RNU6-75P

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

Across TCGA patient cohorts, RNU6-75P RNA expression is significantly associated with the go_rna of many other GO terms, with 4,654 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-75P-associated GO terms across cancer lineages are Regulation of mitochondrial transcription, Modified amino acid transport, and Nucleoside phosphate biosynthetic process. Each is linked with RNU6-75P in more than 4 cancer types. Because this analysis shows association rather than direction, both RNU6-75P-to-partner and partner-to-RNU6-75P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of mitochondrial transcription grouped by RNU6-75P-low versus RNU6-75P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-75P→partner) and Y-score (partner→RNU6-75P) 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
STADRegulation of mitochondrial transcription →+0.092+0.119<.001<.00135
BLCAModified amino acid transport →+0.042+0.027.001.00634
STADNucleoside phosphate biosynthetic process →+0.110+0.235<.001<.00134
STADPositive regulation of proteasomal protein catabolic process →+0.112+0.124<.001<.00134
STADNeuron projection extension →+0.060+0.188<.001<.00134
STADPositive regulation of ubiquitin-dependent protein catabolic process →+0.110+0.201<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,654 associations by consensus.

Regulation of mitochondrial transcription by RNU6-75P expression — STAD

Box plot of Regulation of mitochondrial transcription in RNU6-75P-low vs RNU6-75P-high samples in STAD.

Explore this box plot interactively →

Exploration