Fig. 1: Protein–metabolite covariation in the DO cohort recapitulates established biochemical reactions.
From: Covariation MS uncovers a protein that controls cysteine catabolism
a, Breeding scheme and genetic diversity of the DO cohort. SNPs, single nucleotide polymorphisms. Created in BioRender. Xiao, H. (2025) https://BioRender.com/cluhh92. b, BAT and liver, two metabolically heterogenous tissues, were selected for deep proteomics and metabolomic profiling. The figure shows proteins and metabolites measured from BAT and liver of different genotypes of mice in this work alongside those from previous studies10,12,16,17,18,19,20,21,22,23,24,25,26,27,28,60. n = 163 mice. c, Abundance correlation between individual proteins and metabolites in each tissue were filtered using the Benjamini–Hochberg (BH) procedure, and then used to recapitulate established biochemical reactions, pathways and transporter–metabolite relationships. Details in Methods. Padj, adjusted P value. d, Overview of Rhea edge recapitulation analysis. The entire Rhea reaction network mapped in MPCA is illustrated. Each metabolite–enzyme interaction is shown as an edge between a metabolite and a protein node. Edges between succinate and NAD+ and proteins are magnified. n = 163 mice. See Supplementary Table 3 for the underlying dataset. e, MPCA edges recapitulate relationships between succinate, NAD+ and mitochondrial electron transport chain proteins. Two-sided Pearson correlation test with Benjamini–Hochberg P-value correction. Error band represents the 95% confidence interval.
