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. 2021 Jul 16;46:102073. doi: 10.1016/j.redox.2021.102073

Fig. 2.

Fig. 2

Select heritable RBC molecule abundances anti-correlate with rates of hemolysis during storage.

(A) Heatmap of Spearman's rank correlation coefficients (ρ) between the abundances of individual RBC proteins or RBC metabolites (arrayed on the ordinate) (proteomics data from Ref. [4])and measures of RBC hemolysis during storage (arrayed on the abscissa) (hemolysis data from Ref. [3]), organized by correlations with hemolysis at day-14 of storage. The heritability of each protein or metabolite (as defined previously in Ref. [4]) is also indicated (black and white column on far left).

(B) Detailed view of the molecules most anti-correlated with hemolysis at day-14, as defined by ρ < −0.3 and sorted by heritability. Stars mark molecules highlighted in panels C–G.

(C) Scatter plot of RBC hemolysis at day-14 of storage (%) (hemolysis data from Ref. [3]) vs. the abundance of the protein CRLF3 (arbitrary units, a. u, based on mass spectrometry signal) (proteomics data from Ref. [4]).

(D) Scatter plot of RBC hemolysis at day-14 of storage (%) (hemolysis data from Ref. [3]) vs. the abundance of the protein PARK7 (proteomics data from Ref. [4]).

(E) Gene Ontology (GO) categories significantly (p < 0.05) enriched in proteins anti-correlated with hemolysis (n = 33), as defined by ρ < −0.3, compared to all RBC proteins with measured heritability (n = 385).

(F) Rank-ordered plot of RBC molecule correlations (ρ) with hemolysis at day-14, highlighting proteins observed from the GO category for “hydrogen peroxide metabolic process”.

(G) Scatter plot of RBC hemolysis at day-14 of storage (%) (hemolysis data from Ref. [3]) vs. the abundance of the protein GPx4 (proteomics data from Ref. [4]).