Figure 7.
Lipidomic correlates of changes in RBC oxygen-handling function. (A) Lipidomics of RBC lysates. Heatmap shows ∼1200 lipids identified as responding to hypoxic storage or rejuvenation (2-way ANOVA: time and treatment with P < .05). (B) Scatter plot shows effect of hypoxic storage or rejuvenation for the differentially abundant lipids. Same color coding as in Figure 6B. (C) Pearson correlation coefficient between specific metabolite and time constant (top) or SSC (bottom). (D) Top 3 negative correlations to time constant (top) or SSC (bottom). Bars show time constant or SSC data from Figure 2; circles show lipid levels. Number in italics refers to correlation coefficient. (E) Analysis for the top 3 positive correlations. (F) Multivariate regression analysis using the top 3 negative and top 3 positive correlates. For time constant τ: R2 = 0.6415, F = 10.44, P < .0001. For SSC: R2 = 0.8133, F = 29.77, P < .0001.

Lipidomic correlates of changes in RBC oxygen-handling function. (A) Lipidomics of RBC lysates. Heatmap shows ∼1200 lipids identified as responding to hypoxic storage or rejuvenation (2-way ANOVA: time and treatment with P < .05). (B) Scatter plot shows effect of hypoxic storage or rejuvenation for the differentially abundant lipids. Same color coding as in Figure 6B. (C) Pearson correlation coefficient between specific metabolite and time constant (top) or SSC (bottom). (D) Top 3 negative correlations to time constant (top) or SSC (bottom). Bars show time constant or SSC data from Figure 2; circles show lipid levels. Number in italics refers to correlation coefficient. (E) Analysis for the top 3 positive correlations. (F) Multivariate regression analysis using the top 3 negative and top 3 positive correlates. For time constant τ: R2 = 0.6415, F = 10.44, P < .0001. For SSC: R2 = 0.8133, F = 29.77, P < .0001.

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