Negative regulation of glycolytic process

pathway activity — cross-omics
GO:0045820Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of glycolytic 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 TAF4B, RPUSD4, and THAP9, each associated with the pathway in up to 6 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, Negative regulation of glycolytic process activity versus TAF4B in BLOOD_Lymphoma (Pearson r = 0.49).

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_LymphomaTAF4B →+1.373+0.912.001.00835
PANCREASRPUSD4 →+0.734+1.044.001.00926
LARGE_INTESTINETHAP9 →+0.633+0.774.001.00635
LUNG_SCLCPPARGC1B →+0.822+0.505.005.00635
BLOOD_LymphomaCYFIP2 →+1.947+1.035.004.00625
BLOOD_LymphomaWDR76 →+1.329+1.082.006.00534
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045820 vs TAF4B — BLOOD_Lymphoma

Per-sample scatter of Negative regulation of glycolytic process activity vs TAF4B in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration