预测原料对商业化生物治疗生产中细胞培养参数的影响。

IF 2.2 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Biochemistry and Biophysics Reports Pub Date : 2025-08-07 eCollection Date: 2025-09-01 DOI:10.1016/j.bbrep.2025.102192
Phyllis C Pugh, Bijay R Khanal, Jenna L Lemons, Mario A Murillo, Jacika N Patel, Preeya K Boppana, Veera Padmanabhan
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引用次数: 0

摘要

在通过哺乳动物细胞培养生产生物制品的过程中,经常使用复杂的、化学上未定义的培养基成分作为营养物。这些复杂原料成分的变化会显著影响产品产量。本文通过开发基于数据的模型来估计阿斯利康工业抗体生产操作的最终生产力,研究了原材料质量对细胞培养过程的影响。对选定的原料组分进行了傅里叶变换红外光谱测量。这些测量被处理,衍生,并用于创建偏最小二乘(PLS)回归化学计量模型。所得到的模型随后被用来预测这种原始变异对生物治疗分子产量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting raw material impact on cell culture parameters in commercial biotherapeutic manufacturing.

Complex, chemically-undefined media components are often used as nutrients in the production of biological products via mammalian cell culture. Variability in the compositions of these complex raw materials can significantly impact product yields. This paper investigates the influence of raw material quality on the cell culture process by developing data-based models to estimate final productivity in an industrial antibody production operation at AstraZeneca. Fourier Transform Infrared (FTIR) spectroscopy measurements of selected raw material components were obtained. These measurements were processed, derivatized, and used to create Partial Least Squares (PLS) regression chemometric models. The resulting models were then employed to predict the influence of such raw variability on the yields of biotherapeutic molecules.

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来源期刊
Biochemistry and Biophysics Reports
Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
191
审稿时长
59 days
期刊介绍: Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.
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