4.7 Article

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

Journal

METHODS
Volume 86, Issue -, Pages 89-101

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2015.06.012

Keywords

Differential RNA-seq; Transcriptional start sites; Comparative transcriptomics; Small RNAs; Promoter motifs; Gene regulation; 5'UTR

Funding

  1. ZINF Young Investigator program at the Research Center for Infectious Diseases (ZINF) in Wurzburg, Germany
  2. Bavarian Research Network for Molecular Biosystems (BioSysNet)
  3. DFG [Sh580/1-1]
  4. Daimler-Benz-Foundation
  5. Young Academy program of the Bavarian Academy of Sciences

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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.

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