RNF6

Across TCGA cell cohorts, RNF6 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,667 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible RNF6-associated GO terms across cancer lineages are Negative regulation of hematopoietic stem cell differentiation, Intra-Golgi vesicle-mediated transport, and Double-strand break repair via classical nonhomologous end joining. Each is linked with RNF6 in more than 12 cancer types. Because this analysis shows association rather than direction, both RNF6-to-partner and partner-to-RNF6 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of hematopoietic stem cell differentiation grouped by RNF6-low versus RNF6-high in UPPER_AERODIGESTIVE_TRACT.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNF6→partner) and Y-score (partner→RNF6) 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
UPPER_AERODIGESTIVE_TRACT	Negative regulation of hematopoietic stem cell differentiation →	+0.169	+1.015	<.001	.001	3	12
LUNG_NSCLC_LUSC	Intra-Golgi vesicle-mediated transport →	+0.089	+0.905	.001	<.001	3	12
STOMACH	Double-strand break repair via classical nonhomologous end joining →	+0.069	+0.563	.003	.002	2	13
BLOOD_Lymphoma	Protein polyufmylation →	+0.096	+0.752	<.001	<.001	3	11
BLOOD_Lymphoma	Protein K69-linked ufmylation →	+0.096	+0.752	<.001	<.001	3	11
LIVER	Nucleotide-excision repair, DNA gap filling →	+0.096	+0.562	<.001	.005	3	11

Each partner links to its Q-omics profile. Showing the 6 strongest of 2,667 associations by consensus.

Negative regulation of hematopoietic stem cell differentiation by RNF6 expression — UPPER_AERODIGESTIVE_TRACT

Explore this box plot interactively →