Comparative Analysis and Refinement of Human PSC-Derived Kidney Organoid Differentiation with Single-Cell Transcriptomics

被引:401
|
作者
Wu, Haojia [1 ]
Uchimura, Kohei [1 ]
Donnelly, Erinn L. [1 ]
Kirita, Yuhei [1 ]
Morris, Samantha A. [2 ,3 ]
Humphreys, Benjamin D. [1 ,2 ]
机构
[1] Washington Univ, Sch Med, Dept Med, Div Nephrol, St Louis, MO 63110 USA
[2] Washington Univ, Sch Med, Dept Dev Biol, St Louis, MO 63110 USA
[3] Washington Univ, Sch Med, Dept Genet, St Louis, MO 63110 USA
基金
日本学术振兴会;
关键词
HUMAN PLURIPOTENT CELLS; RNA-SEQ; STEM-CELLS; MOUSE; REVEALS; GENE; GENERATION; EXPRESSION; LINEAGES; MELANOMA;
D O I
10.1016/j.stem.2018.10.010
中图分类号
Q813 [细胞工程];
学科分类号
摘要
Kidney organoids derived from human pluripotent stem cells have great utility for investigating organogenesis and disease mechanisms and, potentially, as a replacement tissue source, but how closely organoids derived from current protocols replicate adult human kidney is undefined. We compared two directed differentiation protocols by single-cell transcriptomics of 83,130 cells from 65 organoids with single-cell transcriptomes of fetal and adult kidney cells. Both protocols generate a diverse range of kidney cells with differing ratios, but organoid-derived cell types are immature, and 10%-20% of cells are non-renal. Reconstructing lineage relationships by pseudotemporal ordering identified ligands, receptors, and transcription factor networks associated with fate decisions. Brain-derived neurotrophic factor (BDNF) and its cognate receptor NTRK2 were expressed in the neuronal lineage during organoid differentiation. Inhibiting this pathway improved organoid formation by reducing neurons by 90% without affecting kidney differentiation, highlighting the power of single-cell technologies to characterize and improve organoid differentiation.
引用
收藏
页码:869 / +
页数:21
相关论文
共 50 条
  • [31] Single-Cell Transcriptomics Analysis Reveals a Cell Atlas and Cell Communication in Yak Ovary
    Pei, Jie
    Xiong, Lin
    Guo, Shaoke
    Wang, Xingdong
    La, Yongfu
    Chu, Min
    Liang, Chunnian
    Yan, Ping
    Guo, Xian
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (03)
  • [32] Comparative Single-Cell Transcriptomics of Human Neuroblastoma and Preclinical Models Reveals Conservation of an Adrenergic Cell State
    Embaie, Bethel Tesfai
    Sarkar, Hirak
    Alchahin, Adele M.
    Otte, Jorg
    Olsen, Thale Kristin
    Tummler, Conny
    Kameneva, Polina
    Artemov, Artem V.
    Akkuratova, Natalia
    Adameyko, Igor
    Stukenborg, Jan-Bernd
    Wickstrom, Malin
    Kogner, Per
    Johnsen, John Inge
    Mei, Shenglin
    Kharchenko, Peter V.
    Baryawno, Ninib
    CANCER RESEARCH, 2025, 85 (06) : 1015 - 1034
  • [33] Human organomics: a fresh approach to understanding human development using single-cell transcriptomics
    Camp, J. Gray
    Treutlein, Barbara
    DEVELOPMENT, 2017, 144 (09): : 1584 - 1587
  • [34] Single-cell transcriptomics defines keratinocyte differentiation in avian scutate scales
    Lachner, Julia
    Ehrlich, Florian
    Wielscher, Matthias
    Farlik, Matthias
    Hermann, Marcela
    Tschachler, Erwin
    Eckhart, Leopold
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [35] Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research
    Maedler, Sophia Clara
    Julien-Laferriere, Alice
    Wyss, Luis
    Phan, Miroslav
    Sonrel, Anthony
    Kang, Albert S. W.
    Ulrich, Eric
    Schmucki, Roland
    Zhang, Jitao David
    Ebeling, Martin
    Badi, Laura
    Kam-Thong, Tony
    Schwalie, Petra C.
    Hatje, Klas
    NAR GENOMICS AND BIOINFORMATICS, 2021, 3 (04)
  • [36] Comparative analysis of cell lineage differentiation during hepatogenesis in humans and mice at the single-cell transcriptome level
    Wang, Xin
    Yang, Li
    Wang, Yan-Chun
    Xu, Zi-Ran
    Feng, Ye
    Zhang, Jing
    Wang, Yi
    Xu, Cheng-Ran
    CELL RESEARCH, 2020, 30 (12) : 1109 - 1126
  • [37] Meta-analysis of single-cell and single-nucleus transcriptomics reveals kidney cell type consensus signatures
    Quatredeniers, Marceau
    Serafin, Alice S. S.
    Benmerah, Alexandre
    Rausell, Antonio
    Saunier, Sophie
    Viau, Amandine
    SCIENTIFIC DATA, 2023, 10 (01)
  • [38] Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain
    Lake, Blue B.
    Chen, Song
    Sos, Brandon C.
    Fan, Jean
    Kaeser, Gwendolyn E.
    Yung, Yun C.
    Duong, Thu E.
    Gao, Derek
    Chun, Jerold
    Kharchenko, Peter V.
    Zhang, Kun
    NATURE BIOTECHNOLOGY, 2018, 36 (01) : 70 - +
  • [39] Profiling human brain vascular cells using single-cell transcriptomics and organoids
    Crouch, Elizabeth E.
    Diafos, Loukas N.
    Valenzuela, Edward J.
    Wedderburn-Pugh, Kaylee
    Birrueta, Janeth Ochoa
    Caston, Jaela
    Joseph, Tara
    Andrews, Madeline G.
    Bhaduri, Aparna
    Huang, Eric J.
    NATURE PROTOCOLS, 2024, 19 (03) : 603 - 628
  • [40] Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease
    Park, Jihwan
    Shrestha, Rojesh
    Qiu, Chengxiang
    Kondo, Ayano
    Huang, Shizheng
    Werth, Max
    Li, Mingyao
    Barasch, Jonathan
    Susztak, Katalin
    SCIENCE, 2018, 360 (6390) : 758 - 763