RNU6-794P

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNU6-794P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,904 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-794P-associated GO terms across cancer lineages are Internal protein amino acid acetylation, Spliceosomal complex assembly, and Protein stabilization. Each is linked with RNU6-794P in more than 8 cancer types. Because this analysis shows association rather than direction, both RNU6-794P-to-partner and partner-to-RNU6-794P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Internal protein amino acid acetylation grouped by RNU6-794P-low versus RNU6-794P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-794P→partner) and Y-score (partner→RNU6-794P) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
STADInternal protein amino acid acetylation →+0.104+0.181<.001<.00139
STADSpliceosomal complex assembly →+0.106+0.175<.001<.00139
STADProtein stabilization →+0.115+0.178<.001<.00139
STADPositive regulation of intracellular protein transport →+0.111+0.185<.001<.00139
STADPositive regulation of DNA biosynthetic process →+0.109+0.131<.001<.00139
STADNegative regulation of nuclear-transcribed mRNA catabolic process, deadenylation-dependent decay →+0.119+0.193<.001<.00139
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,904 associations by consensus.

Internal protein amino acid acetylation by RNU6-794P expression — STAD

Box plot of Internal protein amino acid acetylation in RNU6-794P-low vs RNU6-794P-high samples in STAD.

Explore this box plot interactively →

Exploration