MAGI1

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

Across TCGA cell cohorts, MAGI1 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,598 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible MAGI1-associated GO terms across cancer lineages are Heterochromatin formation, Negative regulation of gene expression, epigenetic, and Regulation of double-strand break repair via homologous recombination. Each is linked with MAGI1 in more than 11 cancer types. Because this analysis shows association rather than direction, both MAGI1-to-partner and partner-to-MAGI1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Heterochromatin formation grouped by MAGI1-low versus MAGI1-high in BONE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (MAGI1→partner) and Y-score (partner→MAGI1) 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
BONEHeterochromatin formation →+0.097+1.295<.001<.001312
BONENegative regulation of gene expression, epigenetic →+0.096+1.170.001.001312
BONERegulation of double-strand break repair via homologous recombination →+0.141+1.315<.001<.001311
LARGE_INTESTINERegulation of intracellular steroid hormone receptor signaling pathway →+0.082+1.203<.001<.001311
SOFT_TISSUERegulation of RNA stability →+0.072+1.234<.001.001311
BONEPositive regulation of DNA recombination →+0.144+1.371<.001<.001311
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,598 associations by consensus.

Heterochromatin formation by MAGI1 expression — BONE

Box plot of Heterochromatin formation in MAGI1-low vs MAGI1-high samples in BONE.

Explore this box plot interactively →

Exploration