The number of sensors and data inputs from cell culture systems in continuously expanding. Measurements include oxygen, carbon dioxide, glucose, glutamine, lactate, and others. Equally important has been the recent availability of ‘omics’ data for CHO and models of metabolism. What is missing, however, is the integration of the models with experimental measurements for better understanding and ultimately control of CHO cell culture processes. In addition, the percentage of quantified metabolites in spent cell culture media is limited. In order to expand our knowledge about the metabolites exerting the greatest impact on process performance, this proposal will adapt current metabolic models to characterize AMBIC CHO cells under different growth and media conditions. We aim to combine metabolomics profiling, metabolite spectral library identification and flux analysis. Ultimately, this approach will allow users to finely control CHO media in order to attain targets of high viability, optimized nutrient uptake and increased product yield.
How the Project May be Transformative and/or Benefit Society
Cell culture bioprocessing has been principally empirical and taken a “black box” approach. We now have the capacity to utilize metabolomics information to develop more efficient, predictive, and productive biomanufacturing processes.
Site: Johns Hopkins University and University of Massachusetts, Lowell
Project Leaders: Mike Betenbaugh and Seongkyu Yoon