ATP8B4

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

Across TCGA cell cohorts, ATP8B4 RNA expression is significantly associated with the go_rna of many other GO terms, with 3,831 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible ATP8B4-associated GO terms across cancer lineages are Actin filament fragmentation, Regulation of syncytium formation by plasma membrane fusion, and Negative regulation of ERBB signaling pathway. Each is linked with ATP8B4 in more than 6 cancer types. Because this analysis shows association rather than direction, both ATP8B4-to-partner and partner-to-ATP8B4 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Actin filament fragmentation grouped by ATP8B4-low versus ATP8B4-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (ATP8B4→partner) and Y-score (partner→ATP8B4) 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_TISSUEActin filament fragmentation →+0.087+1.043<.001.00436
STOMACHRegulation of syncytium formation by plasma membrane fusion →+0.113+0.260.001.00227
BLOOD_LymphomaNegative regulation of ERBB signaling pathway →+0.061+1.382<.001.00735
PANCREASNegative regulation of oxidative stress-induced intrinsic apoptotic signaling pathway →+0.091+0.160<.001<.00135
BLOOD_LymphomaRegulation of plasma membrane organization →+0.114+1.418<.001<.00135
BLOOD_LeukemiaExosomal secretion →+0.085+1.795<.001.00235
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,831 associations by consensus.

Actin filament fragmentation by ATP8B4 expression — SOFT_TISSUE

Box plot of Actin filament fragmentation in ATP8B4-low vs ATP8B4-high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration