SEMA5B

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

Across TCGA cell cohorts, SEMA5B RNA expression is significantly associated with the go_rna of many other GO terms, with 2,627 significant associations in total. BONE shows the largest number of these associations.

The most reproducible SEMA5B-associated GO terms across cancer lineages are Negative regulation of syncytium formation by plasma membrane fusion, Negative regulation of myoblast fusion, and Hippocampus development. Each is linked with SEMA5B in more than 8 cancer types. Because this analysis shows association rather than direction, both SEMA5B-to-partner and partner-to-SEMA5B results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of syncytium formation by plasma membrane fusion grouped by SEMA5B-low versus SEMA5B-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (SEMA5B→partner) and Y-score (partner→SEMA5B) 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_SCLCNegative regulation of syncytium formation by plasma membrane fusion →+0.073+1.280.008.00629
LUNG_SCLCNegative regulation of myoblast fusion →+0.072+1.327.009.00428
LUNG_SCLCHippocampus development →+0.069+1.441<.001.00137
OVARYRegulation of protein folding →+0.090+1.120.002.00936
LUNG_SCLCRNA export from nucleus →+0.098+1.621<.001<.00136
BONEC-terminal protein lipidation →-0.231-3.398<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,627 associations by consensus.

Negative regulation of syncytium formation by plasma membrane fusion by SEMA5B expression — LUNG_SCLC

Box plot of Negative regulation of syncytium formation by plasma membrane fusion in SEMA5B-low vs SEMA5B-high samples in LUNG_SCLC.

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