IntroductionChinese hamster ovary (CHO) cells are the predominant cellular factories used in the biopharmaceutical industry for recombinant protein production due to the human‐like glycosylation properties. Despite the success of empirical approaches toward process development around CHO cells over the past few decades, mechanism‐driven approaches are more impactful to understand multi‐dimensional relationships between critical quality attributes (CQAs) and critical process parameters (CPPs) which is essential for modulating product quality to meet comparability and biosimilarity. To enable mechanism‐driven cell line engineering and bioprocess optimization, a comprehensive understanding of the molecular mechanisms beyond CHO cell physiology is necessary. One avenue to obtain this understanding is through omics approaches which characterize the building blocks within CHO cells including genes, mRNAs, proteins, metabolites, and the interactions among these components.DNA microarray technology is a well‐established omics tool for gene expression profiling in species with sequenced genomes. The lack of annotated sequence data for CHO cells has limited the establishment of a robust CHO‐specific microarray platform. In the past, there have been attempts to build custom CHO microarrays using publicly available and/or proprietary CHO transcriptome sequences. For example, Hu et al. developed a CHO microarray covering 2602 unique transcripts using EST sequencing. A similar CHO microarray
Biotechnology Journal – Wiley
Published: Jan 1, 2018
Keywords: ; ; ; ;
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