NET1

Across TCGA cell cohorts, NET1 RNA expression is significantly associated with the go_rna of many other GO terms, with 5,163 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible NET1-associated GO terms across cancer lineages are Regulation of alternative mRNA splicing, via spliceosome, Positive regulation of nuclear-transcribed mRNA catabolic process, nonsense-mediated decay, and Mitotic sister chromatid segregation. Each is linked with NET1 in more than 9 cancer types. Because this analysis shows association rather than direction, both NET1-to-partner and partner-to-NET1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of alternative mRNA splicing, via spliceosome grouped by NET1-low versus NET1-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (NET1→partner) and Y-score (partner→NET1) 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	Regulation of alternative mRNA splicing, via spliceosome →	+0.107	+1.035	<.001	.001	2	10
SKIN	Positive regulation of nuclear-transcribed mRNA catabolic process, nonsense-mediated decay →	+0.092	+1.002	<.001	<.001	3	9
KIDNEY	Mitotic sister chromatid segregation →	+0.078	+1.151	.004	<.001	3	9
BLOOD_Lymphoma	mRNA 3'-end processing →	+0.057	+1.010	.007	.004	3	9
SOFT_TISSUE	Ganglioside metabolic process →	-0.122	-1.346	<.001	<.001	3	8
LUNG_SCLC	Positive regulation of mitochondrial ATP synthesis coupled electron transport →	+0.098	+0.830	<.001	<.001	3	8

Each partner links to its Q-omics profile. Showing the 6 strongest of 5,163 associations by consensus.

Regulation of alternative mRNA splicing, via spliceosome by NET1 expression — LUNG_SCLC

Explore this box plot interactively →