Michael J. Betenbaugh

This study uses isotope tracing to compare metabolic differences between two CHO cell lines, revealing how cell line selection impacts metabolism and biomanufacturing.

This study compares kinetic and stoichiometric models of CHO metabolism, finding that kinetic models better predict bioprocess outcomes like cell density and metabolite levels.

This paper presents a continuous biomanufacturing platform for virus-like particle vaccines using multiple bioreactor configurations, demonstrating stable production and scalability.

This paper develops a multi-objective Bayesian Optimization framework for optimizing bioprocess conditions in CHO cell culture, achieving better performance than traditional methods with fewer experiments.

This study evaluates how cell-cycle arrest and stress pathways affect rAAV production, finding that tailored modulation improves yields.

This study identifies metabolic shifts in drug-tolerant persister cells that support antioxidant metabolism, offering new targets to overcome therapy resistance.

MCBO provides a standardized ontology for mammalian cell bioprocessing data to enable harmonization and querying of complex biomanufacturing datasets.

This paper introduces ObjFind-M, an inverse optimization framework that infers reaction-level metabolic objectives from fluxomic and metabolomic data in mammalian cells, finding mitochondrial ATP synthase as a central driver.

The paper presents iCHO3K, a comprehensive metabolic model of Chinese Hamster cells, and uses it to analyze metabolic changes in lactate-free cells, identifying structural insights into metabolic rewiring.

This study uses single-cell RNA sequencing to show that clonal CHO-K1 cells exhibit subpopulation heterogeneity in production stability over time.