ZNF683

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

Across TCGA cell cohorts, ZNF683 RNA expression is significantly associated with the go_rna of many other GO terms, with 249 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible ZNF683-associated GO terms across cancer lineages are Regulation of cell fate commitment, Negative regulation of MAP kinase activity, and Negative regulation of smooth muscle cell chemotaxis. Each is linked with ZNF683 in more than 2 cancer types. Because this analysis shows association rather than direction, both ZNF683-to-partner and partner-to-ZNF683 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 ZNF683-low versus ZNF683-high in BLOOD_Leukemia.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (ZNF683→partner) and Y-score (partner→ZNF683) 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
BLOOD_LeukemiaRegulation of cell fate commitment →+0.064+0.829.002.00733
BLOOD_LeukemiaNegative regulation of MAP kinase activity →+0.059+0.866<.001.00433
CNSNegative regulation of smooth muscle cell chemotaxis →+0.107+0.020.002.00333
LUNG_NSCLC_LUADPositive regulation of amyloid precursor protein catabolic process →-0.075-0.008.001.00432
BLOOD_LeukemiaPositive regulation of neutrophil migration →-0.084-0.627<.001.00432
BLOOD_LeukemiaU2-type prespliceosome assembly →+0.033+0.572.009.00932
Each partner links to its Q-omics profile. Showing the 6 strongest of 249 associations by consensus.

Regulation of cell fate commitment by ZNF683 expression — BLOOD_Leukemia

Box plot of Regulation of cell fate commitment in ZNF683-low vs ZNF683-high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration