Regulation of hepatic stellate cell activation

pathway activity — cross-omics
GO:2000489Cross-omicsPROTEIN-MS → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of hepatic stellate cell activation pathway is significantly associated with the shRNA dependency of multiple genes, with the SKIN cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are RAB3D, MGAT1, and MAP3K21, each associated with the pathway in up to 2 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The box plot shows the strongest association, RAB3D grouped by Regulation of hepatic stellate cell activation-low versus -high activity in SKIN.

Pathway-associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
SKINRAB3D →-0.113-1.826<.001<.00132
SKINMGAT1 →-0.175-1.779.004.00432
SKINMAP3K21 →+0.147+1.630.005.00632
SKINLAMA2 →-0.236-2.167.006<.00132
SKINSMARCC1 →+0.274+1.993.001<.00132
SKINSEC14L3 →-0.306-2.209.005<.00131
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

RAB3D by Regulation of hepatic stellate cell activation activity — SKIN

Box plot of RAB3D in Regulation of hepatic stellate cell activation-low vs -high samples in SKIN.

Explore this box plot interactively →

Exploration