Author: Nathalie Pamir; Calvin Pan; Deanna L. Plubell; Patrick M. Hutchins; Chongren Tang; Jake Wimberger; Angela Irwin; Thomas Q. de Aguiar Vallim; Jay W. Heinecke; Aldons J. Lusis
Title: Genetic control of the HDL proteome Document date: 2018_8_31
ID: hx7n4xfo_10
Snippet: To understand interactions of HDL proteins with each other and with other metrics of HDL (ABCA1 specific sterol efflux, baseline -diffusion sterol efflux, HDL particle size, and HDL cholesterol), we correlated proteins that are present in more than 80% of the strains. We then applied hierarchical clustering to a matrix that contains all measured phenotypes. The clustering of the proteome and functional metrics revealed expected patterns (Figure 3.....
Document: To understand interactions of HDL proteins with each other and with other metrics of HDL (ABCA1 specific sterol efflux, baseline -diffusion sterol efflux, HDL particle size, and HDL cholesterol), we correlated proteins that are present in more than 80% of the strains. We then applied hierarchical clustering to a matrix that contains all measured phenotypes. The clustering of the proteome and functional metrics revealed expected patterns (Figure 3 for yeast normalized and Supplemental Figure 3 for total normalized data). The complex correlation matrices represented a high number of strongly correlated variables suggesting an organized interplay among HDL proteins and between the physiological and functional metrics of HDL ( Figure. 4 and Supplemental Figure 4 for yeast and total normalized data respectively). Of the 8100 total correlations, we have focused on 2216 correlations that are |r|>0.5 with a Bonferroni-Holm adjusted P<0.05, n=2216. The correlation and P values are presented in Supplemental Table 2 .
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