Cargando…
Whole-organism eQTL mapping at cellular resolution with single-cell sequencing
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...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062134/ https://www.ncbi.nlm.nih.gov/pubmed/33734084 http://dx.doi.org/10.7554/eLife.65857 |
_version_ | 1783681705765240832 |
---|---|
author | Ben-David, Eyal Boocock, James Guo, Longhua Zdraljevic, Stefan Bloom, Joshua S Kruglyak, Leonid |
author_facet | Ben-David, Eyal Boocock, James Guo, Longhua Zdraljevic, Stefan Bloom, Joshua S Kruglyak, Leonid |
author_sort | Ben-David, Eyal |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8062134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-80621342021-04-29 Whole-organism eQTL mapping at cellular resolution with single-cell sequencing Ben-David, Eyal Boocock, James Guo, Longhua Zdraljevic, Stefan Bloom, Joshua S Kruglyak, Leonid eLife Genetics and Genomics 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. eLife Sciences Publications, Ltd 2021-03-18 /pmc/articles/PMC8062134/ /pubmed/33734084 http://dx.doi.org/10.7554/eLife.65857 Text en © 2021, Ben-David et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Genetics and Genomics Ben-David, Eyal Boocock, James Guo, Longhua Zdraljevic, Stefan Bloom, Joshua S Kruglyak, Leonid Whole-organism eQTL mapping at cellular resolution with single-cell sequencing |
title | Whole-organism eQTL mapping at cellular resolution with single-cell sequencing |
title_full | Whole-organism eQTL mapping at cellular resolution with single-cell sequencing |
title_fullStr | Whole-organism eQTL mapping at cellular resolution with single-cell sequencing |
title_full_unstemmed | Whole-organism eQTL mapping at cellular resolution with single-cell sequencing |
title_short | Whole-organism eQTL mapping at cellular resolution with single-cell sequencing |
title_sort | whole-organism eqtl mapping at cellular resolution with single-cell sequencing |
topic | Genetics and Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062134/ https://www.ncbi.nlm.nih.gov/pubmed/33734084 http://dx.doi.org/10.7554/eLife.65857 |
work_keys_str_mv | AT bendavideyal wholeorganismeqtlmappingatcellularresolutionwithsinglecellsequencing AT boocockjames wholeorganismeqtlmappingatcellularresolutionwithsinglecellsequencing AT guolonghua wholeorganismeqtlmappingatcellularresolutionwithsinglecellsequencing AT zdraljevicstefan wholeorganismeqtlmappingatcellularresolutionwithsinglecellsequencing AT bloomjoshuas wholeorganismeqtlmappingatcellularresolutionwithsinglecellsequencing AT kruglyakleonid wholeorganismeqtlmappingatcellularresolutionwithsinglecellsequencing |