ABCC9

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

Across TCGA cell cohorts, ABCC9 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,142 significant associations in total. BONE shows the largest number of these associations.

The most reproducible ABCC9-associated GO terms across cancer lineages are Negative regulation of protein catabolic process, Protein activation cascade, and Positive regulation of actin filament bundle assembly. Each is linked with ABCC9 in more than 6 cancer types. Because this analysis shows association rather than direction, both ABCC9-to-partner and partner-to-ABCC9 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of protein catabolic process grouped by ABCC9-low versus ABCC9-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (ABCC9→partner) and Y-score (partner→ABCC9) 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
SOFT_TISSUENegative regulation of protein catabolic process →+0.047+1.094.001.00337
BONEProtein activation cascade →+0.316+1.660<.001.00537
LARGE_INTESTINEPositive regulation of actin filament bundle assembly →+0.037+0.729.008.00236
LARGE_INTESTINEIonotropic glutamate receptor signaling pathway →-0.124-0.858.001.00936
SOFT_TISSUEBiological process involved in interaction with symbiont →+0.217+1.274<.001<.00136
SOFT_TISSUEProcess utilizing autophagic mechanism →+0.039+0.792<.001.00336
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,142 associations by consensus.

Negative regulation of protein catabolic process by ABCC9 expression — SOFT_TISSUE

Box plot of Negative regulation of protein catabolic process in ABCC9-low vs ABCC9-high samples in SOFT_TISSUE.

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