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Nephron organoids derived from human pluripotent stem cells model kidney development and injury
Open accessAbstract
Kidney cells and tissues derived from human pluripotent stem cells (hPSCs) may enable organ regeneration, disease modeling and drug screening. We report an efficient, chemically defined protocol for differentiating hPSCs into multipotent nephron progenitor cells (NPCs) that can form nephron-like structures. By recapitulating metanephric kidney development in vitro, we generate SIX2+SALL1+WT1+PAX2+ NPCs with 90% efficiency within 9 days of differentiation. The NPCs possess the developmental potential of their in vivo counterparts and form PAX8+LHX1+ renal vesicles that self-organize into nephron structures. In both two- and three-dimensional culture, NPCs form kidney organoids containing epithelial nephron-like structures expressing markers of podocytes, proximal tubules, loops of Henle and distal tubules in an organized, continuous arrangement that resembles the nephron in vivo. We also show that this organoid culture system can be used to study mechanisms of human kidney development and toxicity.
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Cerebral organoids model human brain development and microcephaly
Lancaster, M. A., Renner, M., Martin, C.-A., Wenzel, D., Bicknell, L. S., Hurles, M. E., Homfray, T., Penninger, J. M., Jackson, A. P., & Knoblich, J. A. (2013) · Nature · doi:10.1038/nature12517 · Cited by 5,372
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Modelling human development and disease in pluripotent stem-cell-derived gastric organoids
McCracken, K. W., Catá, E. M., Crawford, C. M., Sinagoga, K. L., Schumacher, M., Rockich, B. E., Tsai, Y.-H., Mayhew, C. N., Spence, J. R., Zavros, Y., et al. (2014) · Nature · doi:10.1038/nature13863 · Cited by 980
Mae, S.-I., Shono, A., Shiota, F., Yasuno, T., Kajiwara, M., Gotoda-Nishimura, N., Arai, S., Sato-Otubo, A., Toyoda, T., Takahashi, K., et al. (2013) · Nature Communications · doi:10.1038/ncomms2378 · Cited by 291
Cited by
Hofer, M., & Lutolf, M. P. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00279-y · Cited by 1,184
Progress and potential in organoid research
Rossi, G., Manfrin, A., & Lutolf, M. P. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0051-9 · Cited by 1,182
Flow-enhanced vascularization and maturation of kidney organoids in vitro
Homan, K. A., Gupta, N., Kroll, K. T., Kolesky, D. B., Skylar-Scott, M., Miyoshi, T., Mau, D., Valerius, M. T., Ferrante, T., Bonventre, J. V., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0325-y · Cited by 939
Self-citationBioprinting of 3D convoluted renal proximal tubules on perfusable chips
Homan, K. A., Kolesky, D. B., Skylar-Scott, M. A., Herrmann, J., Obuobi, H., Moisan, A., & Lewis, J. A. (2016) · Scientific Reports · doi:10.1038/srep34845 · Cited by 699
Cisplatin nephrotoxicity: new insights and therapeutic implications
Tang, C., Livingston, M. J., Safirstein, R., & Dong, Z. (2023) · Nature Reviews Nephrology · doi:10.1038/s41581-022-00631-7 · Cited by 548
Metadata
- Authors
- Morizane, R., Lam, A. Q., Freedman, B. S., Kishi, S., Valerius, M. T., & Bonventre, J. V.
- Venue
- Nature Biotechnology
- Published
- 2015-10-12
- Volume
- 33
- Issue
- 11
- Pages
- 1193-1200
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2192723508
- Cited by
- 927
- References
- 4
- FWCI
- 21.74
- Type
- journal article
- Language
- en
- Open access
- green
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- Morizane, R., Lam, A. Q., Freedman, B. S., Kishi, S., Valerius, M. T., & Bonventre, J. V. (2015). Nephron organoids derived from human pluripotent stem cells model kidney development and injury. Nature Biotechnology. https://doi.org/10.1038/nbt.3392
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
