Positive regulation of nucleotide biosynthetic process

pathway activity — cross-omics
GO:0030810Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of nucleotide biosynthetic process pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Lymphoma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are STAT3, MAP2K1, and TUFT1, each associated with the pathway in up to 18 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 scatter plot shows the strongest association, Positive regulation of nucleotide biosynthetic process activity versus STAT3 in BLOOD_Lymphoma (Pearson r = 0.54).

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_LymphomaSTAT3 →+1.190+0.109<.001<.001318
BONEMAP2K1 →+1.087+0.203<.001<.001315
KIDNEYTUFT1 →+1.487+0.098<.001<.001314
BONEEXT2 →+1.645+0.208<.001<.001313
LIVERPML →+1.361+0.156<.001.006313
LIVERGINM1 →+1.821+0.246<.001<.001313
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0030810 vs STAT3 — BLOOD_Lymphoma

Per-sample scatter of Positive regulation of nucleotide biosynthetic process activity vs STAT3 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration