RNU6-1137P

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

Across TCGA patient cohorts, RNU6-1137P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,672 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-1137P-associated GO terms across cancer lineages are Protein polymerization, RNA 3'-end processing, and Obsolete regulation of dosage compensation by inactivation of X chromosome. Each is linked with RNU6-1137P in more than 9 cancer types. Because this analysis shows association rather than direction, both RNU6-1137P-to-partner and partner-to-RNU6-1137P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Protein polymerization grouped by RNU6-1137P-low versus RNU6-1137P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-1137P→partner) and Y-score (partner→RNU6-1137P) 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
STADProtein polymerization →+0.097+0.105<.001<.001310
STADRNA 3'-end processing →+0.107+0.091<.001<.001310
STADObsolete regulation of dosage compensation by inactivation of X chromosome →+0.108+0.198<.001<.00139
STADPositive regulation of post-translational protein modification →+0.103+0.104<.001<.00139
STADRegulation of proteolysis involved in protein catabolic process →+0.108+0.104<.001<.00139
STADTranscription initiation at RNA polymerase II promoter →+0.110+0.113<.001<.00139
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,672 associations by consensus.

Protein polymerization by RNU6-1137P expression — STAD

Box plot of Protein polymerization in RNU6-1137P-low vs RNU6-1137P-high samples in STAD.

Explore this box plot interactively →

Exploration