EID3

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

Across TCGA cell cohorts, EID3 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,732 significant associations in total. LUNG_NSCLC_LUAD shows the largest number of these associations.

The most reproducible EID3-associated GO terms across cancer lineages are Peptidyl-serine autophosphorylation, Negative regulation of post-translational protein modification, and Response to hepatocyte growth factor. Each is linked with EID3 in more than 9 cancer types. Because this analysis shows association rather than direction, both EID3-to-partner and partner-to-EID3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Peptidyl-serine autophosphorylation grouped by EID3-low versus EID3-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (EID3→partner) and Y-score (partner→EID3) 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_SCLCPeptidyl-serine autophosphorylation →+0.122+1.636.003.006110
URINARY_TRACTNegative regulation of post-translational protein modification →+0.052+1.055.001.00237
LIVERResponse to hepatocyte growth factor →+0.222+2.808<.001<.00137
LIVERResponse to L-phenylalanine derivative →+0.190+1.581.001.00137
LIVERCellular response to hepatocyte growth factor stimulus →+0.158+2.002<.001<.00137
LARGE_INTESTINEProtein localization to nucleus →+0.025+0.285.001.00137
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,732 associations by consensus.

Peptidyl-serine autophosphorylation by EID3 expression — LUNG_SCLC

Box plot of Peptidyl-serine autophosphorylation in EID3-low vs EID3-high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration