Elevated endoplasmic reticulum pH is associated with high growth and bisAb aggregation in CHO cells.

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biotechnology and Bioengineering Pub Date : 2024-10-22 DOI:10.1002/bit.28866
Kevin S McFarland, Kaitlin Hegadorn, Michael J Betenbaugh, Michael W Handlogten
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Abstract

Chinese hamster ovary (CHO) bioprocesses, the dominant platform for therapeutic protein production, are increasingly used to produce complex multispecific proteins. Product quantity and quality are affected by intracellular conditions, but these are challenging to measure and often overlooked during process optimization studies. pH is known to impact quality attributes like protein aggregation across upstream and downstream processes, yet the effects of intracellular pH on cell culture performance are largely unknown. Recently, advances in protein biosensors have enabled investigations of intracellular environments with high spatiotemporal resolution. In this study, we integrated a fluorescent pH-sensitive biosensor into a bispecifc (bisAb)-producing cell line to investigate changes in endoplasmic reticulum pH (pHER). We then investigated how changes in lactate metabolism impacted pHER, cellular redox, and product quality in fed-batch and perfusion bioreactors. Our data show pHER rapidly increased during exponential growth to a maximum of pH 7.7, followed by a sharp drop in the stationary phase in all perfusion and fed-batch conditions. pHER decline in the stationary phase was driven by an apparent loss of cellular pH regulation that occurred despite differences in redox profiles. Finally, we found protein aggregate levels correlated most closely with pHER which provides new insights into product aggregate formation in CHO processes. An improved understanding of the intracellular changes impacting bioprocesses can ultimately help guide media optimizations, improve bioprocess control strategies, or provide new targets for cell engineering.

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内质网 pH 值升高与 CHO 细胞的高生长和双抗体聚集有关。
中国仓鼠卵巢(CHO)生物工艺是治疗蛋白质生产的主要平台,越来越多地用于生产复杂的多特异性蛋白质。众所周知,pH 值会影响蛋白质在上游和下游过程中的聚集等质量属性,但细胞内 pH 值对细胞培养性能的影响在很大程度上还不为人所知。最近,蛋白质生物传感器的进步使得人们能够以高时空分辨率研究细胞内环境。在这项研究中,我们将荧光 pH 敏感生物传感器集成到了双胰蛋白酶(bisAb)产生细胞系中,以研究内质网 pH(pHER)的变化。然后,我们研究了乳酸代谢的变化如何影响 pHER、细胞氧化还原以及喂料批次和灌流生物反应器中的产品质量。我们的数据显示,pHER 在指数生长过程中迅速升高到 pH 7.7 的最大值,随后在所有灌流和喂料批次条件下,pHER 在静止期急剧下降。最后,我们发现蛋白质聚合体水平与 pHER 的相关性最为密切,这为了解 CHO 过程中产物聚合体的形成提供了新的视角。提高对影响生物过程的细胞内变化的认识,最终有助于指导培养基优化、改进生物过程控制策略,或为细胞工程提供新的目标。
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来源期刊
Biotechnology and Bioengineering
Biotechnology and Bioengineering 工程技术-生物工程与应用微生物
CiteScore
7.90
自引率
5.30%
发文量
280
审稿时长
2.1 months
期刊介绍: Biotechnology & Bioengineering publishes Perspectives, Articles, Reviews, Mini-Reviews, and Communications to the Editor that embrace all aspects of biotechnology. These include: -Enzyme systems and their applications, including enzyme reactors, purification, and applied aspects of protein engineering -Animal-cell biotechnology, including media development -Applied aspects of cellular physiology, metabolism, and energetics -Biocatalysis and applied enzymology, including enzyme reactors, protein engineering, and nanobiotechnology -Biothermodynamics -Biofuels, including biomass and renewable resource engineering -Biomaterials, including delivery systems and materials for tissue engineering -Bioprocess engineering, including kinetics and modeling of biological systems, transport phenomena in bioreactors, bioreactor design, monitoring, and control -Biosensors and instrumentation -Computational and systems biology, including bioinformatics and genomic/proteomic studies -Environmental biotechnology, including biofilms, algal systems, and bioremediation -Metabolic and cellular engineering -Plant-cell biotechnology -Spectroscopic and other analytical techniques for biotechnological applications -Synthetic biology -Tissue engineering, stem-cell bioengineering, regenerative medicine, gene therapy and delivery systems The editors will consider papers for publication based on novelty, their immediate or future impact on biotechnological processes, and their contribution to the advancement of biochemical engineering science. Submission of papers dealing with routine aspects of bioprocessing, description of established equipment, and routine applications of established methodologies (e.g., control strategies, modeling, experimental methods) is discouraged. Theoretical papers will be judged based on the novelty of the approach and their potential impact, or on their novel capability to predict and elucidate experimental observations.
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