LC-MS/MS-based quantitative proteomic and phosphoproteomic analysis of CHO-K1 cells adapted to growth in glutamine-free media.

Objectives: This study aims to provide insights into the molecular mechanisms underlying adaptation of CHO-K1 cells to growth in glutamine-free media and potentially identifying critical signalling proteins and pathways involved in this phenotype.

Results: A CHO-K1 cell line adapted to growth in glutamine-free media was established using a straightforward one-step glutamine reduction strategy. The adapted cell line had a comparable phenotype to the parental cells in terms of cell growth and viability.

Expanding the Chinese hamster ovary cell long noncoding RNA transcriptome using RNASeq.

Our ability to study Chinese hamster ovary (CHO) cell biology has been revolutionised over the last decade following the development of next generation sequencing technology and publication of reference DNA sequences for CHO cells and the Chinese hamster. RNA sequencing has not only enabled the association of transcript expression with bioreactor conditions and desirable bioprocess phenotypes but played a key role in the characterisation of protein coding and small noncoding RNAs. The annotation of long noncoding RNAs, and therefore our understanding of their role in CHO cell biology, has been limited to date.

Exploring the Potential Application of Short Non-Coding RNA-Based Genetic Circuits in Chinese Hamster Ovary Cells.

The majority of cell engineering for recombinant protein production to date has relied on traditional genetic engineering strategies, such as gene overexpression and gene knock-outs, to substantially improve the production capabilities of Chinese Hamster Ovary (CHO) cells. However, further improvements in cellular productivity or control over product quality is likely to require more sophisticated rational approaches to coordinate and balance cellular pathways. For these strategies to be implemented, novel molecular tools need to be developed to facilitate more refined control of gene expression.