Positive regulation of cardiocyte differentiation

pathway activity — cross-omics
GO:1905209Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of cardiocyte differentiation 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 ACSS2, APOBEC3B, and DNAJB1, each associated with the pathway in up to 5 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 cardiocyte differentiation activity versus ACSS2 in BLOOD_Leukemia (Pearson r = -0.39).

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_LeukemiaACSS2 →-1.211-0.301.001.00734
BLOOD_LymphomaAPOBEC3B →-3.632-0.193<.001.00934
BLOOD_MyelomaDNAJB1 →+0.914+0.418.002.00134
BLOOD_MyelomaTMEM168 →+0.971+0.516.007.00333
LUNG_NSCLC_LUADINTS4 →+0.526+0.248.001.00433
LUNG_NSCLC_LUADADCK5 →+1.016+0.336<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1905209 vs ACSS2 — BLOOD_Leukemia

Per-sample scatter of Positive regulation of cardiocyte differentiation activity vs ACSS2 in BLOOD_Leukemia.

Explore this scatter interactively →

Exploration