ATP6V1G1P6

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

Across TCGA patient cohorts, ATP6V1G1P6 RNA expression is significantly associated with the go_rna of many other GO terms, with 5,381 significant associations in total. STAD shows the largest number of these associations.

The most reproducible ATP6V1G1P6-associated GO terms across cancer lineages are Protein acylation, Regulation of peptidyl-lysine acetylation, and Organelle fusion. Each is linked with ATP6V1G1P6 in more than 11 cancer types. Because this analysis shows association rather than direction, both ATP6V1G1P6-to-partner and partner-to-ATP6V1G1P6 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Protein acylation grouped by ATP6V1G1P6-low versus ATP6V1G1P6-high in KIRP.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (ATP6V1G1P6→partner) and Y-score (partner→ATP6V1G1P6) 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
KIRPProtein acylation →+0.048+0.029<.001<.001312
UCECRegulation of peptidyl-lysine acetylation →+0.047+0.066<.001.005312
KIRPOrganelle fusion →+0.041+0.067<.001<.001312
STADNucleobase-containing compound transport →+0.051+0.165<.001<.001311
UCECPeptidyl-lysine acetylation →+0.048+0.073<.001.002212
LUSCPositive regulation of cell growth →+0.029+0.034<.001<.001311
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,381 associations by consensus.

Protein acylation by ATP6V1G1P6 expression — KIRP

Box plot of Protein acylation in ATP6V1G1P6-low vs ATP6V1G1P6-high samples in KIRP.

Explore this box plot interactively →

Exploration