Karst Daniel J, Steinhoff Robert F, Kopp Marie R G, Serra Elisa, Soos Miroslav, Zenobi Renato, Morbidelli Massimo
Dept. of Chemistry and Applied Biosciences, Inst. for Chemical and Bioengineering, ETH Zurich, Zurich, Switzerland.
Dept. of Chemistry and Applied Biosciences, Laboratory of Organic Chemistry, ETH Zurich, Zurich, Switzerland.
Biotechnol Prog. 2017 Jul;33(4):879-890. doi: 10.1002/btpr.2421. Epub 2017 Mar 3.
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 × 10 cells/mL over 26 days of culture. Conversely, the reactor was operated continuously so as to reach three distinct steady states one after the other at 20, 60, and 40 × 10 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. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 33:879-890, 2017.
灌注细胞培养工艺能够在高活细胞密度下实现哺乳动物细胞的稳态培养,这有利于治疗性蛋白质生产中产品的总体产量和产品质量的均一性。在本研究中,在搅拌罐灌注生物反应器中研究了一种生产单克隆抗体(mAb)的工业用中国仓鼠卵巢(CHO)细胞系在不同稳态下的代谢稳态程度以及代谢物谱的变化。对每日细胞提取物进行基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF-MS)分析,发现了一百多个峰,其中76种代谢物通过串联质谱(MS/MS)和高分辨率傅里叶变换离子回旋共振(FT-ICR)质谱得以鉴定。核苷酸比率(尿苷(U)比率、三磷酸核苷酸(NTP)比率和能荷(EC))以及对所有特征的多变量分析表明,在40×10个细胞/mL的条件下进行26天的稳定培养,代谢物谱是一致的。相反,反应器连续运行,以便在20、60和40×10个细胞/mL的条件下依次达到三个不同的稳态。在每种情况下,当在这些设定点之间变化时,在细胞密度恒定的大约三天的初始瞬态阶段之后,都实现了稳定的代谢物谱。通过主成分分析观察到根据细胞密度有明显的聚类,表明代谢物谱依赖于稳态。特别是,不同水平的核苷酸、核苷酸糖和脂质前体解释了不同细胞密度设定点之间的大部分差异来源。©2016美国化学工程师学会生物技术进展,33:879 - 890,201