, BWA, and BBMap), and show that the way in which each handles terminal mismatches and soft clipping has a substantial impact on identifying correct pA sites, with BWA requiring the least post-processing to correct artifacts. We demonstrate the use of this pipeline for mapping pA sites in the model eukaryote S. cerevisiae, and further apply this technology to non-polyadenylated transcripts by employing in vitro polyadenylation prior to library prep (IVP-seq). As proof of principle, we show that a fraction of tRNAs harbor CCU 3' tails instead of the canonical CCA tail, and globally identify 3' ends of splicing intermediates arising from inefficiently spliced transcripts.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31128237      PMCID: PMC6874744          DOI: 10.1016/j.ymeth.2019.05.016

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  26 in total

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Authors:  Stefan Wilkening; Vicent Pelechano; Lars M Steinmetz
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2.  Transcription termination by nuclear RNA polymerases.

Authors:  Patricia Richard; James L Manley
Journal:  Genes Dev       Date:  2009-06-01       Impact factor: 11.361

3.  Polyadenylation Site-Based Analysis of Transcript Expression by 3'READS.

Authors:  Dinghai Zheng; Bin Tian
Journal:  Methods Mol Biol       Date:  2017

Review 4.  Alternative cleavage and polyadenylation: the long and short of it.

Authors:  Bin Tian; James L Manley
Journal:  Trends Biochem Sci       Date:  2013-04-27       Impact factor: 13.807

5.  An efficient method for genome-wide polyadenylation site mapping and RNA quantification.

Authors:  Stefan Wilkening; Vicent Pelechano; Aino I Järvelin; Manu M Tekkedil; Simon Anders; Vladimir Benes; Lars M Steinmetz
Journal:  Nucleic Acids Res       Date:  2013-01-07       Impact factor: 16.971

6.  Formation, regulation and evolution of Caenorhabditis elegans 3'UTRs.

Authors:  Calvin H Jan; Robin C Friedman; J Graham Ruby; David P Bartel
Journal:  Nature       Date:  2010-11-17       Impact factor: 49.962

7.  Single-cell polyadenylation site mapping reveals 3' isoform choice variability.

Authors:  Lars Velten; Simon Anders; Aleksandra Pekowska; Aino I Järvelin; Wolfgang Huber; Vicent Pelechano; Lars M Steinmetz
Journal:  Mol Syst Biol       Date:  2015-06-03       Impact factor: 11.429

8.  3'READS+, a sensitive and accurate method for 3' end sequencing of polyadenylated RNA.

Authors:  Dinghai Zheng; Xiaochuan Liu; Bin Tian
Journal:  RNA       Date:  2016-08-10       Impact factor: 4.942

9.  Analysis of alternative cleavage and polyadenylation by 3' region extraction and deep sequencing.

Authors:  Mainul Hoque; Zhe Ji; Dinghai Zheng; Wenting Luo; Wencheng Li; Bei You; Ji Yeon Park; Ghassan Yehia; Bin Tian
Journal:  Nat Methods       Date:  2012-12-16       Impact factor: 28.547

10.  Extensive transcriptional heterogeneity revealed by isoform profiling.

Authors:  Vicent Pelechano; Wu Wei; Lars M Steinmetz
Journal:  Nature       Date:  2013-04-24       Impact factor: 49.962

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Journal:  BMC Genomics       Date:  2022-01-10       Impact factor: 3.969

5.  Tailer: a pipeline for sequencing-based analysis of nonpolyadenylated RNA 3' end processing.

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Journal:  RNA       Date:  2022-02-18       Impact factor: 5.636

  5 in total

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