GPATCH4

Across TCGA cell cohorts, GPATCH4 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,678 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible GPATCH4-associated GO terms across cancer lineages are Maturation of SSU-rRNA, Ribosome biogenesis, and Ribosomal large subunit biogenesis. Each is linked with GPATCH4 in more than 18 cancer types. Because this analysis shows association rather than direction, both GPATCH4-to-partner and partner-to-GPATCH4 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Maturation of SSU-rRNA grouped by GPATCH4-low versus GPATCH4-high in BLOOD_Lymphoma.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (GPATCH4→partner) and Y-score (partner→GPATCH4) 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
BLOOD_Lymphoma	Maturation of SSU-rRNA →	+0.130	+1.365	<.001	<.001	3	19
BONE	Ribosome biogenesis →	+0.126	+0.965	.001	.002	3	18
OESOPHAGUS	Ribosomal large subunit biogenesis →	+0.143	+1.091	<.001	.006	2	19
OESOPHAGUS	Ribosomal small subunit biogenesis →	+0.134	+1.077	<.001	.007	3	18
BONE	Maturation of 5.8S rRNA →	+0.158	+1.010	<.001	.001	3	18
OESOPHAGUS	Maturation of SSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) →	+0.153	+1.252	.001	<.001	3	18

Each partner links to its Q-omics profile. Showing the 6 strongest of 4,678 associations by consensus.

Maturation of SSU-rRNA by GPATCH4 expression — BLOOD_Lymphoma

Explore this box plot interactively →