Positive regulation of gap junction assembly

pathway activity — cross-omics
GO:1903598Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of gap junction assembly pathway is significantly associated with the shRNA dependency 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 EXTL2, DGKQ, and CEBPA, each associated with the pathway in up to 6 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 box plot shows the strongest association, EXTL2 grouped by Positive regulation of gap junction assembly-low versus -high activity in BLOOD_Leukemia.

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_LeukemiaEXTL2 →-0.234-1.558.003.00136
SKINDGKQ →-0.206-0.221.004.00635
BLOOD_LeukemiaCEBPA →+0.373+1.302<.001<.00134
SOFT_TISSUEEPB41L4A →-0.166-1.211.001.00234
SKINRAPGEF6 →+0.290+0.278<.001<.00134
PANCREASUSP32P2 →+0.178+0.398.009.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

EXTL2 by Positive regulation of gap junction assembly activity — BLOOD_Leukemia

Box plot of EXTL2 in Positive regulation of gap junction assembly-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration