Regulation of ATP-dependent activity

pathway activity — cross-omics
GO:0043462Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of ATP-dependent activity pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Myeloma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are EIF2S3, THBS4, and LSM2, 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 ATP-dependent activity activity versus EIF2S3 in BLOOD_Myeloma (Pearson r = 0.38).

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
BLOOD_MyelomaEIF2S3 →+0.517+0.112.004.00535
LUNG_SCLCTHBS4 →+1.013+0.112.005.00326
BLOOD_LeukemiaLSM2 →+0.358+0.184.009<.00135
SKINHPGD →-1.735-0.182.001.00634
SKINSLC9A7 →+1.819+0.192<.001<.00134
LUNG_NSCLC_LUSCKALRN →-1.470-0.206.008.00634
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0043462 vs EIF2S3 — BLOOD_Myeloma

Per-sample scatter of Regulation of ATP-dependent activity activity vs EIF2S3 in BLOOD_Myeloma.

Explore this scatter interactively →

Exploration