RNU6-89P

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

Across TCGA patient cohorts, RNU6-89P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,028 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-89P-associated GO terms across cancer lineages are Negative regulation of organelle assembly, Positive regulation of double-strand break repair, and Positive regulation of amide metabolic process. Each is linked with RNU6-89P in more than 8 cancer types. Because this analysis shows association rather than direction, both RNU6-89P-to-partner and partner-to-RNU6-89P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of organelle assembly grouped by RNU6-89P-low versus RNU6-89P-high in LUSC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-89P→partner) and Y-score (partner→RNU6-89P) 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
LUSCNegative regulation of organelle assembly →+0.094+0.046<.001.00138
STADPositive regulation of double-strand break repair →+0.072+0.279<.001<.00138
STADPositive regulation of amide metabolic process →+0.078+0.336<.001<.00138
STADNegative regulation of gene expression, epigenetic →+0.078+0.321<.001<.00138
STADPositive regulation of DNA metabolic process →+0.077+0.324<.001<.00138
LUSCNuclear export →+0.132+0.032<.001.00238
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,028 associations by consensus.

Negative regulation of organelle assembly by RNU6-89P expression — LUSC

Box plot of Negative regulation of organelle assembly in RNU6-89P-low vs RNU6-89P-high samples in LUSC.

Explore this box plot interactively →

Exploration