Meiotic telomere clustering

pathway activity — cross-omics
GO:0045141Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Meiotic telomere clustering pathway is significantly associated with the RNA expression of multiple genes, with the UCEC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SYT16, SNORD105B, and ZNF526, each associated with the pathway in up to 3 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 scatter plot shows the strongest association, Meiotic telomere clustering activity versus SYT16 in UCEC (Pearson r = 0.47).

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
UCECSYT16 →+0.463+0.616.005.00233
UCECSNORD105B →+0.995+0.569<.001.00633
BRCAZNF526 →+0.221+0.467.008.00433
BRCAMAL →+0.483+0.760<.001<.00133
PDACRN7SKP124 →-0.273-0.379.002.00833
HNSCSERINC5 →-0.622-0.429.001.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045141 vs SYT16 — UCEC

Per-sample scatter of Meiotic telomere clustering activity vs SYT16 in UCEC.

Explore this scatter interactively →

Exploration