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Meta-analysis of publicly available Chinese hamster ovary (CHO) cell transcriptomic datasets for identifying engineering targets to enhance recombinant protein yields

Tamošaitis, Linas, Smales, Mark, C (2018) Meta-analysis of publicly available Chinese hamster ovary (CHO) cell transcriptomic datasets for identifying engineering targets to enhance recombinant protein yields. Biotechnology Journal, 13 (10). p. 1800066. ISSN 1860-6768. (doi:10.1002/biot.201800066) (KAR id:67426)

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Abstract

Transcriptomics has been extensively applied to the investigation of the CHO cell platform for

is regulated and correlated to (non)desirable CHO cell attributes. However, there have been

generic targets for CHO cell platform engineering. Here we have undertaken a meta-analysis

differentially expressed with regard to cell growth (?) and productivity (Qp). By aggregating

? and Qp, using a pathway enrichment analysis and combining it with the concordance of

determining the overlap across CHO transcriptomic studies. We find that only the cell cycle

have constructed a transcriptomic ‘fingerprint’ of a high-performing cell line. This study

CHO transcriptomics and identify targets to undertake cell engineering for improved

recombinant protein output.

Item Type: Article
DOI/Identification number: 10.1002/biot.201800066
Uncontrolled keywords: Chinese hamster ovary (CHO) cells; transcriptomics; microarray and RNAseq; cell engineering; pathway enrichment
Divisions: Faculties > Sciences > School of Biosciences
Depositing User: Mark Smales
Date Deposited: 27 Jun 2018 11:31 UTC
Last Modified: 22 Jan 2020 04:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/67426 (The current URI for this page, for reference purposes)
Smales, Mark, C: https://orcid.org/0000-0002-2762-4724
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