Regulation of respiratory gaseous exchange by nervous system process

pathway activity — cross-omics
GO:0002087Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of respiratory gaseous exchange by nervous system process pathway is significantly associated with the RNA expression of multiple genes, with the SKIN cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are NR3C1, PEX2, and NET1, 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, NR3C1 grouped by Regulation of respiratory gaseous exchange by nervous system process-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
SKINNR3C1 →+0.839+1.288.003<.00133
SKINPEX2 →+0.803+1.015.004.00133
SOFT_TISSUENET1 →+1.702+1.257.003.00733
SKINRGMB →+0.665+0.824.003.00233
SKINSRC →+1.233+1.338<.001<.00133
SKINLGR4 →+0.914+1.052.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

NR3C1 by Regulation of respiratory gaseous exchange by nervous system process activity — SKIN

Box plot of NR3C1 in Regulation of respiratory gaseous exchange by nervous system process-low vs -high samples in SKIN.

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Exploration