RFPL3

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

Across TCGA cell cohorts, RFPL3 RNA expression is significantly associated with the go_rna of many other GO terms, with 1,004 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible RFPL3-associated GO terms across cancer lineages are Vesicle targeting, to, from or within Golgi, Protein modification by small protein removal, and Regulation of stem cell population maintenance. Each is linked with RFPL3 in more than 4 cancer types. Because this analysis shows association rather than direction, both RFPL3-to-partner and partner-to-RFPL3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Vesicle targeting, to, from or within Golgi grouped by RFPL3-low versus RFPL3-high in BLOOD_Lymphoma.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RFPL3→partner) and Y-score (partner→RFPL3) 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_LymphomaVesicle targeting, to, from or within Golgi →+0.052+0.043.001.00935
UPPER_AERODIGESTIVE_TRACTProtein modification by small protein removal →+0.033+0.042.003<.00134
LUNG_SCLCRegulation of stem cell population maintenance →+0.063+0.071.001.00334
UPPER_AERODIGESTIVE_TRACTDNA integrity checkpoint signaling →+0.055+0.042.005<.00134
LUNG_SCLCPositive regulation of DNA metabolic process →+0.040+0.072.005.00134
OVARYRenal system process →-0.073-0.024.002.00825
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,004 associations by consensus.

Vesicle targeting, to, from or within Golgi by RFPL3 expression — BLOOD_Lymphoma

Box plot of Vesicle targeting, to, from or within Golgi in RFPL3-low vs RFPL3-high samples in BLOOD_Lymphoma.

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Exploration