Regulation of fat cell differentiation

pathway activity — cross-omics
GO:0045598Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of fat cell differentiation pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Myeloma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are VPS29, KIAA0040, and SLC19A2, 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, VPS29 grouped by Regulation of fat cell differentiation-low versus -high activity in BLOOD_Myeloma.

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
BLOOD_MyelomaVPS29 →-0.958-0.267.001.00135
UPPER_AERODIGESTIVE_TRACTKIAA0040 →-1.486-0.185<.001<.00134
LIVERSLC19A2 →-1.184-0.272<.001<.00134
BREASTPLEKHM2 →+0.937+0.185<.001<.00134
PANCREASIQCD →-0.934-0.168.001<.00134
KIDNEYPRDX6 →+0.851+0.361.003<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

VPS29 by Regulation of fat cell differentiation activity — BLOOD_Myeloma

Box plot of VPS29 in Regulation of fat cell differentiation-low vs -high samples in BLOOD_Myeloma.

Explore this box plot interactively →

Exploration