Next-generation sequencing of the Chinese hamster ovary microRNA transcriptome: Identification, annotation and profiling of microRNAs as targets for cellular engineering

Next-generation sequencing of the Chinese hamster ovary microRNA transcriptome: Identification, annotation and profiling of microRNAs as targets for cellular engineering

Abstract

Chinese hamster ovary (CHO) cells are the predominant cell factory for the production of recombinant therapeutic proteins. Nevertheless, the lack in publicly available sequence information is severely limiting advances in CHO cell biology, including the exploration of microRNAs (miRNA) as tools for CHO cell characterization and engineering. In an effort to identify and annotate both conserved and novel CHO miRNAs in the absence of a Chinese hamster genome, we deep-sequenced small RNA fractions of 6 biotechnologically relevant cell lines and mapped the resulting reads to an artificial reference sequence consisting of all known miRNA hairpins. Read alignment patterns and read count ratios of 5 and 3 mature miRNAs were obtained and used for an independent classification into miR/miR* and 5p/3p miRNA pairs and discrimination of miRNAs from other non-coding RNAs, resulting in the annotation of 387 mature CHO miRNAs. The quantitative content of next-generation sequencing data was analyzed and confirmed using qPCR, to find that miRNAs are markers of cell status. Finally, cDNA sequencing of 26 validated targets of miR-17-92 suggests conserved functions for miRNAs in CHO cells, which together with the now publicly available sequence information sets the stage for developing novel RNAi tools for CHO cell engineering.

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Authors
  • Hackl, Matthias
  • Jakobi, Tobias
  • Blom, Jochen
  • Doppmeier, Daniel
  • Brinkrolff, Karina
  • Sczepanowski, Rafael
  • Bernhart, Stephan
  • Höner zu Siederdissen, Christian
  • Hernandez-Bort, Juan
  • Wieser, Matthias
  • Kunert, Renate
  • Jeffs, Simon
  • Hofacker, Ivo L.
  • Goesmann, Alexander
  • Pühler, Alfred
  • Borth, Nicole
  • Grillari, Johannes
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  • Elsevier
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Shortfacts
Category
Journal Paper
Divisions
Bioinformatics and Computational Biology
Subjects
Angewandte Informatik Sonstiges
Journal or Publication Title
Journal of Biotechnology
Publisher
Elsevier
Page Range
pp. 62-75
Number
1-2
Volume
153
Date
2011
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