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Cited by 780

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Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids

Open access
Freedman, Benjamin S., Brooks, Craig R., Lam, Albert Q., Fu, Hongxia, Morizane, Ryuji, Agrawal, Vishesh, Saad, Abdelaziz F., Li, Michelle K., Hughes, Michael R., Werff, Ryan Vander, Peters, Derek T., Lu, Junjie, Baccei, Anna, Siedlecki, Andrew M., Valerius, M. Todd, Musunuru, Kiran, McNagny, Kelly M., Steinman, Theodore I., Zhou, Jing, Lerou, Paul H., Bonventre, Joseph V.·2015·Nature Communications

Abstract

Human-pluripotent-stem-cell-derived kidney cells (hPSC-KCs) have important potential for disease modelling and regeneration. Whether the hPSC-KCs can reconstitute tissue-specific phenotypes is currently unknown. Here we show that hPSC-KCs self-organize into kidney organoids that functionally recapitulate tissue-specific epithelial physiology, including disease phenotypes after genome editing. In three-dimensional cultures, epiblast-stage hPSCs form spheroids surrounding hollow, amniotic-like cavities. GSK3β inhibition differentiates spheroids into segmented, nephron-like kidney organoids containing cell populations with characteristics of proximal tubules, podocytes and endothelium. Tubules accumulate dextran and methotrexate transport cargoes, and express kidney injury molecule-1 after nephrotoxic chemical injury. CRISPR/Cas9 knockout of podocalyxin causes junctional organization defects in podocyte-like cells. Knockout of the polycystic kidney disease genes PKD1 or PKD2 induces cyst formation from kidney tubules. All of these functional phenotypes are distinct from effects in epiblast spheroids, indicating that they are tissue specific. Our findings establish a reproducible, versatile three-dimensional framework for human epithelial disease modelling and regenerative medicine applications.

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Metadata

Authors
Freedman, B. S., Brooks, C. R., Lam, A. Q., Fu, H., Morizane, R., Agrawal, V., Saad, A. F., Li, M. K., Hughes, M. R., Werff, R. V., Peters, D. T., Lu, J., Baccei, A., Siedlecki, A. M., Valerius, M. T., Musunuru, K., McNagny, K. M., Steinman, T. I., Zhou, J., Lerou, P. H., & Bonventre, J. V.
Venue
Nature Communications
Published
2015-10-23
Volume
6
Issue
1
Pages
8715-8715
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2176166968
Cited by
780
References
8
FWCI
21.49
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids. https://app.cochat.ai/papers/10.1038/ncomms9715
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Freedman, B. S., Brooks, C. R., Lam, A. Q., Fu, H., Morizane, R., Agrawal, V., Saad, A. F., Li, M. K., Hughes, M. R., Werff, R. V., Peters, D. T., Lu, J., Baccei, A., Siedlecki, A. M., Valerius, M. T., Musunuru, K., McNagny, K. M., Steinman, T. I., Zhou, J., . . . Bonventre, J. V. (2015). Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids. Nature Communications. https://doi.org/10.1038/ncomms9715

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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.