Regulation of peptidyl-serine phosphorylation

pathway activity — cross-omics
GO:0033135Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of peptidyl-serine phosphorylation pathway is significantly associated with the RNA expression of multiple genes, with the CNS cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are MILR1, MBNL3, and TNIP1, 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, MILR1 grouped by Regulation of peptidyl-serine phosphorylation-low versus -high activity in CNS.

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
CNSMILR1 →+1.119+0.714.002.00135
LUNG_NSCLC_LUADMBNL3 →+0.887+0.658<.001<.00135
SOFT_TISSUETNIP1 →+2.014+1.373.002<.00135
LUNG_NSCLC_LUSCSTAP2 →+2.723+1.092.001.00434
BLOOD_MyelomaFLYWCH1 →-1.520-1.389<.001.00134
CNSSYNGR3 →-1.001-0.908.003<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

MILR1 by Regulation of peptidyl-serine phosphorylation activity — CNS

Box plot of MILR1 in Regulation of peptidyl-serine phosphorylation-low vs -high samples in CNS.

Explore this box plot interactively →

Exploration