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. 2022 Jul 19;3(7):100694. doi: 10.1016/j.xcrm.2022.100694

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© 2022 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

PMC Copyright notice

Identification of differentially expressed pathways and transcriptomic-metabolomic integrative analysis

(A) Enrichment of pathways in high Peri_V_DN group compared with low Peri_V_DN group using GSEA (left panel based on KEGG; right panel based on Reactome).

(B) A pathway-based analysis of metabolomic changes between Peri_V_DN groups. The differential abundance (DA) score captured the overall change in a metabolic pathway. A score of 1 indicated that all metabolites in this pathway increased in high Peri_V_DN group compared with low Peri_V_DN group, and a score of −1 indicated that all metabolites in this pathway decreased.

(C) Transcriptomics and metabolomics distinctions in fatty acid biosynthesis pathway between Peri_V_DN groups. Log2-fold changes of mRNA expression levels and metabolite abundances in high Peri_V_DN tumor samples compared with low Peri_V_DN tumor samples were demonstrated.

CoA, coenzyme A; FA, fatty acid; GSEA, gene set enrichment analysis; KEGG, Kyoto Encyclopedia of Genes and Genomes; NES, normalized enrichment score; TCA, tricarboxylic acid; TCR, T cell receptor. See also Figure S4 and Tables S5, S6, S7, and S8.