HUS1

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, HUS1 RNA expression is significantly associated with the go_rna of many other GO terms, with 3,460 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible HUS1-associated GO terms across cancer lineages are Meiotic cell cycle checkpoint signaling, Regulation of mitotic sister chromatid separation, and Mitotic nuclear division. Each is linked with HUS1 in more than 14 cancer types. Because this analysis shows association rather than direction, both HUS1-to-partner and partner-to-HUS1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Meiotic cell cycle checkpoint signaling grouped by HUS1-low versus HUS1-high in LUNG_NSCLC_LUSC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (HUS1→partner) and Y-score (partner→HUS1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUNG_NSCLC_LUSCMeiotic cell cycle checkpoint signaling →+0.232+1.012<.001<.001315
PANCREASRegulation of mitotic sister chromatid separation →+0.122+0.876.003.001310
PANCREASMitotic nuclear division →+0.071+0.716.004<.001310
OESOPHAGUSRegulation of mitotic spindle checkpoint →+0.108+0.830.001.001310
UPPER_AERODIGESTIVE_TRACTRegulation of mitotic metaphase/anaphase transition →+0.113+0.757.005.006211
PANCREASSpindle checkpoint signaling →+0.119+0.778.007.004211
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,460 associations by consensus.

Meiotic cell cycle checkpoint signaling by HUS1 expression — LUNG_NSCLC_LUSC

Box plot of Meiotic cell cycle checkpoint signaling in HUS1-low vs HUS1-high samples in LUNG_NSCLC_LUSC.

Explore this box plot interactively →

Exploration