Protein import into mitochondrial matrix

pathway activity — cross-omics
GO:0030150Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Protein import into mitochondrial matrix 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 ARPC4, MOAP1, and ZNF620, each associated with the pathway in up to 4 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, ARPC4 grouped by Protein import into mitochondrial matrix-low versus -high activity in BLOOD_Lymphoma.

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_LymphomaARPC4 →-0.961-0.627.005<.00134
BREASTMOAP1 →+0.727+0.191.003.00834
BREASTZNF620 →+0.804+0.249.009.00734
BREASTNPIPB13 →+0.525+0.220.005<.00134
OESOPHAGUSLTB4R →+1.390+0.420.008.00133
LIVERASAP3 →-1.748-0.336.002.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

ARPC4 by Protein import into mitochondrial matrix activity — BLOOD_Lymphoma

Box plot of ARPC4 in Protein import into mitochondrial matrix-low vs -high samples in BLOOD_Lymphoma.

Explore this box plot interactively →

Exploration