Intracellular CHO cell metabolite profiling reveals steady-state dependent metabolic fingerprints in perfusion culture

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F16%3A43902730" target="_blank" >RIV/60461373:22340/16:43902730 - isvavai.cz</a>

Result on the web

<a href="http://onlinelibrary.wiley.com/doi/10.1002/btpr.2421/full" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1002/btpr.2421/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/btpr.2421" target="_blank" >10.1002/btpr.2421</a>

Result language

angličtina

Original language name

Intracellular CHO cell metabolite profiling reveals steady-state dependent metabolic fingerprints in perfusion culture

Original language description

Perfusion cell culture processes allow the steady-state culture of mammalian cells at high viable cell density, which is beneficial for overall product yields and homogeneity of product quality in the manufacturing of therapeutic proteins. In this study, the extent of metabolic steady state and the change of the metabolite profile between different steady states of an industrial Chinese hamster ovary (CHO) cell line producing a monoclonal antibody (mAb) was investigated in stirred tank perfusion bioreactors. Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) of daily cell extracts revealed more than a hundred peaks, among which 76 metabolites were identified by tandem MS (MS/MS) and high resolution Fourier transform ion cyclotron resonance (FT-ICR) MS. Nucleotide ratios (Uridine (U)-ratio, Nucleotide triphosphate (NTP)-ratio and energy charge (EC)) and multivariate analysis of all features indicated a consistent metabolite profile for a stable culture performed at 40 × 106 cells/mL over 26 days of culture. On the other hand the reactor was operated continuously so as to reach three distinct steady states one after the other at 20, 60 and 40 × 106 cells/mL. In each case, a stable metabolite profile was achieved after an initial transient phase of approximately three days at constant cell density when varying between these set points. Clear clustering according to cell density was observed by principal component analysis, indicating steady state dependent metabolite profiles. In particular, varying levels of nucleotides, nucleotide sugar and lipid precursors explained most of the variance between the different cell density set points.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20401 - Chemical engineering (plants, products)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Biotechnology Progress

ISSN

1520-6033

e-ISSN

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Volume of the periodical

33

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

"879?890"

UT code for WoS article

000416710400004

EID of the result in the Scopus database

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