OR51G2

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

Across TCGA patient cohorts, OR51G2 RNA expression is significantly associated with the go_rna of many other GO terms, with 5,823 significant associations in total. STAD shows the largest number of these associations.

The most reproducible OR51G2-associated GO terms across cancer lineages are Regulation of generation of precursor metabolites and energy, Vesicle localization, and Liposaccharide metabolic process. Each is linked with OR51G2 in more than 6 cancer types. Because this analysis shows association rather than direction, both OR51G2-to-partner and partner-to-OR51G2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of generation of precursor metabolites and energy grouped by OR51G2-low versus OR51G2-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (OR51G2→partner) and Y-score (partner→OR51G2) 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
ESCARegulation of generation of precursor metabolites and energy →+0.113+0.020<.001<.00137
STADVesicle localization →+0.109+0.043<.001<.00136
STADLiposaccharide metabolic process →+0.084+0.044<.001<.00136
STADPositive regulation of ubiquitin-dependent protein catabolic process →+0.118+0.047<.001<.00136
STADVesicle coating →+0.115+0.046<.001<.00136
STADGlycerophospholipid metabolic process →+0.104+0.050<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,823 associations by consensus.

Regulation of generation of precursor metabolites and energy by OR51G2 expression — ESCA

Box plot of Regulation of generation of precursor metabolites and energy in OR51G2-low vs OR51G2-high samples in ESCA.

Explore this box plot interactively →

Exploration