Long-term expandable mouse and human-induced nephron progenitor cells enable kidney organoid maturation and modeling of plasticity and disease
- Creators
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Huang, Biao1
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Zeng, Zipeng1
- Kim, Sunghyun1
- Fausto, Connor C.1
- Koppitch, Kari1
- Li, Hui1
- Li, Zexu2
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Chen, Xi1
- Guo, Jinjin1
- Zhang, Chennan C.1
- Ma, Tianyi1
- Medina, Pedro1
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Schreiber, Megan E.1
- Xia, Mateo W.1
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Vonk, Ariel C.1
- Xiang, Tianyuan1
- Patel, Tadrushi1
- Li, Yidan1
- Parvez, Riana K.1
- Der, Balint1, 3
- Chen, Jyun Hao1
- Liu, Zhenqing4
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Thornton, Matthew E.1
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Grubbs, Brendan H.1
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Diao, Yarui5
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Dou, Yali1
- Gnedeva, Ksenia1
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Ying, Qilong1
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Pastor-Soler, Nuria M.1
- Fei, Teng2
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Hallows, Kenneth R.1
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Lindström, Nils O.1
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McMahon, Andrew P.1
- Li, Zhongwei1
Abstract
Nephron progenitor cells (NPCs) self-renew and differentiate into nephrons, the functional units of the kidney. Here, manipulation of p38 and YAP activity allowed for long-term clonal expansion of primary mouse and human NPCs and induced NPCs (iNPCs) from human pluripotent stem cells (hPSCs). Molecular analyses demonstrated that cultured iNPCs closely resemble primary human NPCs. iNPCs generated nephron organoids with minimal off-target cell types and enhanced maturation of podocytes relative to published human kidney organoid protocols. Surprisingly, the NPC culture medium uncovered plasticity in human podocyte programs, enabling podocyte reprogramming to an NPC-like state. Scalability and ease of genome editing facilitated genome-wide CRISPR screening in NPC culture, uncovering genes associated with kidney development and disease. Further, NPC-directed modeling of autosomal-dominant polycystic kidney disease (ADPKD) identified a small-molecule inhibitor of cystogenesis. These findings highlight a broad application for the reported iNPC platform in the study of kidney development, disease, plasticity, and regeneration.
Copyright and License
(c) 2024 Elsevier Inc. All rights reserved.
Acknowledgement
We would like to thank the USC Flow Cytometry Facility, USC Optical Imaging Facility, Children’s Hospital Los Angeles Molecular Pathology Genomics Core, and USC Norris Medical Library Bioinformatics Service for data collection; Dr. Melissa L. Wilson (Department of Preventive Medicine, USC) and Family Planning Associates for coordinating fetal tissue collection; and Cristy Lytal for help with editing the manuscript. This work was supported by UKRO foundation funding, KSOM Dean’s Pilot Award, and NIH Director’s Award (DP2DK135739) to Zhongwei Li and NIH DK054364 and CZI seed network grant (CZIF2019-002430) to A.P.M. Z.Z. was supported by a USC Stem Cell Challenge Award. M.E.S. was supported by a CIRM Bridges Award. P.M. was supported by NIH T32 training grant (T32HD060549). M.W.X. was supported by USC Provost’s Undergrad Research Fellowship.
Funding
This work was supported by UKRO foundation funding, KSOM Dean’s Pilot Award, and NIH Director’s Award (DP2DK135739) to Zhongwei Li and NIH DK054364 and CZI seed network grant (CZIF2019-002430) to A.P.M. Z.Z. was supported by a USC Stem Cell Challenge Award. M.E.S. was supported by a CIRM Bridges Award. P.M. was supported by NIH T32 training grant (T32HD060549). M.W.X. was supported by USC Provost’s Undergrad Research Fellowship.
Contributions
Conceptualization, B.H. and Zhongwei Li; methodology, investigation, and validation, B.H., Z.Z., H.L., K.K., X.C., J.G., C.C.Z., M.E.S., T.M., P.M., M.W.X., A.C.V., T.X., T.P., Y.L., R.K.P., B.D., Z. Liu, and J.H.C.; software and formal analysis, B.H., Z.Z., Zexu Li, S.K., C.C.F., and T.F.; resources, M.E.T., B.H.G., Y. Diao, Y. Dou, Q.Y., K.G., N.O.L., and A.P.M.; writing – original draft, B.H., Z.Z., and Zhongwei Li; writing – review and editing, B.H., Z.Z., S.K., T.F., N.M.P.-S., K.R.H., A.P.M., and Zhongwei Li.
Data Availability
Supplemental information can be found online at https://doi.org/10.1016/j.stem.2024.04.002.
Conflict of Interest
A.P.M. is a scientific advisor or consultant for Novartis, eGENESIS, Trestle Biotherapeutics, GentiBio, and IVIVA Medical. Zhongwei Li, B.H., Z.Z., A.P.M., K.R.H., and N.M.P.-S. have applied for intellectual property protection on the technologies discussed here.
Supplemental Material
- Document S1. Figures S1–S15.
- Table S1. Bulk RNA-seq data, related to Figures 1, 4, 5, and 6.
- Table S2. CRISPR screen data, related to Figure 3.
- Table S3. Single-cell multiome data, related to Figure 5.
- Methods S1. Summary of growth factors and small molecules screened in this study, mNPSR-v2 and hNPSR-v2 medium recipe, mNPC lines established, and oligos, related to STAR Methods.
- Document S2. Article plus supplemental information.
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Additional details
- National Institutes of Health
- Director’s Award DP2DK135739
- National Institutes of Health
- DK054364
- National Institutes of Health
- T32HD060549
- Chan Zuckerberg Initiative (United States)
- CZIF2019-002430
- University of Southern California
- Stem Cell Challenge Award -
- University of Southern California
- Provost’s Undergrad Research Fellowship -
- California Institute for Regenerative Medicine
- Bridges Award -
- Accepted
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2024-04-01Accepted
- Available
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2024-04-30Published online
- Available
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2024-06-06Version of record
- Caltech groups
- Division of Biology and Biological Engineering
- Publication Status
- Published