Regulation of myoblast differentiation

pathway activity — cross-omics
GO:0045661Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of myoblast differentiation pathway is significantly associated with the shRNA dependency 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 RND3, CCL25, and PHB, 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, RND3 grouped by Regulation of myoblast differentiation-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_TISSUERND3 →-0.300-0.093.008.00525
OVARYCCL25 →-0.231-0.054.006.00134
OVARYPHB →+0.234+0.036<.001.00625
OVARYSCN9A →-0.213-0.048.005<.00125
UPPER_AERODIGESTIVE_TRACTTBC1D13 →+0.134+0.095.001.00434
SOFT_TISSUEABCC8 →-0.170-0.083.004<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

RND3 by Regulation of myoblast differentiation activity — SOFT_TISSUE

Box plot of RND3 in Regulation of myoblast differentiation-low vs -high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration