PLEKHG1

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

Across TCGA cell cohorts, PLEKHG1 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,272 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible PLEKHG1-associated GO terms across cancer lineages are Purine ribonucleoside metabolic process, Negative regulation of stem cell differentiation, and Protein transport within lipid bilayer. Each is linked with PLEKHG1 in more than 9 cancer types. Because this analysis shows association rather than direction, both PLEKHG1-to-partner and partner-to-PLEKHG1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Purine ribonucleoside metabolic process grouped by PLEKHG1-low versus PLEKHG1-high in STOMACH.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (PLEKHG1→partner) and Y-score (partner→PLEKHG1) 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
STOMACHPurine ribonucleoside metabolic process →-0.151-1.457<.001.001310
OVARYNegative regulation of stem cell differentiation →+0.175+1.963<.001<.00138
BLOOD_LymphomaProtein transport within lipid bilayer →+0.277+2.405.004<.00138
LIVERPositive regulation of myoblast differentiation →+0.142+2.137<.001<.00138
LUNG_NSCLC_LUSCCytotoxic T cell degranulation →+0.304+1.344.004.00938
URINARY_TRACTSerotonin secretion →+1.309+1.339.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,272 associations by consensus.

Purine ribonucleoside metabolic process by PLEKHG1 expression — STOMACH

Box plot of Purine ribonucleoside metabolic process in PLEKHG1-low vs PLEKHG1-high samples in STOMACH.

Explore this box plot interactively →

Exploration