Whole-organism eQTL mapping at cellular resolution with single-cell sequencing.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 33734084.
- Also identified by DOI 10.7554/eLife.65857 and PMC identifier 8062134.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Genetic regulation of gene expression underlies variation in disease risk and other complex traits. The effect of expression quantitative trait loci (eQTLs) varies across cell types; however, the complexity of mammalian tissues makes studying cell-type eQTLs highly challenging. We developed a novel approach in the model nematode <i>Caenorhabditis elegans</i> that uses single-cell RNA sequencing to map eQTLs at cellular resolution in a single one-pot experiment. We mapped eQTLs across cell types in an extremely large population of genetically distinct <i>C. elegans</i> individuals. We found cell-type-specific <i>trans</i> eQTL hotspots that affect the expression of core pathways in the relevant cell types. Finally, we found single-cell-specific eQTL effects in the nervous system, including an eQTL with opposite effects in two individual neurons. Our results show that eQTL effects can be specific down to the level of single cells.
Medical subject headings
- Caenorhabditis elegans
- Chromosome Mapping
- Quantitative Trait Loci
- Single-Cell Analysis