NECAB2

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

Across TCGA patient cohorts, NECAB2 protein abundance is significantly associated with the RNA expression of many other genes, with 8,774 significant associations in total. GBM shows the largest number of these associations.

The most reproducible NECAB2-associated genes across cancer lineages are SNRPD3, PRODH, and SEZ6L. Each is linked with NECAB2 in more than 1 cancer types. Because this analysis shows association rather than direction, both NECAB2-to-partner and partner-to-NECAB2 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, NECAB2 versus SNRPD3 in GBM, with a Pearson correlation of 0.25.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (NECAB2→partner) and Y-score (partner→NECAB2) 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
GBMSNRPD3 →+0.406+0.749<.001.00331
GBMPRODH →+0.771+0.758<.001<.00131
GBMSEZ6L →+1.108+0.504.003.00331
GBMLGALS1 →-0.642-0.624.003.00531
GBMSOX10 →+1.389+0.974<.001<.00131
GBMSLC16A8 →+0.602+0.739<.001<.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 8,774 associations by consensus.

NECAB2 vs SNRPD3 — GBM

Per-sample scatter of NECAB2 vs SNRPD3 in GBM (Pearson r = 0.25).

Explore this scatter interactively →

Exploration