RNU6-1256P

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

Across TCGA patient cohorts, RNU6-1256P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,327 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-1256P-associated GO terms across cancer lineages are Positive regulation of binding, Microtubule organizing center organization, and Tumor necrosis factor-mediated signaling pathway. Each is linked with RNU6-1256P in more than 11 cancer types. Because this analysis shows association rather than direction, both RNU6-1256P-to-partner and partner-to-RNU6-1256P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of binding grouped by RNU6-1256P-low versus RNU6-1256P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-1256P→partner) and Y-score (partner→RNU6-1256P) 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
STADPositive regulation of binding →+0.078+0.409<.001<.001312
STADMicrotubule organizing center organization →+0.074+0.359<.001<.001312
STADTumor necrosis factor-mediated signaling pathway →+0.062+0.282<.001<.001312
STADPositive regulation of amide metabolic process →+0.082+0.377<.001<.001312
STADPositive regulation of plasma membrane bounded cell projection assembly →+0.072+0.401<.001<.001311
STADRegulation of cell projection assembly →+0.070+0.418<.001<.001311
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,327 associations by consensus.

Positive regulation of binding by RNU6-1256P expression — STAD

Box plot of Positive regulation of binding in RNU6-1256P-low vs RNU6-1256P-high samples in STAD.

Explore this box plot interactively →

Exploration