ACSBG2

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

Across TCGA cell cohorts, ACSBG2 RNA expression is significantly associated with the go_rna of many other GO terms, with 3,115 significant associations in total. SOFT_TISSUE shows the largest number of these associations.

The most reproducible ACSBG2-associated GO terms across cancer lineages are Regulation of chromosome organization, Negative regulation of gene expression, epigenetic, and Cell cycle checkpoint signaling. Each is linked with ACSBG2 in more than 14 cancer types. Because this analysis shows association rather than direction, both ACSBG2-to-partner and partner-to-ACSBG2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of chromosome organization grouped by ACSBG2-low versus ACSBG2-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (ACSBG2→partner) and Y-score (partner→ACSBG2) 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
SOFT_TISSUERegulation of chromosome organization →+0.087+0.266<.001.002314
STOMACHNegative regulation of gene expression, epigenetic →+0.056+0.163.001.006215
SOFT_TISSUECell cycle checkpoint signaling →+0.089+0.286<.001<.001313
LUNG_SCLCRegulation of centrosome duplication →+0.091+0.220.001.002313
LUNG_SCLCPost-transcriptional gene silencing →+0.099+0.257<.001.003313
SOFT_TISSUERegulation of transcription of nucleolar large rRNA by RNA polymerase I →+0.132+0.306<.001<.001313
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,115 associations by consensus.

Regulation of chromosome organization by ACSBG2 expression — SOFT_TISSUE

Box plot of Regulation of chromosome organization in ACSBG2-low vs ACSBG2-high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration