Vijeta Sharma, Manjul Tripathi and KJ Mukherjee
CHO cells have an impressive monopoly over other expression systems in the production of complex therapeutic proteins at large scale. There is thus a need to design superior cell lines with improved product quality and enhanced expression levels which requires an understanding of the cellular components and their interactions from a ‘systems’ point of view. With the emergence of critical ‘omics’ data sets for CHO cells which include transcriptomics, proteomics, metabolomics, fluxomics, and glycomics; some clarity has emerged in elucidating the global regulatory mechanisms that control protein over expression. Integrating this vast amount of information with bioprocess data can help point out significant targets for cellular modification that are required for hyper production. In mammalian systems, the information flow from genes to phenotype is mediated by complex regulatory networks and mathematical modeling which incorporates this framework would also assist in the identification of crucial targets for modification. This review updates recent advancements in OMICS technologies and the synergistic use of these platforms for designing improved cell lines.
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Journal of Bioprocessing & Biotechniques received 3351 citations as per Google Scholar report
