MECP2

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

Across TCGA cell cohorts, MECP2 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,333 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible MECP2-associated GO terms across cancer lineages are Positive regulation of microtubule nucleation, Regulation of microtubule nucleation, and Phosphatidylinositol biosynthetic process. Each is linked with MECP2 in more than 18 cancer types. Because this analysis shows association rather than direction, both MECP2-to-partner and partner-to-MECP2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of microtubule nucleation grouped by MECP2-low versus MECP2-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (MECP2→partner) and Y-score (partner→MECP2) 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_SCLCPositive regulation of microtubule nucleation →+0.158+0.956<.001<.001319
BONERegulation of microtubule nucleation →+0.105+1.018.004.001314
CNSPhosphatidylinositol biosynthetic process →+0.058+0.717<.001<.001314
LIVERAxo-dendritic protein transport →+0.218+0.793<.001<.001314
BONEPositive regulation of microtubule polymerization or depolymerization →+0.100+0.899<.001<.001314
OESOPHAGUSRegulation of translation at synapse, modulating synaptic transmission →+0.146+0.853.006.007214
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,333 associations by consensus.

Positive regulation of microtubule nucleation by MECP2 expression — LUNG_SCLC

Box plot of Positive regulation of microtubule nucleation in MECP2-low vs MECP2-high samples in LUNG_SCLC.

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Exploration