Discovery of transcription start sites in the Chinese hamster genome by next-generation RNA sequencing

Tobias Jakobi, Karina Brinkrolf, Andreas Tauch, Thomas Noll, Jens Stoye, Alfred Pühler, Alexander Goesmann

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Chinese hamster ovary (CHO) cell lines are one of the major production tools for monoclonal antibodies, recombinant proteins, and therapeutics. Although many efforts have significantly improved the availability of sequence information for CHO cells in the last years, forthcoming draft genomes still lack the information depth known from the mouse or human genomes. Many genes annotated for CHO cells and the Chinese hamster reference genome still are in silico predictions, only insufficiently verified by biological experiments. The correct annotation of transcription start sites (TSSs) is of special interest for CHO cells, as these directly define the location of the eukaryotic core promoter. Our study aims to elucidate these largely unexplored regions, trying to shed light on promoter landscapes in the Chinese hamster genome. Based on a 5' enriched dual library RNA sequencing approach 6547 TSSs were identified, of which over 90% were assigned to known genes. These TSSs were used to perform extensive promoter studies using a novel, modular bioinformatics pipeline, incorporating analyses of important regulatory elements of the eukaryotic core promoter on per-gene level and on genomic scale.

Original languageEnglish (US)
Pages (from-to)64-75
Number of pages12
JournalJournal of Biotechnology
Volume190
DOIs
StatePublished - Nov 1 2014
Externally publishedYes

Keywords

  • Bioinformatics pipeline
  • Chinese hamster ovary cells
  • Promoter analysis
  • RNA sequencing
  • Transcription start site identification

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology

Fingerprint

Dive into the research topics of 'Discovery of transcription start sites in the Chinese hamster genome by next-generation RNA sequencing'. Together they form a unique fingerprint.

Cite this