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CHO-Omics Review: The Impact of Current and Emerging Technologies on Chinese Hamster Ovary Based Bioproduction.
Stolfa, Gino; Smonskey, Matthew T; Boniface, Ryan; Hachmann, Anna-Barbara; Gulde, Paul; Joshi, Atul D; Pierce, Anson P; Jacobia, Scott J; Campbell, Andrew.
Afiliação
  • Stolfa G; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Smonskey MT; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Boniface R; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Hachmann AB; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Gulde P; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Joshi AD; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Pierce AP; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Jacobia SJ; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
  • Campbell A; Bioproduction R&D, Thermo Fisher Scientific, Grand Island, USA.
Biotechnol J ; 13(3): e1700227, 2018 Mar.
Article em En | MEDLINE | ID: mdl-29072373
ABSTRACT
CHO cells are the most prevalent platform for modern bio-therapeutic production. Currently, there are several CHO cell lines used in bioproduction with distinct characteristics and unique genotypes and phenotypes. These differences limit advances in productivity and quality that can be achieved by the most common approaches to bioprocess optimization and cell line engineering. Incorporating omics-based approaches into current bioproduction processes will complement traditional methodologies to maximize gains from CHO engineering and bioprocess improvements. In order to highlight the utility of omics technologies in CHO bioproduction, the authors discuss current applications as well as limitations of genomics, transcriptomics, proteomics, metabolomics, lipidomics, fluxomics, glycomics, and multi-omics approaches and the potential they hold for the future of bioproduction. Multiple omics approaches are currently being used to improve CHO bioprocesses; however, the application of these technologies is still limited. As more CHO-omic datasets become available and integrated into systems models, the authors expect significant gains in product yield and quality. While individual omics technologies provide incremental improvements in bioproduction, the authors will likely see the most significant gains by applying multi-omics and systems biology approaches to individual CHO cell lines.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células CHO / Genômica / Proteômica / Metabolômica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Biotechnol J Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células CHO / Genômica / Proteômica / Metabolômica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Biotechnol J Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos