Positive regulation of erythrocyte differentiation

pathway activity — cross-omics
GO:0045648Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of erythrocyte differentiation pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are ADPRH, TLN1, and CACNA2D1, each associated with the pathway in up to 8 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 ADPRH in GBM (Pearson r = 0.28).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMADPRH →+0.442+0.042<.001<.00137
COADTLN1 →+0.324+0.025.003.00128
COADCACNA2D1 →+0.483+0.022.001.00437
OVCNN2 →+0.613+0.039<.001<.00137
GBMMX2 →+0.848+0.053<.001<.00137
UCECPPP1R18 →+0.406+0.076<.001.00437
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045648 vs ADPRH — GBM

Per-sample scatter of Positive regulation of erythrocyte differentiation activity vs ADPRH in GBM.

Explore this scatter interactively →

Exploration