Supplementary Material for "Glycolysis-stratified coordination of fatty acid and glutamine metabolism in pancreatic ductal adenocarcinoma""

Supplementary Material for Glycolysis-stratified coordination of fatty acid and glutamine metabolism in pancreatic ductal adenocarcinoma Contents:- A Graphical Abstract This Zenodo repository contains all supplementary figures, tables, and source data referenced in the manuscript, including transcriptomic analyses (S1-S2), metabolite-inference analyses (S3-S5), a schematic of fatty-acid families and representative enzymes (S6), and proteomic validation (S7). S1 – Predictive Modeling of GLN ActivityS1 Fig. Elastic-Net out-of-fold predictions for GLN activity by glycolysis grouping. S1 Table. Cross-validated performance metrics (R² and RMSE) by grouping. S1 Data. Out-of-fold predicted vs. observed GLN activity by sample. S2 – FA Family DefinitionsS2 Table. Curated mapping of fatty-acid (FA) pathways/enzymes to functional families used in transcriptomic analyses. S3 – Inferred Metabolite ActivitiesS3 Fig. Principal component analysis (PCA) of inferred metabolite activities across PDAC samples. S3 Table. Raw and z-scored inferred metabolite activity scores for 13 metabolites. S4 – Metabolite State ComparisonsS4 Fig. Heatmap of mean z-scored metabolite activities across metabolite-defined metabolic phenotypes. S4 Table. One-way ANOVA and Kruskal–Wallis statistics comparing metabolite activities across phenotypes. S5 – Mapping and Final State LabelsS5 Table. Metabolite–gene mapping with +1/−1 directionality assignments used to compute weighted metabolite activity scores. S5 Data. Final metabolite-defined metabolic state labels for all PDAC samples. S6 – FA Chain-length Schematic and CPTAC Proteome CharacteristicsS6 Fig. Schematic mapping representative enzymes and pathways across fatty-acid chain-length classes (MCFA, LCFA, VLCFA) and two example lipid families (glycerophospholipids, sphingolipids).S6 Table. Descriptive statistics for the CPTAC PDAC tumor proteome (MD_abundance_tumor matrix), including number of tumors (n = 140), total proteins (11,662), per-protein missingness distribution, and the number of proteins retained after filtering to ≥70% observed values (7,993). S7 – Proteomic Validation of FA–GLN Coordination (CPTAC PDAC Cohort)S7 Fig. Proteomic validation of sphingolipid–glutamine coordination by glycolysis state in PDAC. Family-level associations between GLN and FA protein modules (glycerophospholipid, sphingolipid) are shown for low vs. high glycolysis tertiles.S7 Table. Proteomic validation statistics for FA–GLN family-level correlations across glycolysis strata in the CPTAC PDAC cohort (n = 140). For each FA family and glycolysis tertile, the table reports sample size, Spearman correlation between GLN and FA protein-module scores, nominal p-values, and Benjamini–Hochberg FDR-adjusted q-values. Contact: For questions regarding these supplementary files please contact the author at ([e-mail]).