Regulation of oxidative phosphorylation

pathway activity — cross-omics
GO:0002082Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of oxidative phosphorylation 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 TRIR, NUCKS1, and PLIN2, each associated with the pathway in up to 5 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, Regulation of oxidative phosphorylation activity versus TRIR in GBM (Pearson r = -0.26).

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
GBMTRIR →-0.469-0.052<.001<.00134
COADNUCKS1 →-0.567-0.027.007.00925
COADPLIN2 →+0.492+0.037.001.00134
HNSCRFX7_S202 →-0.503-0.055<.001.00234
GBMBRD4 →-0.253-0.044.001.00234
GBMCTDSPL2 →-0.364-0.041.004.00334
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0002082 vs TRIR — GBM

Per-sample scatter of Regulation of oxidative phosphorylation activity vs TRIR in GBM.

Explore this scatter interactively →

Exploration