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Single cell regulatory landscape of the mouse kidney highlights cellular differentiation programs and disease targets

Author

Listed:
  • Zhen Miao

    (Perelman School of Medicine
    Perelman School of Medicine
    Perelman School of Medicine)

  • Michael S. Balzer

    (Perelman School of Medicine
    Perelman School of Medicine)

  • Ziyuan Ma

    (Perelman School of Medicine
    Perelman School of Medicine)

  • Hongbo Liu

    (Perelman School of Medicine
    Perelman School of Medicine)

  • Junnan Wu

    (Perelman School of Medicine
    Perelman School of Medicine)

  • Rojesh Shrestha

    (Perelman School of Medicine
    Perelman School of Medicine)

  • Tamas Aranyi

    (Perelman School of Medicine
    Perelman School of Medicine)

  • Amy Kwan

    (Perelman School of Medicine)

  • Ayano Kondo

    (Perelman School of Medicine)

  • Marco Pontoglio

    (Institut Necker Enfants Malades)

  • Junhyong Kim

    (University of Pennsylvania)

  • Mingyao Li

    (Perelman School of Medicine)

  • Klaus H. Kaestner

    (Perelman School of Medicine
    Perelman School of Medicine)

  • Katalin Susztak

    (Perelman School of Medicine
    Perelman School of Medicine
    Perelman School of Medicine)

Abstract

Determining the epigenetic program that generates unique cell types in the kidney is critical for understanding cell-type heterogeneity during tissue homeostasis and injury response. Here, we profile open chromatin and gene expression in developing and adult mouse kidneys at single cell resolution. We show critical reliance of gene expression on distal regulatory elements (enhancers). We reveal key cell type-specific transcription factors and major gene-regulatory circuits for kidney cells. Dynamic chromatin and expression changes during nephron progenitor differentiation demonstrates that podocyte commitment occurs early and is associated with sustained Foxl1 expression. Renal tubule cells follow a more complex differentiation, where Hfn4a is associated with proximal and Tfap2b with distal fate. Mapping single nucleotide variants associated with human kidney disease implicates critical cell types, developmental stages, genes, and regulatory mechanisms. The single cell multi-omics atlas reveals key chromatin remodeling events and gene expression dynamics associated with kidney development.

Suggested Citation

  • Zhen Miao & Michael S. Balzer & Ziyuan Ma & Hongbo Liu & Junnan Wu & Rojesh Shrestha & Tamas Aranyi & Amy Kwan & Ayano Kondo & Marco Pontoglio & Junhyong Kim & Mingyao Li & Klaus H. Kaestner & Katalin, 2021. "Single cell regulatory landscape of the mouse kidney highlights cellular differentiation programs and disease targets," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22266-1
    DOI: 10.1038/s41467-021-22266-1
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    Cited by:

    1. Haojia Wu & Eryn E. Dixon & Qiao Xuanyuan & Juanru Guo & Yasuhiro Yoshimura & Chitnis Debashish & Anezka Niesnerova & Hao Xu & Morgane Rouault & Benjamin D. Humphreys, 2024. "High resolution spatial profiling of kidney injury and repair using RNA hybridization-based in situ sequencing," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Li-Kai Chu & Xu Cao & Lin Wan & Qiang Diao & Yu Zhu & Yu Kan & Li-Li Ye & Yi-Ming Mao & Xing-Qiang Dong & Qian-Wei Xiong & Ming-Cui Fu & Ting Zhang & Hui-Ting Zhou & Shi-Zhong Cai & Zhou-Rui Ma & Ssu-, 2023. "Autophagy of OTUD5 destabilizes GPX4 to confer ferroptosis-dependent kidney injury," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. Chen-Rui Xia & Zhi-Jie Cao & Xin-Ming Tu & Ge Gao, 2023. "Spatial-linked alignment tool (SLAT) for aligning heterogenous slices," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Wei E. Gordon & Seungbyn Baek & Hai P. Nguyen & Yien-Ming Kuo & Rachael Bradley & Sarah L. Fong & Nayeon Kim & Alex Galazyuk & Insuk Lee & Melissa R. Ingala & Nancy B. Simmons & Tony Schountz & Lisa N, 2024. "Integrative single-cell characterization of a frugivorous and an insectivorous bat kidney and pancreas," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    5. Nicolas Ledru & Parker C. Wilson & Yoshiharu Muto & Yasuhiro Yoshimura & Haojia Wu & Dian Li & Amish Asthana & Stefan G. Tullius & Sushrut S. Waikar & Giuseppe Orlando & Benjamin D. Humphreys, 2024. "Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    6. Yoshiharu Muto & Eryn E. Dixon & Yasuhiro Yoshimura & Haojia Wu & Kohei Omachi & Nicolas Ledru & Parker C. Wilson & Andrew J. King & N. Eric Olson & Marvin G. Gunawan & Jay J. Kuo & Jennifer H. Cox & , 2022. "Defining cellular complexity in human autosomal dominant polycystic kidney disease by multimodal single cell analysis," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    7. Naomi Pode-Shakked & Megan Slack & Nambirajan Sundaram & Ruth Schreiber & Kyle W. McCracken & Benjamin Dekel & Michael Helmrath & Raphael Kopan, 2023. "RAAS-deficient organoids indicate delayed angiogenesis as a possible cause for autosomal recessive renal tubular dysgenesis," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    8. Michael S. Balzer & Tomohito Doke & Ya-Wen Yang & Daniel L. Aldridge & Hailong Hu & Hung Mai & Dhanunjay Mukhi & Ziyuan Ma & Rojesh Shrestha & Matthew B. Palmer & Christopher A. Hunter & Katalin Suszt, 2022. "Single-cell analysis highlights differences in druggable pathways underlying adaptive or fibrotic kidney regeneration," Nature Communications, Nature, vol. 13(1), pages 1-18, December.

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