Response to interleukin-3

pathway activity — cross-omics
GO:0036015Cross-omicsPROTEIN-MS → PROTEIN-RPPACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Response to interleukin-3 pathway is significantly associated with the total protein of multiple features, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are eIF4G, FOXO3a, and IGFBP2, each associated with the pathway in up to 1 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, Response to interleukin-3 activity versus eIF4G in BLOOD_Leukemia (Pearson r = 0.94).

Pathway-associated features 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 featureX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_LeukemiaeIF4G →+2.042+0.138.044.00411
BLOOD_LeukemiaFOXO3a →+0.499+0.138.031.00411
BLOOD_LeukemiaIGFBP2 →+0.894+0.138.025.00411
BLOOD_LeukemiaPaxillin →+1.273+0.138.015.00411
BLOOD_LeukemiaPorin →-0.505-0.138.007.00411
BLOOD_LeukemiaRictor →+0.446+0.138.005.00411
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0036015 vs eIF4G — BLOOD_Leukemia

Per-sample scatter of Response to interleukin-3 activity vs eIF4G in BLOOD_Leukemia.

Explore this scatter interactively →

Exploration