EIF1

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, EIF1 RNA expression is significantly associated with the go_rna of many other GO terms, with 3,245 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible EIF1-associated GO terms across cancer lineages are PERK-mediated unfolded protein response, Regulation of determination of dorsal identity, and Leading strand elongation. Each is linked with EIF1 in more than 10 cancer types. Because this analysis shows association rather than direction, both EIF1-to-partner and partner-to-EIF1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, PERK-mediated unfolded protein response grouped by EIF1-low versus EIF1-high in BLOOD_Myeloma.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF1→partner) and Y-score (partner→EIF1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_MyelomaPERK-mediated unfolded protein response →+0.189+0.893<.001<.001311
BONERegulation of determination of dorsal identity →+0.315+0.753<.001.003310
PANCREASLeading strand elongation →-0.156-0.656.001.004310
BLOOD_MyelomaIntrinsic apoptotic signaling pathway in response to endoplasmic reticulum stress →+0.136+0.827.003.00139
BLOOD_MyelomaNegative regulation of translation in response to endoplasmic reticulum stress →+0.148+0.728<.001.00329
OVARYPositive regulation of response to endoplasmic reticulum stress →+0.087+0.872<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,245 associations by consensus.

PERK-mediated unfolded protein response by EIF1 expression — BLOOD_Myeloma

Box plot of PERK-mediated unfolded protein response in EIF1-low vs EIF1-high samples in BLOOD_Myeloma.

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Exploration