SEC61G

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

Across TCGA cell cohorts, SEC61G RNA expression is significantly associated with the go_rna of many other GO terms, with 3,463 significant associations in total. CNS shows the largest number of these associations.

The most reproducible SEC61G-associated GO terms across cancer lineages are Peptidyl-glutamic acid carboxylation, Protein carboxylation, and Positive regulation of protein exit from endoplasmic reticulum. Each is linked with SEC61G in more than 9 cancer types. Because this analysis shows association rather than direction, both SEC61G-to-partner and partner-to-SEC61G results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Peptidyl-glutamic acid carboxylation grouped by SEC61G-low versus SEC61G-high in URINARY_TRACT.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (SEC61G→partner) and Y-score (partner→SEC61G) 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
URINARY_TRACTPeptidyl-glutamic acid carboxylation →+0.102+0.860.003.001310
URINARY_TRACTProtein carboxylation →+0.102+0.860.003.001310
LIVERPositive regulation of protein exit from endoplasmic reticulum →+0.156+0.672<.001.00439
BONEProtein localization to early endosome →+0.231+0.758<.001<.00139
SKINCellular response to nitrogen levels →+0.128+0.747<.001.00238
SOFT_TISSUEEndoplasmic reticulum to Golgi vesicle-mediated transport →+0.074+0.739<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,463 associations by consensus.

Peptidyl-glutamic acid carboxylation by SEC61G expression — URINARY_TRACT

Box plot of Peptidyl-glutamic acid carboxylation in SEC61G-low vs SEC61G-high samples in URINARY_TRACT.

Explore this box plot interactively →

Exploration