Login / Signup

Whole-organism eQTL mapping at cellular resolution with single-cell sequencing.

Eyal Ben-DavidJames BoocockLonghua GuoStefan ZdraljevicJoshua S BloomLeonid Kruglyak
Published in: eLife (2021)
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 Caenorhabditis elegans 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 C. elegans individuals. We found cell-type-specific trans 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.
Keyphrases
  • single cell
  • rna seq
  • gene expression
  • high throughput
  • poor prognosis
  • high resolution
  • spinal cord
  • dna methylation
  • mass spectrometry
  • binding protein
  • cell cycle arrest