CLASRP

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

Across TCGA cell cohorts, CLASRP RNA expression is significantly associated with the go_rna of many other GO terms, with 4,324 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible CLASRP-associated GO terms across cancer lineages are Regulation of mRNA splicing, via spliceosome, mRNA splice site recognition, and Subtelomeric heterochromatin formation. Each is linked with CLASRP in more than 17 cancer types. Because this analysis shows association rather than direction, both CLASRP-to-partner and partner-to-CLASRP results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of mRNA splicing, via spliceosome grouped by CLASRP-low versus CLASRP-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (CLASRP→partner) and Y-score (partner→CLASRP) 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_TISSUERegulation of mRNA splicing, via spliceosome →+0.113+0.919<.001<.001318
UPPER_AERODIGESTIVE_TRACTmRNA splice site recognition →+0.154+0.876.001.001317
SOFT_TISSUESubtelomeric heterochromatin formation →+0.117+0.848<.001<.001317
BONELate viral transcription →+0.124+0.972<.001<.001317
LUNG_SCLCCo-transcriptional RNA 3'-end processing, cleavage and polyadenylation pathway →+0.132+0.765<.001<.001316
LUNG_SCLCRegulation of RNA splicing →+0.080+0.722<.001<.001316
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,324 associations by consensus.

Regulation of mRNA splicing, via spliceosome by CLASRP expression — SOFT_TISSUE

Box plot of Regulation of mRNA splicing, via spliceosome in CLASRP-low vs CLASRP-high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration