RN7SL305P

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

Across TCGA patient cohorts, RN7SL305P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,660 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL305P-associated GO terms across cancer lineages are Regulation of microtubule polymerization, Positive regulation of post-translational protein modification, and Regulation of microtubule-based process. Each is linked with RN7SL305P in more than 14 cancer types. Because this analysis shows association rather than direction, both RN7SL305P-to-partner and partner-to-RN7SL305P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of microtubule polymerization grouped by RN7SL305P-low versus RN7SL305P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL305P→partner) and Y-score (partner→RN7SL305P) 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 microtubule polymerization →+0.057+0.159<.001<.001315
STADPositive regulation of post-translational protein modification →+0.069+0.157<.001<.001314
STADRegulation of microtubule-based process →+0.054+0.188<.001<.001313
STADProtein homooligomerization →+0.040+0.142<.001<.001313
STADVesicle localization →+0.058+0.167<.001<.001313
STADHistone mRNA metabolic process →+0.058+0.134<.001<.001313
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,660 associations by consensus.

Regulation of microtubule polymerization by RN7SL305P expression — STAD

Box plot of Regulation of microtubule polymerization in RN7SL305P-low vs RN7SL305P-high samples in STAD.

Explore this box plot interactively →

Exploration