TAC1

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

Across TCGA patient cohorts, TAC1 protein abundance is significantly associated with the RNA expression of many other genes, with 3,757 significant associations in total. GBM shows the largest number of these associations.

The most reproducible TAC1-associated genes across cancer lineages are SLC22A10, PRODH, and SEZ6L. Each is linked with TAC1 in more than 1 cancer types. Because this analysis shows association rather than direction, both TAC1-to-partner and partner-to-TAC1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, TAC1 versus SLC22A10 in GBM, with a Pearson correlation of 0.38.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (TAC1→partner) and Y-score (partner→TAC1) 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
GBMSLC22A10 →+0.281+0.820<.001<.00132
GBMPRODH →+0.764+0.658<.001<.00131
GBMSEZ6L →+1.498+0.752<.001<.00131
GBMLGALS1 →-0.529-0.581.001.00231
GBMSEPTIN3 →+1.132+0.849<.001<.00131
GBMNEFH →+1.240+0.979<.001<.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,757 associations by consensus.

TAC1 vs SLC22A10 — GBM

Per-sample scatter of TAC1 vs SLC22A10 in GBM (Pearson r = 0.38).

Explore this scatter interactively →

Exploration