Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Verónica S Martínez"'
Autor:
Verónica S Martínez, Pedro A Saa, Jason Jooste, Kanupriya Tiwari, Lake-Ee Quek, Lars K Nielsen
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1010203 (2022)
The topology of metabolic networks is recognisably modular with modules weakly connected apart from sharing a pool of currency metabolites. Here, we defined modules as sets of reversible reactions isolated from the rest of metabolism by irreversible
Externí odkaz:
https://doaj.org/article/8ee6253ece2b44098f1e3712b65e40d6
Autor:
Michael A. MacDonald, Matthias Nöbel, Verónica S. Martínez, Kym Baker, Evan Shave, Peter P. Gray, Stephen Mahler, Trent Munro, Lars K. Nielsen, Esteban Marcellin
Publikováno v:
mAbs, Vol 14, Iss 1 (2022)
The reliable and cost-efficient manufacturing of monoclonal antibodies (mAbs) is essential to fulfil their ever-growing demand. Cell death in bioreactors reduces productivity and product quality, and is largely attributed to apoptosis. In perfusion b
Externí odkaz:
https://doaj.org/article/652962a831424760825d57ea8ed6a53f
Autor:
Michael A. MacDonald, Craig Barry, Teddy Groves, Verónica S. Martínez, Peter P. Gray, Kym Baker, Evan Shave, Stephen Mahler, Trent Munro, Esteban Marcellin, Lars K. Nielsen
Publikováno v:
MacDonald, M A, Barry, C, Groves, T, Martínez, V S, Gray, P P, Baker, K, Shave, E, Mahler, S, Munro, T, Marcellin, E & Nielsen, L K 2022, ' Modeling apoptosis resistance in CHO cells with CRISPR-mediated knockouts of Bak1, Bax, and Bok ', Biotechnology and Bioengineering, vol. 119, no. 6, pp. 1380-1391 . https://doi.org/10.1002/bit.28062
Chinese hamster ovary (CHO) cells are the primary platform for the production of biopharmaceuticals. To increase yields, many CHO cell lines have been genetically engineered to resist cell death. However, the kinetics that governs cell fate in biorea
Publikováno v:
Metabolic Engineering Communications, Vol 2, Iss , Pp 46-57 (2015)
Metabolic flux analysis (MFA) is widely used to estimate intracellular fluxes. Conventional MFA, however, is limited to continuous cultures and the mid-exponential growth phase of batch cultures. Dynamic MFA (DMFA) has emerged to characterize time-re
Externí odkaz:
https://doaj.org/article/189928eebc5745cfa986b689e1075f9f
Autor:
Verónica S. Martínez, Jens O. Krömer
Publikováno v:
Metabolites, Vol 6, Iss 4, p 45 (2016)
Metabolite profiling technologies have improved to generate close to quantitative metabolomics data, which can be employed to quantitatively describe the metabolic phenotype of an organism. Here, we review the current technologies available for quant
Externí odkaz:
https://doaj.org/article/dc9b6616b03544de8629816449af19b1