CRYBB1

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

Across TCGA cell cohorts, CRYBB1 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,128 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible CRYBB1-associated GO terms across cancer lineages are Endosomal lumen acidification, Carbohydrate derivative catabolic process, and Positive regulation of matrix metallopeptidase secretion. Each is linked with CRYBB1 in more than 3 cancer types. Because this analysis shows association rather than direction, both CRYBB1-to-partner and partner-to-CRYBB1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Endosomal lumen acidification grouped by CRYBB1-low versus CRYBB1-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (CRYBB1→partner) and Y-score (partner→CRYBB1) 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_SCLCEndosomal lumen acidification →+0.079+0.465.002.00934
LUNG_SCLCCarbohydrate derivative catabolic process →-0.061-0.622.001<.00133
BLOOD_LeukemiaPositive regulation of matrix metallopeptidase secretion →-0.132-0.613.007.00333
BLOOD_LymphomaRegulation of smooth muscle cell-matrix adhesion →-0.737-0.266<.001.00133
BLOOD_LeukemiaResponse to molecule of fungal origin →+0.950+0.690<.001<.00133
BLOOD_LymphomaPositive regulation of cell growth →+0.026+0.206.001.00433
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,128 associations by consensus.

Endosomal lumen acidification by CRYBB1 expression — LUNG_SCLC

Box plot of Endosomal lumen acidification in CRYBB1-low vs CRYBB1-high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration