Negative regulation of protein serine/threonine kinase activity

pathway activity — cross-omics
GO:0071901Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of protein serine/threonine kinase activity pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PYGL, EPB41L5, and RAB15, 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, Negative regulation of protein serine/threonine kinase activity activity versus PYGL in BLOOD_Leukemia (Pearson r = 0.48).

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_LeukemiaPYGL →+3.979+0.247<.001<.00134
BLOOD_LeukemiaEPB41L5 →-1.517-0.260<.001<.00134
BLOOD_LeukemiaRAB15 →-1.587-0.248.002.00134
BLOOD_LeukemiaC16orf87 →-0.723-0.254<.001<.00134
KIDNEYFANK1 →+1.690+0.454.005.00134
SOFT_TISSUESLC38A6 →+1.220+0.173<.001.00334
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0071901 vs PYGL — BLOOD_Leukemia

Per-sample scatter of Negative regulation of protein serine/threonine kinase activity activity vs PYGL in BLOOD_Leukemia.

Explore this scatter interactively →

Exploration