Regulation of attachment of spindle microtubules to kinetochore

pathway activity — cross-omics
GO:0051988Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of attachment of spindle microtubules to kinetochore pathway is significantly associated with the RNA expression of multiple genes, with the BONE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are NSUN7, SPATA32, and NOP56, each associated with the pathway in up to 5 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The box plot shows the strongest association, NSUN7 grouped by Regulation of attachment of spindle microtubules to kinetochore-low versus -high activity in BONE.

Pathway-associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BONENSUN7 →+2.045+0.253.001.00335
BONESPATA32 →+0.127+0.182.003.00535
STOMACHNOP56 →-0.886-0.220.001.00135
CNSTPM2 →-2.103-0.110.001.00334
BONECCDC183 →+0.919+0.173.002.00934
OVARYALDOA →-0.798-0.180.001.00234
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

NSUN7 by Regulation of attachment of spindle microtubules to kinetochore activity — BONE

Box plot of NSUN7 in Regulation of attachment of spindle microtubules to kinetochore-low vs -high samples in BONE.

Explore this box plot interactively →

Exploration