ambr® 15 Microbioreactors for CHO Cell Cultivation

Changes to culture pH and dissolved oxygen can enhance CAR T-cell generation and differentiation

Chimeric antigen receptor (CAR) T-cell therapy is growing clinically and commercially as a powerful new approach to treat cancer. Understanding how key culture conditions such as pH and dissolved oxygen (DO) affect CAR T-cell generation and function is important in developing better CAR-T manufacturing processes and CAR T-cell therapies for patients. We used the automated mini-bioreactor (AMBR) 15 platform to assess how differences in pH and DO affect CAR T-cell transduction, proliferation, and differentiation. We found that higher pH can significantly improve CAR T-cell transduction and proliferation, and also biases CAR T-cells away from an effector memory and towards a more central memory phenotype. Both high and low DO negatively affect CAR T-cell generation, with both hypoxic and hyperoxic conditions reducing T-cell transduction into CAR T-cells. Collectively, this data underscores how pH and DO can significantly affect CAR T-cell expansion and differentiation, and provides insight into the optimal culture conditions to enhance CAR T-cell yield and phenotype in clinical and commercial processes. This article is protected by copyright. All rights reserved.

High-throughput microbioreactor provides a capable tool for early stage bioprocess development

Tremendous advancements in cell and protein engineering methodologies and bioinformatics have led to a vast increase in bacterial production clones and recombinant protein variants to be screened and evaluated. Consequently, an urgent need exists for efficient high-throughput (HTP) screening approaches to improve the efficiency in early process development as a basis to speed-up all subsequent steps in the course of process design and engineering. In this study, we selected the BioLector micro-bioreactor (µ-bioreactor) system as an HTP cultivation platform to screen E. coli expression clones producing representative protein candidates for biopharmaceutical applications. We evaluated the extent to which generated clones and condition screening results were transferable and comparable to results from fully controlled bioreactor systems operated in fed-batch mode at moderate or high cell densities. Direct comparison of 22 different production clones showed great transferability. We observed the same growth and expression characteristics, and identical clone rankings except one host-Fab-leader combination. This outcome demonstrates the explanatory power of HTP µ-bioreactor data and the suitability of this platform as a screening tool in upstream development of microbial systems. Fast, reliable, and transferable screening data significantly reduce experiments in fully controlled bioreactor systems and accelerate process development at lower cost.