Regulation of NK T cell differentiation

pathway activity — cross-omics
GO:0051136Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of NK T cell differentiation pathway is significantly associated with the RNA expression of multiple genes, with the SOFT_TISSUE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are TGFBR2, AXL, and ITGA3, each associated with the pathway in up to 19 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Regulation of NK T cell differentiation activity versus TGFBR2 in SOFT_TISSUE (Pearson r = 0.88).

Pathway-associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
SOFT_TISSUETGFBR2 →+3.782+1.716<.001<.001319
BONEAXL →+5.904+1.382<.001<.001310
BONEITGA3 →+3.240+1.155<.001<.001310
BONETNFRSF12A →+3.261+1.178<.001<.00139
SOFT_TISSUENT5E →+3.771+1.282<.001<.00139
BONEGNG12 →+3.541+1.584<.001<.00139
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051136 vs TGFBR2 — SOFT_TISSUE

Per-sample scatter of Regulation of NK T cell differentiation activity vs TGFBR2 in SOFT_TISSUE.

Explore this scatter interactively →

Exploration