Regulation of peptidyl-lysine acetylation

pathway activity — cross-omics
GO:2000756Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of peptidyl-lysine acetylation pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are KLF15, SIRT1, and DIP2B, each associated with the pathway in up to 15 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 peptidyl-lysine acetylation activity versus KLF15 in LUNG_SCLC (Pearson r = -0.50).

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
LUNG_SCLCKLF15 →-1.173-0.138<.001<.001314
PANCREASSIRT1 →+0.913+0.123.001.004215
SOFT_TISSUEDIP2B →+0.952+0.106<.001<.001311
BLOOD_LymphomaSMC3 →+1.102+0.092<.001<.001311
LARGE_INTESTINEPCGF6 →+0.584+0.097.004.003311
STOMACHCHUK →+0.870+0.148<.001<.001310
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000756 vs KLF15 — LUNG_SCLC

Per-sample scatter of Regulation of peptidyl-lysine acetylation activity vs KLF15 in LUNG_SCLC.

Explore this scatter interactively →

Exploration