ASCC3

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

Across TCGA cell cohorts, ASCC3 protein abundance is significantly associated with the RNA expression of many other genes, with 6,281 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible ASCC3-associated genes across cancer lineages are GFUS, SLC52A2, and CYC1. Each is linked with ASCC3 in more than 6 cancer types. Because this analysis shows association rather than direction, both ASCC3-to-partner and partner-to-ASCC3 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, ASCC3 versus GFUS in BREAST, with a Pearson correlation of 0.46.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ASCC3→partner) and Y-score (partner→ASCC3) 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
BREASTGFUS →+1.013+0.844.009.00637
BLOOD_LymphomaSLC52A2 →+1.189+0.943<.001<.00137
BLOOD_MyelomaCYC1 →+0.940+0.638.003.00327
KIDNEYZNF707 →+1.135+1.001.006.00227
BREASTGNB1 →-0.830-0.821.002.00136
BLOOD_LeukemiaNSD2 →-0.839-0.550<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,281 associations by consensus.

ASCC3 vs GFUS — BREAST

Per-sample scatter of ASCC3 vs GFUS in BREAST (Pearson r = 0.46).

Explore this scatter interactively →

Exploration