Fig 1.
Cluster plots of total charge percentage vs. net charge percentage.
Matrix preferring proteins (MPP) are shown in the left hand panel, and urine preferring proteins (UPP) are shown in the right hand panel. Many more proteins with both high total charge percentage and extreme net charge percentage were observed in the MPP set than in the UPP set.
Fig 2.
Spearman’s correlation analysis plot.
The net charge percentage was plotted against the net charge number for MPPs in this figure demonstrating a strong correlation (r = 0.923; p<0.0001).
Fig 3.
Cluster plots of the net charge percentage.
Both MPPs (black dots) and UPPs (pink dots) are represented here, with the MPP distribution demonstrating many more proteins with extreme values of net charge percentage (both positively and negatively charged).
Fig 4.
Cluster plots of net charge percentage and total charge percentage comparing the truncated MPP set to UPP.
Net charge percentage clusters for both the truncated set of MPP (black circles) and UPP (green triangles) were tightly clustered around 0, as expected, with no difference observed between the mean values. The total charge percentage cluster for MPP data (pink squares) demonstrated a broader distribution extending particularly to higher total charge values with a larger mean value than the UPP data (purple inverted triangles); 25±6% vs 20±4% respectively (p<0.0001).