ZNF382

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

Across TCGA cell cohorts, ZNF382 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,242 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible ZNF382-associated GO terms across cancer lineages are Epigenetic regulation of gene expression, Regulation of monoatomic ion transmembrane transport, and Regulation of monoatomic cation transmembrane transport. Each is linked with ZNF382 in more than 9 cancer types. Because this analysis shows association rather than direction, both ZNF382-to-partner and partner-to-ZNF382 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Epigenetic regulation of gene expression grouped by ZNF382-low versus ZNF382-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (ZNF382→partner) and Y-score (partner→ZNF382) 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_SCLCEpigenetic regulation of gene expression →+0.054+1.690.002<.001310
LUNG_SCLCRegulation of monoatomic ion transmembrane transport →-0.077-1.736<.001<.001310
LUNG_SCLCRegulation of monoatomic cation transmembrane transport →-0.080-1.886<.001<.00139
SOFT_TISSUETermination of RNA polymerase II transcription →+0.121+0.928<.001<.00139
BONEPositive regulation of DNA repair →+0.091+1.262<.001<.00139
LUNG_SCLCHeterochromatin formation →+0.072+1.794.001.00238
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,242 associations by consensus.

Epigenetic regulation of gene expression by ZNF382 expression — LUNG_SCLC

Box plot of Epigenetic regulation of gene expression in ZNF382-low vs ZNF382-high samples in LUNG_SCLC.

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