RECQL4

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

Across TCGA patient cohorts, RECQL4 protein abundance is significantly associated with the RNA expression of many other genes, with 3,843 significant associations in total. HNSC shows the largest number of these associations.

The most reproducible RECQL4-associated genes across cancer lineages are NUF2, ORC6, and POLE2. Each is linked with RECQL4 in more than 4 cancer types. Because this analysis shows association rather than direction, both RECQL4-to-partner and partner-to-RECQL4 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, RECQL4 versus NUF2 in BRCA, with a Pearson correlation of 0.40.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RECQL4→partner) and Y-score (partner→RECQL4) 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
BRCANUF2 →+0.941+0.327<.001<.00135
BRCAORC6 →+0.885+0.442<.001<.00135
LSCCPOLE2 →+0.847+0.637<.001<.00134
LSCCCDKN3 →+1.072+0.536<.001<.00134
HNSCVRK1 →+0.985+0.462.004.00634
UCECGINS1 →+1.011+0.786<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,843 associations by consensus.

RECQL4 vs NUF2 — BRCA

Per-sample scatter of RECQL4 vs NUF2 in BRCA (Pearson r = 0.40).

Explore this scatter interactively →

Exploration