创新的固定床生物反应器平台:通过营养消耗实时预测生物量,实现线性可扩展的粘附细胞生物制造。

IF 3.2 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Vasiliy N. Goral, Yulong Hong, Jeffery J. Scibek, Yujian Sun, Lori E. Romeo, Abhijit Rao, Daniel Manning, Yue Zhou, Joel A. Schultes, Vinalia Tjong, Dragan Pikula, Kathleen A. Krebs, Ann M. Ferrie, Stefan Kramel, Jennifer L. Weber, Todd M. Upton, Ye Fang, Zara Melkoumian
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引用次数: 0

摘要

可扩展的一次性使用粘附细胞生物制造平台对于充分释放细胞和基因疗法的潜力至关重要。本研究的主要目的是设计和开发一种新型固定床生物反应器平台,专门用于扩大粘附细胞培养的规模。该生物反应器由垂直堆叠的聚对苯二甲酸乙二醇酯编织网盘组成的填料床,夹在两块导流板之间。利用计算流体动力学建模,我们优化了生物反应器的设计,以实现均匀流动和最小剪应力。停留时间分布测量结果表明,流动均匀度极佳,并具有塞流特性。定期介质取样和离线分析表明,细胞生长过程中,生物反应器中关键代谢物(葡萄糖、谷氨酰胺、乳酸盐和氨)的梯度极小。此外,该生物反应器平台在自动细胞收获方面表现出很高的性能,效率≈96%,存活率≈98%。在细胞培养和腺相关病毒载体生产的操作参数和性能方面,它也表现出线性可扩展性。我们开发了基于摄氧量的数学模型,以准确预测细胞生长曲线并实时估算生物量。这项研究证明了所开发的固定床生物反应器平台在实现可扩展的基于粘附细胞的生物制造、高生产率和过程控制方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Innovative fixed bed bioreactor platform: Enabling linearly scalable adherent cell biomanufacturing with real-time biomass prediction from nutrient consumption

Innovative fixed bed bioreactor platform: Enabling linearly scalable adherent cell biomanufacturing with real-time biomass prediction from nutrient consumption

Scalable single-use adherent cell-based biomanufacturing platforms are essential for unlocking the full potential of cell and gene therapies. The primary objective of this study is to design and develop a novel fixed bed bioreactor platform tailored specifically for scaling up adherent cell culture. The bioreactor comprises a packed bed of vertically stacked woven polyethylene terephthalate mesh discs, sandwiched between two-fluid guide plates. Leveraging computational fluid dynamics modeling, we optimized bioreactor design to achieve uniform flow with minimal shear stress. Residence time distribution measurements demonstrated excellent flow uniformity with plug flow characteristics. Periodic media sampling coupled with offline analysis revealed minimal gradients of crucial metabolites (glucose, glutamine, lactate, and ammonia) across the bioreactor during cell growth. Furthermore, the bioreactor platform demonstrated high performance in automated cell harvesting, with ≈96% efficiency and ≈98% viability. It also exhibited linear scalability in both operational parameters and performance for cell culture and adeno-associated virus vector production. We developed mathematical models based on oxygen uptake rates to accurately predict cell growth curves and estimate biomass in real-time. This study demonstrates the effectiveness of the developed fixed-bed bioreactor platform in enabling scalable adherent cell-based biomanufacturing with high productivity and process control.

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来源期刊
Biotechnology Journal
Biotechnology Journal Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
8.90
自引率
2.10%
发文量
123
审稿时长
1.5 months
期刊介绍: Biotechnology Journal (2019 Journal Citation Reports: 3.543) is fully comprehensive in its scope and publishes strictly peer-reviewed papers covering novel aspects and methods in all areas of biotechnology. Some issues are devoted to a special topic, providing the latest information on the most crucial areas of research and technological advances. In addition to these special issues, the journal welcomes unsolicited submissions for primary research articles, such as Research Articles, Rapid Communications and Biotech Methods. BTJ also welcomes proposals of Review Articles - please send in a brief outline of the article and the senior author''s CV to the editorial office. BTJ promotes a special emphasis on: Systems Biotechnology Synthetic Biology and Metabolic Engineering Nanobiotechnology and Biomaterials Tissue engineering, Regenerative Medicine and Stem cells Gene Editing, Gene therapy and Immunotherapy Omics technologies Industrial Biotechnology, Biopharmaceuticals and Biocatalysis Bioprocess engineering and Downstream processing Plant Biotechnology Biosafety, Biotech Ethics, Science Communication Methods and Advances.
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