Regulation of protein acetylation

pathway activity — cross-omics
GO:1901983Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of protein acetylation pathway is significantly associated with the RNA expression of multiple genes, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PHYHIP, ASPA, and KHDRBS2, each associated with the pathway in up to 7 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 protein acetylation activity versus PHYHIP in GBM (Pearson r = -0.08).

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
GBMPHYHIP →-1.736-0.356<.001<.00137
GBMASPA →-1.069-0.277<.001<.00136
GBMKHDRBS2 →-1.005-0.332<.001<.00136
OVSPARCL1 →-1.455-0.248<.001<.00136
OVLMOD1 →-1.082-0.240.002<.00136
BRCAZCCHC24 →-1.098-0.298<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1901983 vs PHYHIP — GBM

Per-sample scatter of Regulation of protein acetylation activity vs PHYHIP in GBM.

Explore this scatter interactively →

Exploration