BAD

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

Across TCGA patient cohorts, BAD protein abundance is significantly associated with the RNA expression of many other genes, with 7,464 significant associations in total. BRCA shows the largest number of these associations.

The most reproducible BAD-associated genes across cancer lineages are DNAJC4, MT-CYB, and RCAN1. Each is linked with BAD in more than 2 cancer types. Because this analysis shows association rather than direction, both BAD-to-partner and partner-to-BAD results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, BAD versus DNAJC4 in GBM, with a Pearson correlation of 0.46.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (BAD→partner) and Y-score (partner→BAD) 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
GBMDNAJC4 →+0.466+0.337<.001<.00133
LUADMT-CYB →+0.769+0.201.001.00133
BRCARCAN1 →-0.725-0.397.003.00133
LSCCPGD →-0.792-0.156.003.00633
LSCCMRPL49 →+0.418+0.250.001.00233
LSCCUBXN10 →+1.311+0.311<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,464 associations by consensus.

BAD vs DNAJC4 — GBM

Per-sample scatter of BAD vs DNAJC4 in GBM (Pearson r = 0.46).

Explore this scatter interactively →

Exploration