Peptidyl-serine autophosphorylation

pathway activity — cross-omics
GO:0036289Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Peptidyl-serine autophosphorylation 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 GPATCH4, NIFK_T223, and COIL_T303, 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, Peptidyl-serine autophosphorylation activity versus GPATCH4 in GBM (Pearson r = -0.02).

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
GBMGPATCH4 →-0.526-0.052<.001<.00137
BRCANIFK_T223 →-0.785-0.046.001<.00137
BRCACOIL_T303 →-1.001-0.039<.001<.00137
UCECNCAPH →-0.662-0.051<.001.00937
BRCATRMT1L →-0.313-0.050<.001<.00137
BRCAUBE2T →-0.838-0.043<.001<.00137
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0036289 vs GPATCH4 — GBM

Per-sample scatter of Peptidyl-serine autophosphorylation activity vs GPATCH4 in GBM.

Explore this scatter interactively →

Exploration