Negative regulation of muscle cell differentiation

pathway activity — cross-omics
GO:0051148Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of muscle cell differentiation 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 SEMA4C, STX2, and DZIP1L, each associated with the pathway in up to 8 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 muscle cell differentiation activity versus SEMA4C in BLOOD_Lymphoma (Pearson r = -0.53).

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_LymphomaSEMA4C →-2.041-0.266.001<.00138
OVARYSTX2 →-1.516-0.243.001.00937
BREASTDZIP1L →-1.503-0.286<.001<.00137
LARGE_INTESTINEMED1 →-0.670-0.193<.001.00337
LUNG_NSCLC_LUADC1orf216 →-0.891-0.286.002<.00137
BLOOD_LymphomaSLC26A10 →-1.714-0.321.001.00236
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051148 vs SEMA4C — BLOOD_Lymphoma

Per-sample scatter of Negative regulation of muscle cell differentiation activity vs SEMA4C in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration