Phosphatidylserine metabolic process

pathway activity — cross-omics
GO:0006658Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Phosphatidylserine metabolic process pathway is significantly associated with the RNA expression of multiple genes, with the KIDNEY cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are OXCT1, SCML2, and APOM, 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, OXCT1 grouped by Phosphatidylserine metabolic process-low versus -high activity in KIDNEY.

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
KIDNEYOXCT1 →-1.990-1.120<.001.00234
KIDNEYSCML2 →-1.295-1.189<.001<.00134
KIDNEYAPOM →+0.568+1.067.004.00125
UPPER_AERODIGESTIVE_TRACTTNXB →+0.740+1.590.003<.00134
LUNG_SCLCCASS4 →+0.106+0.849.006.00234
PANCREASDOCK7 →-0.797-0.907<.001.00324
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

OXCT1 by Phosphatidylserine metabolic process activity — KIDNEY

Box plot of OXCT1 in Phosphatidylserine metabolic process-low vs -high samples in KIDNEY.

Explore this box plot interactively →

Exploration