Regulation of mRNA processing

pathway activity — cross-omics
GO:0050684Cross-omicsSHRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of mRNA processing pathway is significantly associated with the shRNA dependency of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PLAAT4, RAB21, and TAS2R7, each associated with the pathway in up to 8 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, PLAAT4 grouped by Regulation of mRNA processing-low versus -high activity in BLOOD_Leukemia.

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_LeukemiaPLAAT4 →+0.299+0.122.004.00628
OVARYRAB21 →+0.285+0.173.003.00837
OVARYTAS2R7 →+0.438+0.208<.001.00137
OVARYDYNC2H1 →+0.482+0.248<.001<.00137
CNSUSP40 →+0.430+0.176.001<.00137
CNSOR2H1 →+0.407+0.141.002.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PLAAT4 by Regulation of mRNA processing activity — BLOOD_Leukemia

Box plot of PLAAT4 in Regulation of mRNA processing-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration