RN7SL783P

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

Across TCGA patient cohorts, RN7SL783P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,051 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL783P-associated GO terms across cancer lineages are Cellular ketone metabolic process, Regulation of translational initiation, and SCF-dependent proteasomal ubiquitin-dependent protein catabolic process. Each is linked with RN7SL783P in more than 7 cancer types. Because this analysis shows association rather than direction, both RN7SL783P-to-partner and partner-to-RN7SL783P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Cellular ketone metabolic process grouped by RN7SL783P-low versus RN7SL783P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL783P→partner) and Y-score (partner→RN7SL783P) 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
STADCellular ketone metabolic process →+0.049+0.100<.001<.00138
STADRegulation of translational initiation →+0.085+0.103<.001<.00138
STADSCF-dependent proteasomal ubiquitin-dependent protein catabolic process →+0.066+0.131<.001<.00138
STADRegulation of generation of precursor metabolites and energy →+0.068+0.129<.001<.00138
STADMembrane lipid biosynthetic process →+0.057+0.142<.001<.00138
STADMicrotubule-based transport →+0.050+0.111<.001<.00137
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,051 associations by consensus.

Cellular ketone metabolic process by RN7SL783P expression — STAD

Box plot of Cellular ketone metabolic process in RN7SL783P-low vs RN7SL783P-high samples in STAD.

Explore this box plot interactively →

Exploration