TY - JOUR
T1 - Systems biotechnology of animal cells
T2 - The road to prediction
AU - Carinhas, Nuno
AU - Oliveira, Rui
AU - Alves, Paula Marques
AU - Carrondo, Manuel J.T.
AU - Teixeira, Ana P.
N1 - Funding Information:
We would like to acknowledge Dr Vicente Bernal (Universidad de Murcia) for fruitful discussions. This work was supported by project grants FP7/HEALTH.2011.1.1-1/279039, PTDC/EBB-EBI/103359/2008 and PTDC/EBB-BIO/119501/2010. N.C. acknowledges Fundação para a Ciência e a Tecnologia for his post-doctoral fellowship grant (SFRH/BPD/80514/2011).
Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/7
Y1 - 2012/7
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 - Animal cell culture
KW - Bioprocess improvement
KW - Computational prediction
KW - Mathematical modeling
KW - Recombinant protein
KW - Systems biotechnology
UR - http://www.scopus.com/inward/record.url?scp=84862307869&partnerID=8YFLogxK
U2 - 10.1016/j.tibtech.2012.03.004
DO - 10.1016/j.tibtech.2012.03.004
M3 - Review article
C2 - 22541337
SN - 0167-7799
VL - 30
SP - 377
EP - 385
JO - Trends In Biotechnology
JF - Trends In Biotechnology
IS - 7
ER -