RN7SL184P

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

Across TCGA patient cohorts, RN7SL184P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,486 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL184P-associated GO terms across cancer lineages are Regulation of proteasomal protein catabolic process, Translesion synthesis, and Biological process involved in interaction with symbiont. Each is linked with RN7SL184P in more than 13 cancer types. Because this analysis shows association rather than direction, both RN7SL184P-to-partner and partner-to-RN7SL184P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of proteasomal protein catabolic process grouped by RN7SL184P-low versus RN7SL184P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL184P→partner) and Y-score (partner→RN7SL184P) 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
ESCARegulation of proteasomal protein catabolic process →+0.066+0.229<.001<.001314
ESCATranslesion synthesis →+0.060+0.240<.001<.001313
STADBiological process involved in interaction with symbiont →+0.061+0.121<.001<.001312
STADPositive regulation of cell cycle G1/S phase transition →+0.050+0.109<.001<.001312
STADProtein modification by small protein removal →+0.063+0.122<.001<.001312
STADMicrotubule polymerization →+0.060+0.126<.001<.001312
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,486 associations by consensus.

Regulation of proteasomal protein catabolic process by RN7SL184P expression — ESCA

Box plot of Regulation of proteasomal protein catabolic process in RN7SL184P-low vs RN7SL184P-high samples in ESCA.

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Exploration