SERGEF

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SERGEF protein abundance is significantly associated with the RNA expression of many other genes, with 3,403 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SERGEF-associated genes across cancer lineages are USP47, TRIM68, and LRRC66. Each is linked with SERGEF in more than 3 cancer types. Because this analysis shows association rather than direction, both SERGEF-to-partner and partner-to-SERGEF results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SERGEF versus USP47 in LSCC, with a Pearson correlation of 0.31.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SERGEF→partner) and Y-score (partner→SERGEF) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LSCCUSP47 →+0.374+0.266<.001<.00134
LUADTRIM68 →+0.611+0.179.003.00333
PDACLRRC66 →+0.870+0.170.001.00832
CCRCCTMEM156 →-0.502-0.168<.001.00232
BRCASLC15A2 →-0.599-0.195.002.00232
BRCARNU6V →-0.760-0.303.001.00332
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,403 associations by consensus.

SERGEF vs USP47 — LSCC

Per-sample scatter of SERGEF vs USP47 in LSCC (Pearson r = 0.31).

Explore this scatter interactively →

Exploration