Literature DB >> 34085244

A Small RNA-Seq Protocol with Less Bias and Improved Capture of 2'-O-Methyl RNAs.

Erwin L van Dijk1, Claude Thermes2.   

Abstract

The study of small RNAs (sRNAs) by next-generation sequencing (NGS) is challenged by bias issues during library preparation. Several types of sRNAs such as plant microRNAs (miRNAs) carry a 2'-O-methyl (2'-OMe) modification at their 3' terminal nucleotide. This modification adds another level of difficulty as it inhibits 3' adapter ligation. We previously demonstrated that modified versions of the "TruSeq (TS)" protocol have less bias and an improved detection of 2'-OMe RNAs. Here we describe in detail protocol "TS5," which showed the best overall performance. We also provide guidelines for bioinformatics analysis of the sequencing data.

Entities:  

Keywords:  2′-O-methyl (2′-OMe) RNA; Bias; Library preparation; NGS; Next-generation sequencing; Plant miRNA; Plant microRNA; Small RNA; Small RNA-seq

Year:  2021        PMID: 34085244     DOI: 10.1007/978-1-0716-1374-0_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  18 in total

1.  A bias-reducing strategy in profiling small RNAs using Solexa.

Authors:  Guihua Sun; Xiwei Wu; Jinhui Wang; Haiqing Li; Xuejun Li; Hanlin Gao; John Rossi; Yun Yen
Journal:  RNA       Date:  2011-10-20       Impact factor: 4.942

2.  Optimization of enzymatic reaction conditions for generating representative pools of cDNA from small RNA.

Authors:  Daniela B Munafó; G Brett Robb
Journal:  RNA       Date:  2010-10-04       Impact factor: 4.942

Review 3.  microRNAs in vertebrate physiology and human disease.

Authors:  Tsung-Cheng Chang; Joshua T Mendell
Journal:  Annu Rev Genomics Hum Genet       Date:  2007       Impact factor: 8.929

4.  RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries.

Authors:  Markus Hafner; Neil Renwick; Miguel Brown; Aleksandra Mihailović; Daniel Holoch; Carolina Lin; John T G Pena; Jeffrey D Nusbaum; Pavel Morozov; Janos Ludwig; Tolulope Ojo; Shujun Luo; Gary Schroth; Thomas Tuschl
Journal:  RNA       Date:  2011-07-20       Impact factor: 4.942

Review 5.  Library preparation methods for next-generation sequencing: tone down the bias.

Authors:  Erwin L van Dijk; Yan Jaszczyszyn; Claude Thermes
Journal:  Exp Cell Res       Date:  2014-01-15       Impact factor: 3.905

6.  Reducing ligation bias of small RNAs in libraries for next generation sequencing.

Authors:  Karim Sorefan; Helio Pais; Adam E Hall; Ana Kozomara; Sam Griffiths-Jones; Vincent Moulton; Tamas Dalmay
Journal:  Silence       Date:  2012-05-30

Review 7.  Small silencing RNAs: an expanding universe.

Authors:  Megha Ghildiyal; Phillip D Zamore
Journal:  Nat Rev Genet       Date:  2009-02       Impact factor: 53.242

8.  Small RNA expression profiling by high-throughput sequencing: implications of enzymatic manipulation.

Authors:  Fanglei Zhuang; Ryan T Fuchs; G Brett Robb
Journal:  J Nucleic Acids       Date:  2012-06-20

9.  Identification and remediation of biases in the activity of RNA ligases in small-RNA deep sequencing.

Authors:  Anitha D Jayaprakash; Omar Jabado; Brian D Brown; Ravi Sachidanandam
Journal:  Nucleic Acids Res       Date:  2011-09-02       Impact factor: 16.971

10.  Structural bias in T4 RNA ligase-mediated 3'-adapter ligation.

Authors:  Fanglei Zhuang; Ryan T Fuchs; Zhiyi Sun; Yu Zheng; G Brett Robb
Journal:  Nucleic Acids Res       Date:  2012-01-12       Impact factor: 16.971

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