RHBDL2

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → FUNCTION-RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, RHBDL2 protein abundance is significantly associated with the go_rna of many other GO terms, with 1,887 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible RHBDL2-associated GO terms across cancer lineages are Positive regulation of cell cycle checkpoint, Regulation of membrane hyperpolarization, and Ventral midline development. Each is linked with RHBDL2 in more than 4 cancer types. Because this analysis shows association rather than direction, both RHBDL2-to-partner and partner-to-RHBDL2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of cell cycle checkpoint grouped by RHBDL2-low versus RHBDL2-high in LUNG_NSCLC_LUAD.

protein abundance associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RHBDL2→partner) and Y-score (partner→RHBDL2) 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
LUNG_NSCLC_LUADPositive regulation of cell cycle checkpoint →+0.075+0.562.003<.00135
SKINRegulation of membrane hyperpolarization →+0.230+0.421.004.00235
PANCREASVentral midline development →+0.984+0.555.002<.00134
BONEMicroglial cell activation →-0.203-0.515<.001.00234
BONELeukocyte activation involved in inflammatory response →-0.203-0.515<.001.00234
CNSHost-mediated perturbation of symbiont process →+0.052+0.368.002.00534
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,887 associations by consensus.

Positive regulation of cell cycle checkpoint by RHBDL2 expression — LUNG_NSCLC_LUAD

Box plot of Positive regulation of cell cycle checkpoint in RHBDL2-low vs RHBDL2-high samples in LUNG_NSCLC_LUAD.

Explore this box plot interactively →

Exploration