Negative regulation of response to wounding

pathway activity — cross-omics
GO:1903035Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of response to wounding pathway is significantly associated with the shRNA dependency of multiple genes, with the BONE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are STRN4, TLR5, and PKN3, each associated with the pathway in up to 5 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, STRN4 grouped by Negative regulation of response to wounding-low versus -high activity in BONE.

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
BONESTRN4 →-0.656-0.164.001.00335
LUNG_SCLCTLR5 →+0.261+0.106<.001<.00135
CNSPKN3 →-0.241-0.073<.001.00735
LIVERITLN2 →+0.403+0.118.001<.00134
OESOPHAGUSPDE4DIPP2 →+0.366+0.076<.001.00134
LUNG_NSCLC_LUADUCK1 →-0.122-0.067<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

STRN4 by Negative regulation of response to wounding activity — BONE

Box plot of STRN4 in Negative regulation of response to wounding-low vs -high samples in BONE.

Explore this box plot interactively →

Exploration