Abstract

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.
Original languageUnknown
Pages (from-to)377-385
JournalTrends In Biotechnology
Volume30
Issue number7
DOIs
Publication statusPublished - 1 Jan 2012

Cite this

@article{6a0d84dbdb9b433ca6457671a8ad87e9,
title = "Systems biotechnology of animal cells: the road to prediction",
abstract = "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.",
keywords = "mathematical modeling, recombinant protein, systems biotechnology, bioprocess improvement, computational prediction, animal cell culture",
author = "Oliveira, {Rui Manuel Freitas} and Carrondo, {Manuel Jos{\'e} Teixeira} and Manuel Carrondo and Nuno Carinhas and Teixeira, {Ana Margarida} and Alves, {Paula Maria}",
year = "2012",
month = "1",
day = "1",
doi = "10.1016/j.tibtech.2012.03.004",
language = "Unknown",
volume = "30",
pages = "377--385",
journal = "Trends In Biotechnology",
issn = "0167-7799",
publisher = "Elsevier Science B.V., Amsterdam.",
number = "7",

}

TY - JOUR

T1 - Systems biotechnology of animal cells: the road to prediction

AU - Oliveira, Rui Manuel Freitas

AU - Carrondo, Manuel José Teixeira

AU - Carrondo, Manuel

AU - Carinhas, Nuno

AU - Teixeira, Ana Margarida

AU - Alves, Paula Maria

PY - 2012/1/1

Y1 - 2012/1/1

N2 - 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.

AB - 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.

KW - mathematical modeling

KW - recombinant protein

KW - systems biotechnology

KW - bioprocess improvement

KW - computational prediction

KW - animal cell culture

U2 - 10.1016/j.tibtech.2012.03.004

DO - 10.1016/j.tibtech.2012.03.004

M3 - Article

VL - 30

SP - 377

EP - 385

JO - Trends In Biotechnology

JF - Trends In Biotechnology

SN - 0167-7799

IS - 7

ER -