NAIP

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

Across TCGA patient cohorts, NAIP protein abundance is significantly associated with the RNA expression of many other genes, with 18,868 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible NAIP-associated genes across cancer lineages are CD33, BIN2, and CD86. Each is linked with NAIP in more than 9 cancer types. Because this analysis shows association rather than direction, both NAIP-to-partner and partner-to-NAIP results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, NAIP versus CD33 in GBM, with a Pearson correlation of 0.83.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (NAIP→partner) and Y-score (partner→NAIP) 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
GBMCD33 →+0.924+0.834<.001<.001310
HNSCBIN2 →+0.946+0.328<.001<.001310
GBMCD86 →+1.143+0.804<.001<.001310
GBMTYROBP →+1.249+0.881<.001<.001310
UCECHCST →+1.337+0.437<.001<.001310
UCECFAM78A →+0.877+0.474<.001<.001310
Each partner links to its Q-omics profile. Showing the 6 strongest of 18,868 associations by consensus.

NAIP vs CD33 — GBM

Per-sample scatter of NAIP vs CD33 in GBM (Pearson r = 0.83).

Explore this scatter interactively →

Exploration