H3C11

Across TCGA cell cohorts, H3C11 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,402 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible H3C11-associated GO terms across cancer lineages are Positive regulation of anaphase-promoting complex-dependent catabolic process, Establishment of spindle localization, and Regulation of anaphase-promoting complex-dependent catabolic process. Each is linked with H3C11 in more than 8 cancer types. Because this analysis shows association rather than direction, both H3C11-to-partner and partner-to-H3C11 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of anaphase-promoting complex-dependent catabolic process grouped by H3C11-low versus H3C11-high in BLOOD_Lymphoma.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (H3C11→partner) and Y-score (partner→H3C11) 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	Positive regulation of anaphase-promoting complex-dependent catabolic process →	+0.091	+0.587	.001	<.001	3	9
LUNG_NSCLC_LUSC	Establishment of spindle localization →	+0.087	+0.599	.004	<.001	2	7
UPPER_AERODIGESTIVE_TRACT	Regulation of anaphase-promoting complex-dependent catabolic process →	+0.086	+0.279	<.001	<.001	3	6
BLOOD_Lymphoma	RNA folding →	+0.072	+0.471	<.001	<.001	3	6
BLOOD_Leukemia	Centrosome separation →	+0.097	+0.498	<.001	.002	3	6
LUNG_SCLC	Cytokinesis →	+0.045	+0.411	.003	.002	3	6

Each partner links to its Q-omics profile. Showing the 6 strongest of 2,402 associations by consensus.

Positive regulation of anaphase-promoting complex-dependent catabolic process by H3C11 expression — BLOOD_Lymphoma

Explore this box plot interactively →