Positive regulation of interleukin-13 production

pathway activity — cross-omics
GO:0032736Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of interleukin-13 production pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Lymphoma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are RNF170, TTF1, and AGPS, each associated with the pathway in up to 4 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, Positive regulation of interleukin-13 production activity versus RNF170 in BLOOD_Lymphoma (Pearson r = 0.55).

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
BLOOD_LymphomaRNF170 →+1.385+1.197.006.00634
URINARY_TRACTTTF1 →-0.609-0.530<.001.00134
BLOOD_MyelomaAGPS →+0.966+0.402.008.00734
OVARYIL18 →+2.928+1.492<.001<.00134
BLOOD_LymphomaDNASE2 →+2.293+1.764.001<.00133
BLOOD_LymphomaSLC22A18 →+2.435+1.383<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032736 vs RNF170 — BLOOD_Lymphoma

Per-sample scatter of Positive regulation of interleukin-13 production activity vs RNF170 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration