RN7SL155P

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

Across TCGA patient cohorts, RN7SL155P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,732 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL155P-associated GO terms across cancer lineages are Regulation of carbohydrate metabolic process, Protein acetylation, and Peptidyl-lysine modification. Each is linked with RN7SL155P in more than 9 cancer types. Because this analysis shows association rather than direction, both RN7SL155P-to-partner and partner-to-RN7SL155P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of carbohydrate metabolic process grouped by RN7SL155P-low versus RN7SL155P-high in UCEC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL155P→partner) and Y-score (partner→RN7SL155P) 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
UCECRegulation of carbohydrate metabolic process →+0.040+0.063<.001<.00139
UCECProtein acetylation →+0.067+0.047<.001.00539
UCECPeptidyl-lysine modification →+0.071+0.115<.001<.00139
UCECNegative regulation of nuclear-transcribed mRNA catabolic process, deadenylation-dependent decay →+0.085+0.089<.001.00338
UCECNegative regulation of RNA catabolic process →+0.070+0.104<.001.00238
UCECNegative regulation of stem cell population maintenance →+0.066+0.092<.001.00538
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,732 associations by consensus.

Regulation of carbohydrate metabolic process by RN7SL155P expression — UCEC

Box plot of Regulation of carbohydrate metabolic process in RN7SL155P-low vs RN7SL155P-high samples in UCEC.

Explore this box plot interactively →

Exploration