Regulation of glutamate receptor clustering

pathway activity — cross-omics
GO:0106104Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of glutamate receptor clustering pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SMIM14, ZNF703, and PCIF1, 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, SMIM14 grouped by Regulation of glutamate receptor clustering-low versus -high activity in LUNG_SCLC.

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
LUNG_SCLCSMIM14 →+1.666+1.175.001.00235
BLOOD_LeukemiaZNF703 →+1.574+1.499<.001.00135
CNSPCIF1 →+0.760+1.227<.001.00235
OVARYNSA2 →-0.908-1.276.002.00225
BLOOD_LeukemiaMICAL1 →+2.575+1.405<.001<.00134
BLOOD_LeukemiaCAPN3 →+2.262+1.608<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

SMIM14 by Regulation of glutamate receptor clustering activity — LUNG_SCLC

Box plot of SMIM14 in Regulation of glutamate receptor clustering-low vs -high samples in LUNG_SCLC.

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Exploration