What can mathematical modelling say about CHO metabolism and protein glycosylation?

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...

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Detalles Bibliográficos
Autores principales: Galleguillos, Sarah N., Ruckerbauer, David, Gerstl, Matthias P., Borth, Nicole, Hanscho, Michael, Zanghellini, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2017
Materias:
Short Survey
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310201/
https://www.ncbi.nlm.nih.gov/pubmed/28228925
http://dx.doi.org/10.1016/j.csbj.2017.01.005
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author Galleguillos, Sarah N.
Ruckerbauer, David
Gerstl, Matthias P.
Borth, Nicole
Hanscho, Michael
Zanghellini, Jürgen
author_facet Galleguillos, Sarah N.
Ruckerbauer, David
Gerstl, Matthias P.
Borth, Nicole
Hanscho, Michael
Zanghellini, Jürgen
author_sort Galleguillos, Sarah N.
collection PubMed
description 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.
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spelling pubmed-53102012017-02-22 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 Comput Struct Biotechnol J Short Survey 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. Research Network of Computational and Structural Biotechnology 2017-01-28 /pmc/articles/PMC5310201/ /pubmed/28228925 http://dx.doi.org/10.1016/j.csbj.2017.01.005 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Short Survey
Galleguillos, Sarah N.
Ruckerbauer, David
Gerstl, Matthias P.
Borth, Nicole
Hanscho, Michael
Zanghellini, Jürgen
What can mathematical modelling say about CHO metabolism and protein glycosylation?
title What can mathematical modelling say about CHO metabolism and protein glycosylation?
title_full What can mathematical modelling say about CHO metabolism and protein glycosylation?
title_fullStr What can mathematical modelling say about CHO metabolism and protein glycosylation?
title_full_unstemmed What can mathematical modelling say about CHO metabolism and protein glycosylation?
title_short What can mathematical modelling say about CHO metabolism and protein glycosylation?
title_sort what can mathematical modelling say about cho metabolism and protein glycosylation?
topic Short Survey
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310201/
https://www.ncbi.nlm.nih.gov/pubmed/28228925
http://dx.doi.org/10.1016/j.csbj.2017.01.005
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