RN7SL299P

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

Across TCGA patient cohorts, RN7SL299P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,967 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL299P-associated GO terms across cancer lineages are Regulation of generation of precursor metabolites and energy, Negative regulation of RNA splicing, and Protein complex oligomerization. Each is linked with RN7SL299P in more than 10 cancer types. Because this analysis shows association rather than direction, both RN7SL299P-to-partner and partner-to-RN7SL299P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of generation of precursor metabolites and energy grouped by RN7SL299P-low versus RN7SL299P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL299P→partner) and Y-score (partner→RN7SL299P) 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 generation of precursor metabolites and energy →+0.086+0.114<.001<.001311
ESCANegative regulation of RNA splicing →+0.093+0.186<.001.002310
ESCAProtein complex oligomerization →+0.076+0.201<.001.001310
ESCARhythmic process →+0.073+0.141<.001.002310
ESCANegative regulation of neuron projection development →+0.058+0.089<.001.00439
ESCARegeneration →+0.076+0.092<.001.00339
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,967 associations by consensus.

Regulation of generation of precursor metabolites and energy by RN7SL299P expression — ESCA

Box plot of Regulation of generation of precursor metabolites and energy in RN7SL299P-low vs RN7SL299P-high samples in ESCA.

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Exploration