RNASEH2B

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

Across TCGA cell cohorts, RNASEH2B protein abundance is significantly associated with the RNA expression of many other genes, with 3,810 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible RNASEH2B-associated genes across cancer lineages are AADAT, CD44, and PIKFYVE. Each is linked with RNASEH2B in more than 2 cancer types. Because this analysis shows association rather than direction, both RNASEH2B-to-partner and partner-to-RNASEH2B results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, RNASEH2B versus AADAT in BLOOD_Leukemia, with a Pearson correlation of -0.89.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RNASEH2B→partner) and Y-score (partner→RNASEH2B) 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
BLOOD_LeukemiaAADAT →-2.712-0.975<.001.00323
BLOOD_LeukemiaCD44 →-4.999-1.229<.001.00132
BLOOD_LymphomaPIKFYVE →-0.799-1.492.001.00232
BLOOD_LymphomaPRAM1 →-0.737-1.491.001.00232
BLOOD_LymphomaCEP120 →-0.760-1.492.003.00232
BLOOD_LymphomaTTC37 →-0.778-1.492.001.00232
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,810 associations by consensus.

RNASEH2B vs AADAT — BLOOD_Leukemia

Per-sample scatter of RNASEH2B vs AADAT in BLOOD_Leukemia (Pearson r = -0.89).

Explore this scatter interactively →

Exploration