Positive regulation of oxidoreductase activity

pathway activity — cross-omics
GO:0051353Cross-omicsPROTEIN-MS → PROTEIN-RPPACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of oxidoreductase activity pathway is significantly associated with the total protein of multiple features, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are SETD2, SF2, and TFRC, each associated with the pathway in up to 1 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 oxidoreductase activity activity versus SETD2 in LUNG_SCLC (Pearson r = -0.83).

Pathway-associated features 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 featureX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUNG_SCLCSETD2 →-0.257-0.387.007.04031
LUNG_SCLCSF2 →-0.332-0.387.005.04031
LUNG_SCLCTFRC →+1.633+0.387.015.04031
LUNG_SCLCCyclin-B1 →-0.997-0.387.038.04031
LUNG_SCLCPorin →+1.284+0.387.034.04021
LUNG_SCLCSTAT3_pY705 →+0.612+0.387.010.04021
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051353 vs SETD2 — LUNG_SCLC

Per-sample scatter of Positive regulation of oxidoreductase activity activity vs SETD2 in LUNG_SCLC.

Explore this scatter interactively →

Exploration