MRPS2

Across TCGA cell cohorts, MRPS2 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,636 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible MRPS2-associated GO terms across cancer lineages are rRNA metabolic process, Endonucleolytic cleavage in ITS1 to separate SSU-rRNA from 5.8S rRNA and LSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA), and rRNA modification. Each is linked with MRPS2 in more than 16 cancer types. Because this analysis shows association rather than direction, both MRPS2-to-partner and partner-to-MRPS2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, rRNA metabolic process grouped by MRPS2-low versus MRPS2-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (MRPS2→partner) and Y-score (partner→MRPS2) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner GO term	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LUNG_SCLC	rRNA metabolic process →	+0.138	+0.945	<.001	<.001	3	17
LARGE_INTESTINE	Endonucleolytic cleavage in ITS1 to separate SSU-rRNA from 5.8S rRNA and LSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) →	+0.117	+0.708	<.001	<.001	3	17
LUNG_SCLC	rRNA modification →	+0.131	+0.976	<.001	<.001	3	17
BONE	Ribosome biogenesis →	+0.165	+1.232	<.001	<.001	3	16
BONE	Cleavage in ITS2 between 5.8S rRNA and LSU-rRNA of tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) →	+0.161	+0.781	<.001	<.001	3	16
URINARY_TRACT	Endonucleolytic cleavage of tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) →	+0.110	+0.932	<.001	<.001	3	16

Each partner links to its Q-omics profile. Showing the 6 strongest of 4,636 associations by consensus.

rRNA metabolic process by MRPS2 expression — LUNG_SCLC

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