RNU6-1129P

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

Across TCGA patient cohorts, RNU6-1129P RNA expression is significantly associated with the go_rna of many other GO terms, with 1,220 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-1129P-associated GO terms across cancer lineages are Sensory perception of mechanical stimulus, Regulation of tumor necrosis factor-mediated signaling pathway, and Organophosphate ester transport. Each is linked with RNU6-1129P in more than 1 cancer types. Because this analysis shows association rather than direction, both RNU6-1129P-to-partner and partner-to-RNU6-1129P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Sensory perception of mechanical stimulus grouped by RNU6-1129P-low versus RNU6-1129P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-1129P→partner) and Y-score (partner→RNU6-1129P) 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
STADSensory perception of mechanical stimulus →+0.060+0.110<.001.00132
STADRegulation of tumor necrosis factor-mediated signaling pathway →+0.203+0.079<.001.00431
STADOrganophosphate ester transport →+0.146+0.101<.001.00331
STADL-amino acid transport →+0.128+0.050<.001.00531
STADIron-sulfur cluster assembly →+0.194+0.110<.001.00431
STADProtein import into peroxisome matrix →+0.185+0.049<.001.00631
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,220 associations by consensus.

Sensory perception of mechanical stimulus by RNU6-1129P expression — STAD

Box plot of Sensory perception of mechanical stimulus in RNU6-1129P-low vs RNU6-1129P-high samples in STAD.

Explore this box plot interactively →

Exploration