ACSL3

Across TCGA cell cohorts, ACSL3 RNA expression is significantly associated with the go_rna of many other GO terms, with 3,948 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible ACSL3-associated GO terms across cancer lineages are Regulation of phosphatidylcholine biosynthetic process, Positive regulation of phosphatidylcholine biosynthetic process, and Phospholipid biosynthetic process. Each is linked with ACSL3 in more than 11 cancer types. Because this analysis shows association rather than direction, both ACSL3-to-partner and partner-to-ACSL3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of phosphatidylcholine biosynthetic process grouped by ACSL3-low versus ACSL3-high in BLOOD_Leukemia.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (ACSL3→partner) and Y-score (partner→ACSL3) 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_Leukemia	Regulation of phosphatidylcholine biosynthetic process →	+0.204	+0.716	<.001	<.001	3	12
BLOOD_Leukemia	Positive regulation of phosphatidylcholine biosynthetic process →	+0.204	+0.716	<.001	<.001	3	12
UPPER_AERODIGESTIVE_TRACT	Phospholipid biosynthetic process →	+0.038	+0.699	<.001	.003	3	10
LARGE_INTESTINE	Positive regulation of Golgi to plasma membrane protein transport →	+0.108	+0.654	.001	.001	3	10
SOFT_TISSUE	Regulation of sterol biosynthetic process →	+0.092	+0.822	.001	.002	3	9
SOFT_TISSUE	Regulation of cholesterol biosynthetic process →	+0.092	+0.822	.001	.002	3	9

Each partner links to its Q-omics profile. Showing the 6 strongest of 3,948 associations by consensus.

Regulation of phosphatidylcholine biosynthetic process by ACSL3 expression — BLOOD_Leukemia

Explore this box plot interactively →