LGALS1

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

Across TCGA cell cohorts, LGALS1 RNA expression is significantly associated with the go_rna of many other GO terms, with 6,958 significant associations in total. BONE shows the largest number of these associations.

The most reproducible LGALS1-associated GO terms across cancer lineages are Negative regulation of cell fate commitment, Negative regulation of T-helper 17 cell lineage commitment, and Collagen fibril organization. Each is linked with LGALS1 in more than 17 cancer types. Because this analysis shows association rather than direction, both LGALS1-to-partner and partner-to-LGALS1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of cell fate commitment grouped by LGALS1-low versus LGALS1-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (LGALS1→partner) and Y-score (partner→LGALS1) 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_SCLCNegative regulation of cell fate commitment →+1.205+6.463<.001<.001318
LUNG_SCLCNegative regulation of T-helper 17 cell lineage commitment →+1.194+4.014<.001<.001316
BONECollagen fibril organization →+0.340+3.730<.001<.001316
LIVEREstablishment of epithelial cell apical/basal polarity →+0.233+4.298<.001<.001316
CNSNegative regulation of T-helper cell differentiation →+0.186+2.491<.001.001316
BLOOD_LeukemiaKeratinocyte development →+0.829+2.619<.001<.001316
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,958 associations by consensus.

Negative regulation of cell fate commitment by LGALS1 expression — LUNG_SCLC

Box plot of Negative regulation of cell fate commitment in LGALS1-low vs LGALS1-high samples in LUNG_SCLC.

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Exploration