SEMA3F

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

Across TCGA cell cohorts, SEMA3F RNA expression is significantly associated with the go_rna of many other GO terms, with 3,511 significant associations in total. BREAST shows the largest number of these associations.

The most reproducible SEMA3F-associated GO terms across cancer lineages are Negative regulation of mRNA catabolic process, Regulation of nucleotide-excision repair, and Protein destabilization. Each is linked with SEMA3F in more than 10 cancer types. Because this analysis shows association rather than direction, both SEMA3F-to-partner and partner-to-SEMA3F results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of mRNA catabolic process grouped by SEMA3F-low versus SEMA3F-high in OVARY.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (SEMA3F→partner) and Y-score (partner→SEMA3F) 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
OVARYNegative regulation of mRNA catabolic process →+0.075+2.263<.001<.001311
STOMACHRegulation of nucleotide-excision repair →+0.121+1.915.001.00139
UPPER_AERODIGESTIVE_TRACTProtein destabilization →+0.096+1.184.001.00938
OESOPHAGUSRegulation of myoblast fusion →+0.089+1.482.002.00138
OESOPHAGUSNegative regulation of myoblast fusion →+0.105+1.527.002.00138
KIDNEYNegative regulation of mRNA splicing, via spliceosome →+0.065+1.250.003.00938
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,511 associations by consensus.

Negative regulation of mRNA catabolic process by SEMA3F expression — OVARY

Box plot of Negative regulation of mRNA catabolic process in SEMA3F-low vs SEMA3F-high samples in OVARY.

Explore this box plot interactively →

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