Differential RNA-seq (dRNA-seq) for annotation of transcriptional start sites and small RNAs in Helicobacter pylori

被引:36
作者
Bischler, Thorsten [1 ]
Tan, Hock Siew [1 ]
Nieselt, Kay [2 ]
Sharma, Cynthia M. [1 ]
机构
[1] Univ Wurzburg, Res Ctr Infect Dis ZINF, D-97080 Wurzburg, Germany
[2] Univ Tubingen, Integrat Transcript, ZBIT Ctr Bioinformat Tubingen, D-72076 Tubingen, Germany
关键词
Differential RNA-seq; Transcriptional start sites; Comparative transcriptomics; Small RNAs; Promoter motifs; Gene regulation; 5'UTR; MESSENGER-RNA; ANTISENSE RNA; REVEALS; IDENTIFICATION; INITIATION; SEQUENCE; DEFINES; TOOL;
D O I
10.1016/j.ymeth.2015.06.012
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The global mapping of transcription boundaries is a key step in the elucidation of the full complement of transcriptional features of an organism. It facilitates the annotation of operons and untranslated regions as well as novel transcripts, including cis- and trans-encoded small RNAs (sRNAs). So called RNA sequencing (RNA-seq) based on deep sequencing of cDNAs has greatly facilitated transcript mapping with single nucleotide resolution. However, conventional RNA-seq approaches typically cannot distinguish between primary and processed transcripts. Here we describe the recently developed differential RNA-seq (dRNA-seq) approach, which facilitates the annotation of transcriptional start sites (TSS) based on deep sequencing of two differentially treated cDNA library pairs, with one library being enriched for primary transcripts. Using the human pathogen Helicobacter pylori as a model organism, we describe the application of dRNA-seq together with an automated TSS annotation approach for generation of a genome-wide TSS map in bacteria. Besides a description of transcriptome and regulatory features that can be identified by this approach, we discuss the impact of different library preparation protocols and sequencing platforms as well as manual and automated TSS annotation. Moreover, we have set up an easily accessible online browser for visualization of the H. pylori transcriptome data from this and our previous H. pylori dRNA-seq study. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:89 / 101
页数:13
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