DNAJC6

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

Across TCGA patient cohorts, DNAJC6 protein abundance is significantly associated with the RNA expression of many other genes, with 6,263 significant associations in total. GBM shows the largest number of these associations.

The most reproducible DNAJC6-associated genes across cancer lineages are COX6CP13, PLA2G4C, and CAMKK2. Each is linked with DNAJC6 in more than 3 cancer types. Because this analysis shows association rather than direction, both DNAJC6-to-partner and partner-to-DNAJC6 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, DNAJC6 versus COX6CP13 in LUAD, with a Pearson correlation of 0.60.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (DNAJC6→partner) and Y-score (partner→DNAJC6) 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
LUADCOX6CP13 →+1.046+0.633<.001<.00134
BRCAPLA2G4C →+0.631+0.599<.001<.00132
GBMCAMKK2 →+0.474+0.635<.001<.00132
BRCASLC41A3 →+0.545+0.744<.001<.00132
BRCAPRPSAP2 →+0.645+0.674<.001<.00132
BRCACARMIL2 →+0.946+0.969<.001<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,263 associations by consensus.

DNAJC6 vs COX6CP13 — LUAD

Per-sample scatter of DNAJC6 vs COX6CP13 in LUAD (Pearson r = 0.60).

Explore this scatter interactively →

Exploration