Regulation of protein neddylation

pathway activity — cross-omics
GO:2000434Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are SAP30, ATP5F1D, and WRAP53, each associated with the pathway in up to 6 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 neddylation activity versus SAP30 in SOFT_TISSUE (Pearson r = 0.67).

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
SOFT_TISSUESAP30 →+1.401+2.068.006<.00135
SOFT_TISSUEATP5F1D →+0.543+1.564.002.00526
URINARY_TRACTWRAP53 →+1.505+1.979<.001.00735
BREASTEXOSC9 →+0.565+1.115.001.00135
LIVERHNRNPD →+0.920+2.340.002.00235
LIVERPOM121 →+1.046+2.327.002<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000434 vs SAP30 — SOFT_TISSUE

Per-sample scatter of Regulation of protein neddylation activity vs SAP30 in SOFT_TISSUE.

Explore this scatter interactively →

Exploration