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

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE266500
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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), anin vitrosystem 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. We differentiated two replicates of 51 iPSC lines across 17 batches consisting of 4 to 8 lines per batch. Each batch contained at least one line of each sex. In each batch, lines were formed and maintained in parallel. Each replicate represents a separate instance of HDC differentiation and will capture technical effects introduced during formation, maintenance, dissociation, and collection.
创建时间:
2025-07-09
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