FADS2

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

Across TCGA cell cohorts, FADS2 RNA expression is significantly associated with the go_rna of many other GO terms, with 3,976 significant associations in total. BONE shows the largest number of these associations.

The most reproducible FADS2-associated GO terms across cancer lineages are Positive regulation of response to oxidative stress, Alpha-linolenic acid metabolic process, and Linoleic acid metabolic process. Each is linked with FADS2 in more than 18 cancer types. Because this analysis shows association rather than direction, both FADS2-to-partner and partner-to-FADS2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of response to oxidative stress grouped by FADS2-low versus FADS2-high in BLOOD_Myeloma.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (FADS2→partner) and Y-score (partner→FADS2) 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_MyelomaPositive regulation of response to oxidative stress →+0.301+4.005<.001<.001319
BLOOD_MyelomaAlpha-linolenic acid metabolic process →+0.232+3.424<.001<.001318
OESOPHAGUSLinoleic acid metabolic process →+0.337+3.055<.001<.001318
LUNG_NSCLC_LUADUnsaturated fatty acid biosynthetic process →+0.142+2.255<.001<.001316
LUNG_NSCLC_LUSCSterol biosynthetic process →+0.171+2.957<.001.009315
BONECholesterol biosynthetic process via lathosterol →+0.203+1.956<.001<.001314
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,976 associations by consensus.

Positive regulation of response to oxidative stress by FADS2 expression — BLOOD_Myeloma

Box plot of Positive regulation of response to oxidative stress in FADS2-low vs FADS2-high samples in BLOOD_Myeloma.

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Exploration