RNU6-1108P

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

Across TCGA patient cohorts, RNU6-1108P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,380 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-1108P-associated GO terms across cancer lineages are Regulation of protein localization to cell surface, Response to ketone, and Cellular response to ketone. Each is linked with RNU6-1108P in more than 3 cancer types. Because this analysis shows association rather than direction, both RNU6-1108P-to-partner and partner-to-RNU6-1108P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of protein localization to cell surface grouped by RNU6-1108P-low versus RNU6-1108P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-1108P→partner) and Y-score (partner→RNU6-1108P) 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
STADRegulation of protein localization to cell surface →+0.081+0.095<.001<.00134
STADResponse to ketone →+0.100+0.086<.001<.00133
STADCellular response to ketone →+0.093+0.150<.001<.00133
STADRegulation of cysteine-type endopeptidase activity →+0.120+0.107<.001<.00133
ESCARegulation of extrinsic apoptotic signaling pathway in absence of ligand →+0.089+0.168<.001.00524
STADRegulation of intrinsic apoptotic signaling pathway →+0.143+0.091<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,380 associations by consensus.

Regulation of protein localization to cell surface by RNU6-1108P expression — STAD

Box plot of Regulation of protein localization to cell surface in RNU6-1108P-low vs RNU6-1108P-high samples in STAD.

Explore this box plot interactively →

Exploration