Response to redox state

pathway activity — cross-omics
GO:0051775Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Response to redox state pathway is significantly associated with the RNA expression of multiple genes, with the KIDNEY cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are GRSF1, PLP2, and DCK, 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 scatter plot shows the strongest association, Response to redox state activity versus GRSF1 in KIDNEY (Pearson r = 0.81).

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
KIDNEYGRSF1 →+1.079+1.612.006<.00136
BLOOD_LymphomaPLP2 →-2.093-1.276<.001<.00135
BLOOD_LymphomaDCK →+1.622+0.920.001.00335
BLOOD_LeukemiaYEATS2 →+0.605+0.186<.001<.00126
UPPER_AERODIGESTIVE_TRACTPTK2 →+1.008+1.961.001<.00135
BLOOD_LeukemiaWDR33 →+0.507+0.189<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051775 vs GRSF1 — KIDNEY

Per-sample scatter of Response to redox state activity vs GRSF1 in KIDNEY.

Explore this scatter interactively →

Exploration