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关于CHO代谢和蛋白质糖基化,数学建模能说明什么?

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

作者信息

Galleguillos Sarah N, Ruckerbauer David, Gerstl Matthias P, Borth Nicole, Hanscho Michael, Zanghellini Jürgen

机构信息

Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.

出版信息

Comput Struct Biotechnol J. 2017 Jan 28;15:212-221. doi: 10.1016/j.csbj.2017.01.005. eCollection 2017.

DOI:10.1016/j.csbj.2017.01.005
PMID:28228925
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5310201/
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.

摘要

近年来,中国仓鼠卵巢细胞一直是工艺优化的焦点,因为它是生产重组蛋白的主要且长期使用的细胞工厂。通过高通量技术的发展,已证明对中国仓鼠卵巢细胞代谢及蛋白质糖基化相关机制有深入、定量的了解是可行的。在此,我们回顾了中国仓鼠卵巢细胞代谢和蛋白质糖基化建模领域最显著的成就。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/278b/5310201/dfd39409cd8b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/278b/5310201/67d3d8c59cd2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/278b/5310201/dfd39409cd8b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/278b/5310201/67d3d8c59cd2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/278b/5310201/dfd39409cd8b/gr2.jpg

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What can mathematical modelling say about CHO metabolism and protein glycosylation?关于CHO代谢和蛋白质糖基化,数学建模能说明什么?
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Harnessing the potential of machine learning for advancing "Quality by Design" in biomanufacturing.利用机器学习的潜力推进生物制造中的“质量源于设计”。
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