Positive regulation of erythrocyte differentiation

pathway activity — cross-omics
GO:0045648Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of erythrocyte differentiation pathway is significantly associated with the RNA expression of multiple genes, with the UCEC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are CEP128, ZKSCAN4, and ALDH7A1P1, each associated with the pathway in up to 3 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, Positive regulation of erythrocyte differentiation activity versus CEP128 in UCEC (Pearson r = 0.42).

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
UCECCEP128 →+0.539+0.443<.001<.00133
PDACZKSCAN4 →+0.307+0.653<.001.00133
BRCAALDH7A1P1 →-0.512-0.234.004.00233
OVPCNA →+0.534+0.611.007.00233
COADUBE2L4 →-0.394-0.574<.001<.00133
GBMNUP85 →+0.313+0.303.003.00333
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045648 vs CEP128 — UCEC

Per-sample scatter of Positive regulation of erythrocyte differentiation activity vs CEP128 in UCEC.

Explore this scatter interactively →

Exploration