Fig. 3: Holistic clustering of potential dietary protein based on proteomic and intestinal biological efficacy data.
From: A combined microphysiological-computational omics approach in dietary protein evaluation
The optimal statistical cluster model ellipsoidal, equal volume, shape, and orientation (EEE) and number of clusters (5) were determined using the Bayesian Information Criterion. Considered data were peptide abundance, total amount of unique peptides, relative overlap with whey protein concentrate (WPC), the relative peptide abundance of the WPC overlap, inulin-FITC leakage, ZO-1 quantification, cell viability, alkaline phosphatase activity, IL-6, TGFβ, and nitric oxide. a two-component plot showing inulin-FITC leakage assay on the vertical axis and total peptide abundance on the horizontal axis. b two-component plot showing alkaline phosphatase activity assay on the vertical axis and relative peptide abundance of WPC overlapping peptides on the horizontal axis. Supplementary Fig. 11 shows all combinations of two-component plots. The division of potential dietary proteins in the different clusters is shown below the two two-component plots. Analysis was done based on proteomic data and biological efficacy data.
