Your browser doesn't support javascript.
loading
What can mathematical modelling say about CHO metabolism and protein glycosylation?
Galleguillos, Sarah N; Ruckerbauer, David; Gerstl, Matthias P; Borth, Nicole; Hanscho, Michael; Zanghellini, Jürgen.
Afiliação
  • Galleguillos SN; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.
  • Ruckerbauer D; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.
  • Gerstl MP; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.
  • Borth N; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.
  • Hanscho M; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.
  • Zanghellini J; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.
Comput Struct Biotechnol J ; 15: 212-221, 2017.
Article em En | MEDLINE | ID: mdl-28228925
ABSTRACT
Chinese hamster ovary cells have been in the spotlight for process optimization in recent years, due to being the major, long established cell factory for the production of recombinant proteins. A deep, quantitative understanding of CHO metabolism and mechanisms involved in protein glycosylation has proven to be attainable through the development of high throughput technologies. Here we review the most notable accomplishments in the field of modelling CHO metabolism and protein glycosylation.
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Áustria
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Áustria