Sarah W. Harcum

The paper develops a workflow to reduce and repair dynamic metabolic models of CHO cells using identifiability analysis and metabolic flux analysis, improving prediction accuracy for specific growth rate and productivity.

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 study investigates the effects of elevated ammonia on genome instability in CHO cells, identifying de novo mutations and microsatellite instability as biomarkers for genome stability.