RXFP3

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

Across TCGA cell cohorts, RXFP3 RNA expression is significantly associated with the go_rna of many other GO terms, with 756 significant associations in total. LUNG_SCLC shows the largest number of these associations.

The most reproducible RXFP3-associated GO terms across cancer lineages are Positive regulation of protein localization to mitochondrion, Negative regulation of binding, and Biological process involved in interaction with host. Each is linked with RXFP3 in more than 3 cancer types. Because this analysis shows association rather than direction, both RXFP3-to-partner and partner-to-RXFP3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of protein localization to mitochondrion grouped by RXFP3-low versus RXFP3-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RXFP3→partner) and Y-score (partner→RXFP3) 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_TISSUEPositive regulation of protein localization to mitochondrion →+0.097+0.027<.001.00334
LUNG_SCLCNegative regulation of binding →+0.156+1.256<.001.00433
SOFT_TISSUEBiological process involved in interaction with host →+0.093+0.047<.001.00533
SOFT_TISSUEApoptotic signaling pathway →+0.066+0.027<.001.00333
SOFT_TISSUEModification of synaptic structure →+0.112+0.026<.001.00533
SOFT_TISSUEEndocytic recycling →+0.056+0.026<.001.00533
Each partner links to its Q-omics profile. Showing the 6 strongest of 756 associations by consensus.

Positive regulation of protein localization to mitochondrion by RXFP3 expression — SOFT_TISSUE

Box plot of Positive regulation of protein localization to mitochondrion in RXFP3-low vs RXFP3-high samples in SOFT_TISSUE.

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