RNA‐Seq Highlights High Clonal Variation in Monoclonal Antibody Producing CHO Cells

RNA‐Seq Highlights High Clonal Variation in Monoclonal Antibody Producing CHO Cells IntroductionThe development of next‐generation sequencing technologies (NGS) has opened new opportunities to better characterize complex eukaryotic cells at the transcriptome level. RNA sequencing (RNA‐Seq) has proven highly accurate and reproducible on expression level measurements and has many advantages over previous technologies such as microarrays. Almost the whole transcriptome can be measured at once and it is not limited to organisms with known genomic sequence. RNA‐Seq provides single‐base resolution for annotation, distinguishing different splice variant forms and single‐nucleotide polymorphisms. It has very low background signal, enabling measurement of low abundant transcripts, and a wide dynamic range as there is no upper‐limit for quantification. Finally, a relatively small amount of total RNA is required compared to microarrays.The comparison of different cell scenarios is a way to extract meaningful information out of “omics” approaches. Thereby, contrasting transcriptomics data from different culture conditions or cell lines can allow finding features related to those specific phenotypes. Chinese Hamster Ovary (CHO) cells are the preferred host for recombinant therapeutic protein production, currently being used for the production of five of the top ten blockbuster drugs. The recombinant protein yield in mammalian cells has increased more than 100‐fold over the past three decades largely through media http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biotechnology Journal Wiley

RNA‐Seq Highlights High Clonal Variation in Monoclonal Antibody Producing CHO Cells

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Publisher
Wiley
Copyright
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
ISSN
1860-6768
eISSN
1860-7314
D.O.I.
10.1002/biot.201700231
Publisher site
See Article on Publisher Site

Abstract

IntroductionThe development of next‐generation sequencing technologies (NGS) has opened new opportunities to better characterize complex eukaryotic cells at the transcriptome level. RNA sequencing (RNA‐Seq) has proven highly accurate and reproducible on expression level measurements and has many advantages over previous technologies such as microarrays. Almost the whole transcriptome can be measured at once and it is not limited to organisms with known genomic sequence. RNA‐Seq provides single‐base resolution for annotation, distinguishing different splice variant forms and single‐nucleotide polymorphisms. It has very low background signal, enabling measurement of low abundant transcripts, and a wide dynamic range as there is no upper‐limit for quantification. Finally, a relatively small amount of total RNA is required compared to microarrays.The comparison of different cell scenarios is a way to extract meaningful information out of “omics” approaches. Thereby, contrasting transcriptomics data from different culture conditions or cell lines can allow finding features related to those specific phenotypes. Chinese Hamster Ovary (CHO) cells are the preferred host for recombinant therapeutic protein production, currently being used for the production of five of the top ten blockbuster drugs. The recombinant protein yield in mammalian cells has increased more than 100‐fold over the past three decades largely through media

Journal

Biotechnology JournalWiley

Published: Jan 1, 2018

Keywords: ; ; ; ;

References

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