Extended Data Fig. 4: Personalised phosphoproteomics extracts glucose uptake-associated phosphosites.

a, Ranks of phosphosites that passed filtering for glucose uptake correlations ordered by glucose uptake correlation significance, ANOVA significance and magnitude fold change. Kendall’s rank correlation (τ) was calculated on the -log₁₀p and absolute log₂FC values. b, Gene Ontology enrichment of the glucose uptake-associated phosphosites, (Fisher’s exact test), filtered for pathways with BH-p_adj < 0.05. Pearson’s correlation and BH p_adj of phosphorylated c, GYS1 S649 and d, VAMP2 S61 with glucose uptake, with prior exercise (blue outline) and insulin (orange centre). e, Overrepresentation of kinase substrates in positive glucose uptake-associated sites (Fisher’s exact test, BH-p_adj). f, The distribution of kinase substrates by correlation coefficient with glucose uptake (asterisk indicates empirical p < 0.05 from a Kolmogorov-Smirnov test ordered by correlation p-value). g, Quantification of Akt substrates in the classes defined in Fig. 3. Profiles of Akt regulatory sites h, T308 i, S473 and j, substrate GSK3β S9 k, Pearson’s correlation and BH p_adj of phosphorylated LPIN1 S889 with glucose uptake. l, LPIN1 sequence aligned to mTORC1 motif. m, Pearson’s correlation and BH p_adj of AGPAT1 protein levels with glucose uptake AUC, in ground state exercised (blue) or not exercised (grey) legs. Correlations and Kolmogorov-Smirnov tests were two-sided. Fisher’s exact tests were one-sided.