UPF1

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

Across TCGA cell cohorts, UPF1 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,432 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible UPF1-associated GO terms across cancer lineages are Regulation of cell fate commitment, Negative regulation of protein localization to chromatin, and Regulation of anaphase-promoting complex-dependent catabolic process. Each is linked with UPF1 in more than 16 cancer types. Because this analysis shows association rather than direction, both UPF1-to-partner and partner-to-UPF1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of cell fate commitment grouped by UPF1-low versus UPF1-high in STOMACH.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (UPF1→partner) and Y-score (partner→UPF1) 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
STOMACHRegulation of cell fate commitment →+0.180+1.215<.001<.001317
LUNG_NSCLC_LUSCNegative regulation of protein localization to chromatin →+0.193+0.725<.001<.001317
BONERegulation of anaphase-promoting complex-dependent catabolic process →+0.162+0.732<.001<.001317
BONEMitotic chromosome condensation →+0.142+0.561<.001.001317
BONETranscription pausing by RNA polymerase II →+0.191+0.864<.001<.001316
STOMACHRegulation of cell fate specification →+0.173+1.115<.001.001316
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,432 associations by consensus.

Regulation of cell fate commitment by UPF1 expression — STOMACH

Box plot of Regulation of cell fate commitment in UPF1-low vs UPF1-high samples in STOMACH.

Explore this box plot interactively →

Exploration