RGS17

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RGS17 protein abundance is significantly associated with the RNA expression of many other genes, with 1,757 significant associations in total. GBM shows the largest number of these associations.

The most reproducible RGS17-associated genes across cancer lineages are IQSEC3, KIAA0513, and DAPL1. Each is linked with RGS17 in more than 1 cancer types. Because this analysis shows association rather than direction, both RGS17-to-partner and partner-to-RGS17 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, RGS17 versus IQSEC3 in LUAD, with a Pearson correlation of 0.51.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RGS17→partner) and Y-score (partner→RGS17) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUADIQSEC3 →+0.786+0.678.006.00232
LUADKIAA0513 →+0.955+0.783.002.00232
LUADDAPL1 →+0.955+0.642<.001.00332
LUADRAB5IF →-0.779-0.657.003<.00131
LUADSKP1 →+0.548+0.751.007.00731
LUADSGK1 →+1.076+0.826.003.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,757 associations by consensus.

RGS17 vs IQSEC3 — LUAD

Per-sample scatter of RGS17 vs IQSEC3 in LUAD (Pearson r = 0.51).

Explore this scatter interactively →

Exploration