henhaobio
Sign in

eLifeGeneticsPeer-reviewed journal article

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

Eyal Ben‐DavidiD, James BoocockiD, Longhua GuoiD, Stefan ZdraljeviciD, Joshua S. BloomiD, Leonid KruglyakiD

PDFDOIPreprint

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 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. elegnas 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.

Citations
49
FWCI
5.93
Field percentile
top 2%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLin '26Vochteloo '25Przytycki '23Alquicira-H '26Zhou '24Westra '14
76% semantic matchGenetics
Chen Lin, Yingxin Lin, Wenxuan Li+3 more·Nature Communications·Apr 22, 2026· 1 citations