Eosinophil differentiation

pathway activity — cross-omics
GO:0030222Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Eosinophil differentiation pathway is significantly associated with the shRNA dependency of multiple genes, with the CNS cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are KCNA10, ATP6AP2, and ACTR6, each associated with the pathway in up to 4 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, KCNA10 grouped by Eosinophil differentiation-low versus -high activity in CNS.

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
CNSKCNA10 →+0.160+0.711<.001.00334
SKINATP6AP2 →-0.136-0.928.009.00524
SKINACTR6 →+0.154+0.695.002.00333
LUNG_NSCLC_LUADPRDX6 →-0.207-1.095.001<.00124
LUNG_NSCLC_LUADPCDHGB2 →+0.145+0.769<.001<.00133
BLOOD_LeukemiaSLC10A5 →+0.207+0.313.007<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

KCNA10 by Eosinophil differentiation activity — CNS

Box plot of KCNA10 in Eosinophil differentiation-low vs -high samples in CNS.

Explore this box plot interactively →

Exploration