TMEM31

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

Across TCGA cell cohorts, TMEM31 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,255 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible TMEM31-associated GO terms across cancer lineages are Negative regulation of myoblast fusion, Regulation of myoblast fusion, and Negative regulation of syncytium formation by plasma membrane fusion. Each is linked with TMEM31 in more than 10 cancer types. Because this analysis shows association rather than direction, both TMEM31-to-partner and partner-to-TMEM31 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of myoblast fusion grouped by TMEM31-low versus TMEM31-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (TMEM31→partner) and Y-score (partner→TMEM31) 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
SOFT_TISSUENegative regulation of myoblast fusion →+0.085+0.250<.001<.001311
OVARYRegulation of myoblast fusion →+0.079+0.213<.001<.001310
SOFT_TISSUENegative regulation of syncytium formation by plasma membrane fusion →+0.084+0.232<.001<.00139
OVARYRegulation of syncytium formation by plasma membrane fusion →+0.076+0.194<.001.00139
BREASTATP biosynthetic process →+0.077+0.354.001.00238
LUNG_SCLCRegulation of G1/S transition of mitotic cell cycle →+0.082+0.588<.001.00329
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,255 associations by consensus.

Negative regulation of myoblast fusion by TMEM31 expression — SOFT_TISSUE

Box plot of Negative regulation of myoblast fusion in TMEM31-low vs TMEM31-high samples in SOFT_TISSUE.

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