Negative regulation of cell fate commitment

pathway activity — cross-omics
GO:0010454Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of cell fate commitment pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are LGALS1, EMP3, and FOSL1, each associated with the pathway in up to 18 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 cell fate commitment activity versus LGALS1 in LUNG_SCLC (Pearson r = 0.57).

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
LUNG_SCLCLGALS1 →+6.463+1.205<.001<.001318
URINARY_TRACTEMP3 →+3.567+0.283<.001<.001314
CNSFOSL1 →+2.882+0.211<.001<.001314
STOMACHDKK1 →+4.171+0.299.001.004214
BLOOD_LymphomaWNK2 →-2.559-0.356<.001<.001312
LUNG_SCLCTNFRSF12A →+2.644+1.093<.001<.001312
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0010454 vs LGALS1 — LUNG_SCLC

Per-sample scatter of Negative regulation of cell fate commitment activity vs LGALS1 in LUNG_SCLC.

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Exploration