Negative regulation of smooth muscle cell differentiation

pathway activity — cross-omics
GO:0051151Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of smooth 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 TJP2, MECP2, and TPRKB, each associated with the pathway in up to 7 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 smooth muscle cell differentiation activity versus TJP2 in BLOOD_Lymphoma (Pearson r = -0.37).

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_LymphomaTJP2 →-1.756-0.101.001<.00137
LUNG_NSCLC_LUSCMECP2 →+0.725+0.082.007.00737
BLOOD_LymphomaTPRKB →-0.753-0.074<.001.00336
BLOOD_LymphomaARNTL2 →-1.503-0.069.001.00336
PANCREASALDH3B1 →-1.515-0.055.005.00636
BLOOD_LymphomaTXN →-0.811-0.071.008<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051151 vs TJP2 — BLOOD_Lymphoma

Per-sample scatter of Negative regulation of smooth muscle cell differentiation activity vs TJP2 in BLOOD_Lymphoma.

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Exploration