RBM15

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

Across TCGA cell cohorts, RBM15 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,416 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible RBM15-associated GO terms across cancer lineages are Epigenetic regulation of gene expression, Subtelomeric heterochromatin formation, and Metaphase/anaphase transition of mitotic cell cycle. Each is linked with RBM15 in more than 16 cancer types. Because this analysis shows association rather than direction, both RBM15-to-partner and partner-to-RBM15 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Epigenetic regulation of gene expression grouped by RBM15-low versus RBM15-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RBM15→partner) and Y-score (partner→RBM15) 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_SCLCEpigenetic regulation of gene expression →+0.079+0.681<.001<.001317
BONESubtelomeric heterochromatin formation →+0.159+1.411<.001<.001317
BONEMetaphase/anaphase transition of mitotic cell cycle →+0.234+1.459<.001<.001317
BLOOD_LymphomaSex-chromosome dosage compensation →+0.113+1.196<.001<.001316
UPPER_AERODIGESTIVE_TRACTViral translational termination-reinitiation →+0.091+0.983<.001<.001316
OESOPHAGUSProtein modification by small protein removal →+0.056+0.628.002.006316
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,416 associations by consensus.

Epigenetic regulation of gene expression by RBM15 expression — LUNG_SCLC

Box plot of Epigenetic regulation of gene expression in RBM15-low vs RBM15-high samples in LUNG_SCLC.

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