Negative regulation of cytoplasmic translation

pathway activity — cross-omics
GO:2000766Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of cytoplasmic translation 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 EIF2AK2, USP41, and BARD1, 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 scatter plot shows the strongest association, Negative regulation of cytoplasmic translation activity versus EIF2AK2 in BLOOD_Lymphoma (Pearson r = 0.77).

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_LymphomaEIF2AK2 →+2.121+1.446<.001<.00135
BLOOD_LymphomaUSP41 →+2.765+1.030.007.00234
BONEBARD1 →+1.143+1.594<.001<.00134
BLOOD_LeukemiaTBC1D32 →+0.840+0.858.002<.00134
BLOOD_LymphomaTRIM56 →+0.632+0.826.003.00634
BLOOD_LeukemiaDPYD →+1.223+0.567.008.00525
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000766 vs EIF2AK2 — BLOOD_Lymphoma

Per-sample scatter of Negative regulation of cytoplasmic translation activity vs EIF2AK2 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration