SETD3

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

Across TCGA cell cohorts, SETD3 protein abundance is significantly associated with the RNA expression of many other genes, with 5,830 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible SETD3-associated genes across cancer lineages are HSPG2, TAPBP, and RBKS. Each is linked with SETD3 in more than 5 cancer types. Because this analysis shows association rather than direction, both SETD3-to-partner and partner-to-SETD3 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SETD3 versus HSPG2 in LUNG_NSCLC_LUSC, with a Pearson correlation of -0.80.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETD3→partner) and Y-score (partner→SETD3) 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
LUNG_NSCLC_LUSCHSPG2 →-4.359-1.056.005.00336
URINARY_TRACTTAPBP →-1.636-2.443.001<.00136
LIVERRBKS →-1.469-1.914.001.00236
BLOOD_LeukemiaCITED4 →-1.433-0.565.005.00336
BLOOD_LeukemiaMARCKSL1 →+1.195+0.569.001.00336
LUNG_SCLCHMGB2 →+0.788+0.745.002.00736
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,830 associations by consensus.

SETD3 vs HSPG2 — LUNG_NSCLC_LUSC

Per-sample scatter of SETD3 vs HSPG2 in LUNG_NSCLC_LUSC (Pearson r = -0.80).

Explore this scatter interactively →

Exploration