AIPL1

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

Across TCGA patient cohorts, AIPL1 RNA expression is significantly associated with the go_rna of many other GO terms, with 6,907 significant associations in total. STAD shows the largest number of these associations.

The most reproducible AIPL1-associated GO terms across cancer lineages are Positive regulation of canonical NF-kappaB signal transduction, Negative regulation of response to biotic stimulus, and Negative regulation of viral genome replication. Each is linked with AIPL1 in more than 17 cancer types. Because this analysis shows association rather than direction, both AIPL1-to-partner and partner-to-AIPL1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of canonical NF-kappaB signal transduction grouped by AIPL1-low versus AIPL1-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (AIPL1→partner) and Y-score (partner→AIPL1) 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
STADPositive regulation of canonical NF-kappaB signal transduction →+0.064+0.096<.001<.001318
STADNegative regulation of response to biotic stimulus →+0.063+0.122<.001<.001318
STADNegative regulation of viral genome replication →+0.074+0.111<.001<.001318
STADViral genome replication →+0.069+0.096<.001<.001317
STADRegulation of cysteine-type endopeptidase activity →+0.058+0.105<.001<.001317
STADType I interferon production →+0.068+0.106<.001<.001317
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,907 associations by consensus.

Positive regulation of canonical NF-kappaB signal transduction by AIPL1 expression — STAD

Box plot of Positive regulation of canonical NF-kappaB signal transduction in AIPL1-low vs AIPL1-high samples in STAD.

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Exploration