Positive regulation of cell fate commitment

pathway activity — cross-omics
GO:0010455Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of cell fate commitment 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 MAP6D1, HSPB1, and PSME1, 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, MAP6D1 grouped by Positive regulation of cell fate commitment-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_MyelomaMAP6D1 →+0.502+0.347.001.00134
LARGE_INTESTINEHSPB1 →-1.686-0.416<.001.00834
OESOPHAGUSPSME1 →-0.973-0.269.001.00334
LIVERGPX7 →-2.366-0.537<.001<.00134
LUNG_NSCLC_LUADDNAH5 →-0.726-0.715.001.00234
BONELAMA1 →+2.540+0.313.007.00733
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

MAP6D1 by Positive regulation of cell fate commitment activity — BLOOD_Myeloma

Box plot of MAP6D1 in Positive regulation of cell fate commitment-low vs -high samples in BLOOD_Myeloma.

Explore this box plot interactively →

Exploration