RN7SL743P

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

Across TCGA patient cohorts, RN7SL743P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,276 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL743P-associated GO terms across cancer lineages are Monosaccharide metabolic process, Negative regulation of cellular catabolic process, and Phosphatidylinositol metabolic process. Each is linked with RN7SL743P in more than 13 cancer types. Because this analysis shows association rather than direction, both RN7SL743P-to-partner and partner-to-RN7SL743P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Monosaccharide metabolic process grouped by RN7SL743P-low versus RN7SL743P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL743P→partner) and Y-score (partner→RN7SL743P) 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
ESCAMonosaccharide metabolic process →+0.044+0.367.002<.001314
ESCANegative regulation of cellular catabolic process →+0.058+0.437.003<.001314
ESCAPhosphatidylinositol metabolic process →+0.050+0.362.002<.001314
STADObsolete ncRNA transcription →+0.044+0.329<.001<.001313
ESCAPositive regulation of post-translational protein modification →+0.065+0.396.003<.001313
ESCAPositive regulation of protein modification by small protein conjugation or removal →+0.064+0.426.004<.001313
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,276 associations by consensus.

Monosaccharide metabolic process by RN7SL743P expression — ESCA

Box plot of Monosaccharide metabolic process in RN7SL743P-low vs RN7SL743P-high samples in ESCA.

Explore this box plot interactively →

Exploration