MGAT4C

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

Across TCGA cell cohorts, MGAT4C RNA expression is significantly associated with the go_rna of many other GO terms, with 530 significant associations in total. LUNG_SCLC shows the largest number of these associations.

The most reproducible MGAT4C-associated GO terms across cancer lineages are Branching morphogenesis of an epithelial tube, Protein import into peroxisome matrix, substrate release, and Cell-cell junction assembly. Each is linked with MGAT4C in more than 3 cancer types. Because this analysis shows association rather than direction, both MGAT4C-to-partner and partner-to-MGAT4C results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Branching morphogenesis of an epithelial tube grouped by MGAT4C-low versus MGAT4C-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (MGAT4C→partner) and Y-score (partner→MGAT4C) 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
LUNG_SCLCBranching morphogenesis of an epithelial tube →-0.045-1.355.003.00134
BONEProtein import into peroxisome matrix, substrate release →+0.126+2.299<.001<.00133
BONECell-cell junction assembly →-0.068-1.672.001.00233
SKINSodium-independent organic anion transport →-1.107-0.248<.001<.00133
UPPER_AERODIGESTIVE_TRACTRNA polymerase I preinitiation complex assembly →+0.083+0.078<.001.00133
CNSTelomerase holoenzyme complex assembly →+0.031+0.104.002.00723
Each partner links to its Q-omics profile. Showing the 6 strongest of 530 associations by consensus.

Branching morphogenesis of an epithelial tube by MGAT4C expression — LUNG_SCLC

Box plot of Branching morphogenesis of an epithelial tube in MGAT4C-low vs MGAT4C-high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration