Fig. 4: Integrated metabolomic, transcriptomic and single-cell omic analyses of differentiation progression. | npj Digital Medicine

Fig. 4: Integrated metabolomic, transcriptomic and single-cell omic analyses of differentiation progression.

From: Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling

Fig. 4

Multi-layer analyses reveal stepwise metabolic-pathway activation tracking the transition from PTC to aggressive ATC. a Heatmap visualizing ssGSEA results for thyroid carcinoma samples in the FUSCC cohort, with pathway enrichment scores normalized and represented as normalized enrichment scores (NESs). b Multigroup differential analysis showing the common significantly varied component (q < 0.05, Log2 FC > 2 or Log2 FC < −2). Metabolomic data were analyzed via Benjamini‒Hochberg-corrected Mann‒Whitney U tests (left panel). Transcriptomic data were analyzed via DEseq2 (right panel). c Linear clustering showing the polar metabolites (n = 7) and lipid categories (n = 2) with an increasing tendency during dedifferentiation. d Pathway enrichment in KEGG and SMPDB (q < 0.05). Red represents persistently changed pathways, and green and blue represent dedifferentiation-specific pathways. e UMAP plot visualizing the single-cell transcriptomics data from untreated ATC samples in the GSE193581 database. f Active metabolic pathways in epithelial cells from untreated PTC and ATC samples in the GSE193581 cohort.

Back to article page