Negative regulation of protein acetylation

pathway activity — cross-omics
GO:1901984Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of protein acetylation pathway is significantly associated with the protein abundance of multiple proteins, with the PDAC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are ECT2_T359, BAZ1B_S349, and TOP2A, 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, Negative regulation of protein acetylation activity versus ECT2_T359 in PDAC (Pearson r = -0.10).

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
PDACECT2_T359 →+1.240+0.078<.001<.00138
PDACBAZ1B_S349 →+0.902+0.071<.001<.00137
LUADTOP2A →+0.874+0.074<.001<.00137
PDACTOP2A_S1106 →+1.085+0.063<.001<.00137
PDACTOP2A_S1213 →+0.824+0.079<.001<.00137
LUADBRCA1_S114 →+0.832+0.058<.001<.00137
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1901984 vs ECT2_T359 — PDAC

Per-sample scatter of Negative regulation of protein acetylation activity vs ECT2_T359 in PDAC.

Explore this scatter interactively →

Exploration