Biotechnology and BioengineeringSystems BiologyPeer-reviewed journal article
Multi-omics profiling of CHO parental hosts reveals cell line-specific variations in bioprocessing traits
Meiyappan LakshmananiD, Yee Jiun KokiD, Alison LeeiD, Sarantos Kyriakopoulos, Hsueh Lee Lim, Gavin Teo, Swan Li Poh, Wen Qin TangiD, Jong Kwang HongiD, Andy Hee‐Meng TaniD, Xuezhi BiiD, Ying Swan HoiD, Peiqing ZhangiD, Say Kong NgiD, Dong‐Yup LeeiD
Abstract
Chinese hamster ovary (CHO) cells are the most prevalent mammalian cell factories for producing recombinant therapeutic proteins due to their ability to synthesize human-like post-translational modifications and ease of maintenance in suspension cultures. Currently, a wide variety of CHO host cell lines have been developed; substantial differences exist in their phenotypes even when transfected with the same target vector. However, relatively less is known about the influence of their inherited genetic heterogeneity on phenotypic traits and production potential from the bioprocessing point of view. Herein, we present a global transcriptome and proteome profiling of three commonly used parental cell lines (CHO-K1, CHO-DXB11 and CHO-DG44) in suspension cultures and further report their growth-related characteristics, and N- and O-glycosylation patterns of host cell proteins (HCPs). The comparative multi-omics analysis indicated that some physiological variations of CHO cells grown in the same media are possibly originated from the genetic deficits, particularly in the cell cycle progression. Moreover, the dihydrofolate reductase deficient DG44 and DXB11 possess relatively less active metabolism when compared to K1 cells. The protein processing abilities and the N- and O-glycosylation profiles also differ significantly across the host cell lines, suggesting the need to select host cells in a rational manner for the cell line development on the basis of recombinant protein being produced.
- organism: mouse
- assay: bulk RNA-seq
- assay: proteomics
- research focus: benchmarking
- approach: statistical model
- Citations
- 56
- FWCI
- 2.07
- Field percentile
- top 12%
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