Systems biotechnology of animal cells: the road to prediction

被引：33

作者：

Carinhas, Nuno ^{[1
,2
]}

Oliveira, Rui ^{[3
]}

Alves, Paula Marques ^{[1
,2
]}

Carrondo, Manuel J. T. ^{[1
,2
]}

Teixeira, Ana P. ^{[1
,2
]}

机构：

[1] Univ Nova Lisboa, Inst Tecnol Quim & Biol, P-2780901 Oeiras, Portugal

[2] Inst Biol Expt & Tecnol, P-2780901 Oeiras, Portugal

[3] Univ Nova Lisboa, Fac Ciencias & Tecnol, Dept Quim, Syst Biol & Engn Grp SBE,REQUIMTE, P-2829516 Caparica, Portugal

来源：

TRENDS IN BIOTECHNOLOGY | 2012年 / 30卷 / 07期

关键词：

systems biotechnology; mathematical modeling; computational prediction; animal cell culture; recombinant protein; bioprocess improvement; METABOLIC-FLUX ANALYSIS; MONOCLONAL-ANTIBODY PRODUCTION; C-13 LABELING EXPERIMENTS; LOW CULTURE TEMPERATURE; HAMSTER OVARY CELLS; CHO-CELLS; QUANTITATIVE-ANALYSIS; MASS-SPECTROMETRY; ENZYME-ACTIVITIES; MAMMALIAN-CELLS;

D O I：

10.1016/j.tibtech.2012.03.004

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

A central concern of biopharmaceutical R&D is the production of sufficient quantities of recombinant products from manufacturing processes based on animal cell culture. The way in which bioprocess researchers have addressed this question experienced a tremendous shift over the years, progressing from almost empirical to more rational approaches. A step further is the application of systems biotechnology: recent technological advances for large-scale cell state characterization and creative methods for host cell modeling are becoming crucial for next-generation bioprocess optimization. Here we provide an overview of the main trends towards this goal, with a focus on metabolic models as central scaffolds for data integration and prediction of bioprocess outcomes.

引用

页码：377 / 385

页数：9

共 90 条

[1] Towards dynamic metabolic flux analysis in CHO cell cultures [J].