Genomics-Informed Approach Identifies Which Cell Types Regulate the Metabolome
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ID: 315297
2026
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Abstract
Abstract Metabolism occurs in a cell type-specific manner, but which cells regulate metabolite levels remains unclear. Here, we integrate some of the largest metabolite quantitative trait loci datasets, TOPMed and UK Biobank, with one of the most extensive single-cell RNA sequencing resources, Tabula Sapiens. This integration allows us to identify cell types that regulate metabolites body-wide. We find hepatocytes are the primary regulatory cell type for most metabolites, associating with 385/410 (94%) metabolites for whom an association is found. Additionally, our multi-gene approach reveals more metabolite associations with beta cells compared to those identified using a single-gene approach. For example, we identify novel metabolite-cell type associations, such as the association between phenylpropanoic acid and beta cells, this metabolite that was previously thought to be regulated by the microbiome.
| Reference Key |
openalex_W7162813807
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| Authors | Haim Krupkin, Evin M. Padhi, Daniel Nachun, Jessica Kain, Jonathan Z. Long, Stephen B Montgomery |
| Journal | BMC Bioinformatics |
| Year | 2026 |
| DOI |
10.1093/bioinformatics/btag330
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| URL | |
| Keywords | Keywords not found |
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