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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20401 - Chemical engineering (plants, products)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Biotechnology Progress

ISSN

1520-6033

e-ISSN

—

Svazek periodika

33

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

"879?890"

Kód UT WoS článku

000416710400004

EID výsledku v databázi Scopus

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