Previous applications of proteomics to bioprocessing of CHO cells, for example from Betenbaugh and coworkers, have revolved around providing a deeper understanding of CHO cells. Fewer studies revolve around translational applications of the discovery data: Gao et al., used existing knowledge of CHO cell production to create an MRM assay for lipases known to cause a decrease in product quality , and Albrecht et al., translated discovery work into an MRM assay, however, only targeted proteins involved in necrosis and apoptosis were examined. In contrast, our study targets an expanded set of cellular processes. Furthermore, while much research has been performed into creating an in depth understanding of CHO cells under biomanufacturing conditions, due to the high genetic plasticity of CHO cell lines it is imperative to understand specific production cell lines. The results here demonstrate the utility of applying discovery proteomics and translation to the biotechnology sector, with the identification of protein targets involved in the metabolic procession of CHO cells within a fed-batch bioreactor. The relative quantities of these protein targets, which range from proliferation to oxidative stress and apoptosis, is indicative of the cellular status of the bioreactor, and give a more in depth understanding than gross biological phenotypes such as viable cell count. Further analysis of this dataset and others may yield more targets, giving exquisite understanding of the status of the bioreactor during production runs.