Cell type and dynamic state govern genetic regulation of gene expression in heterogeneous differentiating cultures

Identifying the molecular effects of human genetic variation across cellular contexts is crucial for understanding the mechanisms underlying disease-associated loci, yet many cell types and developmental stages remain underexplored. Here, we harnessed the potential of heterogeneous differentiating cultures (HDCs), an in vitro system in which pluripotent cells asynchronously differentiate into a broad spectrum of cell types. We generated HDCs for 53 human donors and collected single-cell RNA sequencing data from over 900,000 cells. We identified expression quantitative trait loci in 29 cell types and characterized regulatory dynamics across diverse differentiation trajectories. This revealed novel regulatory variants for genes involved in key developmental and disease-related processes while replicating known effects from primary tissues and dynamic regulatory effects associated with a range of complex traits.

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Publication Details

Journal
Cell Genomics
Published
2024-12-01
DOI
https://doi.org/10.1016/j.xgen.2024.100701
Citations
8
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
1.87

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article

Cell type and dynamic state govern genetic regulation of gene expression in heterogeneous differentiating cultures

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8 citations
Cell Genomics
CRISPR and Genetic Engineering
1.87
article

Cell type and dynamic state govern genetic regulation of gene expression in heterogeneous differentiating cultures

Yoav Gilad, Katherine Rhodes, Kenneth Barr, Radhika Jangi, Alexis Battle, Joshua M Popp, Mingyuan Li, Karl Tayeb
article en
8 citations

Abstract

Identifying the molecular effects of human genetic variation across cellular contexts is crucial for understanding the mechanisms underlying disease-associated loci, yet many cell types and developmental stages remain underexplored. Here, we harnessed the potential of heterogeneous differentiating cultures (HDCs), an in vitro system in which pluripotent cells asynchronously differentiate into a broad spectrum of cell types. We generated HDCs for 53 human donors and collected single-cell RNA sequencing data from over 900,000 cells. We identified expression quantitative trait loci in 29 cell types and characterized regulatory dynamics across diverse differentiation trajectories. This revealed novel regulatory variants for genes involved in key developmental and disease-related processes while replicating known effects from primary tissues and dynamic regulatory effects associated with a range of complex traits.

Cell GenomicsVol. 4(12)
Johns Hopkins University (US), Johns Hopkins Medicine (US), University of Chicago (US)
Johns Hopkins University, National Institutes of Health, National Human Genome Research Institute, National Institute of General Medical Sciences
Zero hunger
Openalex Percentile: Top 14%
CRISPR and Genetic Engineering
1.87
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