Advances in Bioanalytics and Biomarkers
Preliminary testing revealed spectra that could be distinguished between the unstimulated, stimulated cells, and stimulated cells with inhibitor, in both the low and high mass region (m/z 200-1000 and 2-20 kDa). Using principal component analysis (PCA), hierarchical clustering, and machine learning strategies, a subset of peaks was identified to be unique to each condition. This data supports that it is possible to elucidate important metabolic features of cells in modelled pathophysiology. This approach has the potential to be further optimized as an automated HTS drug discovery assay in the industrial setting.