NIT1

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

Across TCGA patient cohorts, NIT1 protein abundance is significantly associated with the RNA expression of many other genes, with 9,182 significant associations in total. GBM shows the largest number of these associations.

The most reproducible NIT1-associated genes across cancer lineages are PBXIP1, SDHC, and PEX19. Each is linked with NIT1 in more than 6 cancer types. Because this analysis shows association rather than direction, both NIT1-to-partner and partner-to-NIT1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, NIT1 versus PBXIP1 in GBM, with a Pearson correlation of 0.28.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (NIT1→partner) and Y-score (partner→NIT1) 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
GBMPBXIP1 →+0.688+0.273.001.00137
LUADSDHC →+0.614+0.247<.001.00235
LUADPEX19 →+0.629+0.255<.001<.00135
UCECTRMT1L →+0.537+0.359<.001<.00135
BRCAFMO5 →+1.315+0.344<.001<.00135
LSCCATF6 →+0.396+0.238<.001.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 9,182 associations by consensus.

NIT1 vs PBXIP1 — GBM

Per-sample scatter of NIT1 vs PBXIP1 in GBM (Pearson r = 0.28).

Explore this scatter interactively →

Exploration