Regulation of response to wounding

pathway activity — cross-omics
GO:1903034Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of response to wounding pathway is significantly associated with the RNA expression of multiple genes, with the SOFT_TISSUE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are DNAJC10, PLEKHN1, and PRELID3B, each associated with the pathway in up to 4 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, DNAJC10 grouped by Regulation of response to wounding-low versus -high activity in SOFT_TISSUE.

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
SOFT_TISSUEDNAJC10 →-1.081-1.073.003.00234
SOFT_TISSUEPLEKHN1 →-1.532-0.921<.001.00834
KIDNEYPRELID3B →+0.633+0.858.006.00133
KIDNEYSDCBP →+1.030+0.886.001<.00133
KIDNEYFMC1 →+0.904+0.949.001.00433
SKINSPRY2 →-0.822-0.783.009.00633
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

DNAJC10 by Regulation of response to wounding activity — SOFT_TISSUE

Box plot of DNAJC10 in Regulation of response to wounding-low vs -high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration