RNU7-47P

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

Across TCGA patient cohorts, RNU7-47P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,980 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU7-47P-associated GO terms across cancer lineages are Regulation of microtubule polymerization or depolymerization, Protein acylation, and Protein localization to cytoskeleton. Each is linked with RNU7-47P in more than 26 cancer types. Because this analysis shows association rather than direction, both RNU7-47P-to-partner and partner-to-RNU7-47P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of microtubule polymerization or depolymerization grouped by RNU7-47P-low versus RNU7-47P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU7-47P→partner) and Y-score (partner→RNU7-47P) 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
ESCARegulation of microtubule polymerization or depolymerization →+0.062+0.639<.001<.001327
ESCAProtein acylation →+0.069+0.840<.001<.001327
ESCAProtein localization to cytoskeleton →+0.045+0.538<.001<.001327
ESCAGolgi organization →+0.065+0.763<.001<.001327
ESCANuclear-transcribed mRNA catabolic process →+0.079+0.722<.001<.001327
ESCAMaintenance of cell number →+0.069+0.879<.001<.001326
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,980 associations by consensus.

Regulation of microtubule polymerization or depolymerization by RNU7-47P expression — ESCA

Box plot of Regulation of microtubule polymerization or depolymerization in RNU7-47P-low vs RNU7-47P-high samples in ESCA.

Explore this box plot interactively →

Exploration