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Multiplexed bulk and single-cell RNA-seq hybrid enables cost-efficient disease modeling with chimeric organoids

Author

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  • Chen Cheng

    (Hong Kong Science and Technology Park
    Zhejiang University School of Medicine
    The University of Hong Kong, Pokfulam
    Zhejiang University)

  • Gang Wang

    (Zhejiang University School of Medicine
    Nanjing University School of Medicine
    Zhejiang University School of Medicine)

  • Yuqing Zhu

    (Zhejiang University
    Anhui University)

  • Hangdi Wu

    (Nanjing University School of Medicine
    Zhejiang University School of Medicine)

  • Li Zhang

    (Zhejiang University)

  • Zhihong Liu

    (Zhejiang University School of Medicine
    Nanjing University School of Medicine
    Zhejiang University School of Medicine)

  • Yuanhua Huang

    (Hong Kong Science and Technology Park
    The University of Hong Kong, Pokfulam
    The University of Hong Kong, Pokfulam)

  • Jin Zhang

    (Zhejiang University School of Medicine
    Zhejiang University
    Center of Gene/Cell Engineering and Genome Medicine of Zhejiang Province)

Abstract

Disease modeling with isogenic Induced Pluripotent Stem Cell (iPSC)-differentiated organoids serves as a powerful technique for studying disease mechanisms. Multiplexed coculture is crucial to mitigate batch effects when studying the genetic effects of disease-causing variants in differentiated iPSCs or organoids, and demultiplexing at the single-cell level can be conveniently achieved by assessing natural genetic barcodes. Here, to enable cost-efficient time-series experimental designs via multiplexed bulk and single-cell RNA-seq of hybrids, we introduce a computational method in our Vireo Suite, Vireo-bulk, to effectively deconvolve pooled bulk RNA-seq data by genotype reference, and thereby quantify donor abundance over the course of differentiation and identify differentially expressed genes among donors. Furthermore, with multiplexed scRNA-seq and bulk RNA-seq, we demonstrate the usefulness and necessity of a pooled design to reveal donor iPSC line heterogeneity during macrophage cell differentiation and to model rare WT1 mutation-driven kidney disease with chimeric organoids. Our work provides an experimental and analytic pipeline for dissecting disease mechanisms with chimeric organoids.

Suggested Citation

  • Chen Cheng & Gang Wang & Yuqing Zhu & Hangdi Wu & Li Zhang & Zhihong Liu & Yuanhua Huang & Jin Zhang, 2024. "Multiplexed bulk and single-cell RNA-seq hybrid enables cost-efficient disease modeling with chimeric organoids," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48282-5
    DOI: 10.1038/s41467-024-48282-5
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    References listed on IDEAS

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    1. Silvia Velasco & Amanda J. Kedaigle & Sean K. Simmons & Allison Nash & Marina Rocha & Giorgia Quadrato & Bruna Paulsen & Lan Nguyen & Xian Adiconis & Aviv Regev & Joshua Z. Levin & Paola Arlotta, 2019. "Individual brain organoids reproducibly form cell diversity of the human cerebral cortex," Nature, Nature, vol. 570(7762), pages 523-527, June.
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