Biao Huang, Pedro Medina, Jincan He, Zipeng Zeng, Sunghyun Kim, Janet Romo, Kari Koppitch, Chennan C. Zhang, Georgina Gyarmati, Yohan Park, Ruslan Bohovyk, Pierre-Emmanuel Yoann N’Guetta, Jinjin Guo, Tianyi Ma, Megan E. Schreiber, Cong Xu, Jessica Pham, Riana K. Parvez, Jackson Su, Mateo W. Xia, Zhongwei Li
{"title":"空间模式的肾脏组装体概括了祖细胞的自组装,并实现了高保真的体内疾病建模","authors":"Biao Huang, Pedro Medina, Jincan He, Zipeng Zeng, Sunghyun Kim, Janet Romo, Kari Koppitch, Chennan C. Zhang, Georgina Gyarmati, Yohan Park, Ruslan Bohovyk, Pierre-Emmanuel Yoann N’Guetta, Jinjin Guo, Tianyi Ma, Megan E. Schreiber, Cong Xu, Jessica Pham, Riana K. Parvez, Jackson Su, Mateo W. Xia, Zhongwei Li","doi":"10.1016/j.stem.2025.08.013","DOIUrl":null,"url":null,"abstract":"Current kidney organoids do not recapitulate the kidney’s complex spatial patterning and function, limiting their applications. The human kidney comprises one million nephrons, derived from nephron progenitor cells, that connect to an arborized ureteric progenitor cell-derived collecting system. Here, we develop spatially organized mouse and human kidney progenitor assembloid (KPA) models in which the nephrons undergo extensive development and fuse to a centrally located collecting system, recapitulating kidney progenitor self-assembly processes observed <em>in vivo</em>. KPAs show dramatically improved cellular complexity and maturity and exhibit several aspects of major kidney functions <em>in vitro</em> and <em>in vivo</em>. Modeling human autosomal dominant polycystic kidney disease (ADPKD) with genome-edited, <em>in vivo</em>-grown human KPAs recapitulated the cystic phenotype and the molecular and cellular hallmarks of the disease and highlighted the crosstalk among cyst epithelium, stroma, and macrophages. The KPA platform opens new avenues for high-fidelity disease modeling and lays a strong foundation for kidney regenerative medicine.","PeriodicalId":9665,"journal":{"name":"Cell stem cell","volume":"52 1","pages":""},"PeriodicalIF":20.4000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatially patterned kidney assembloids recapitulate progenitor self-assembly and enable high-fidelity in vivo disease modeling\",\"authors\":\"Biao Huang, Pedro Medina, Jincan He, Zipeng Zeng, Sunghyun Kim, Janet Romo, Kari Koppitch, Chennan C. Zhang, Georgina Gyarmati, Yohan Park, Ruslan Bohovyk, Pierre-Emmanuel Yoann N’Guetta, Jinjin Guo, Tianyi Ma, Megan E. Schreiber, Cong Xu, Jessica Pham, Riana K. Parvez, Jackson Su, Mateo W. Xia, Zhongwei Li\",\"doi\":\"10.1016/j.stem.2025.08.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current kidney organoids do not recapitulate the kidney’s complex spatial patterning and function, limiting their applications. The human kidney comprises one million nephrons, derived from nephron progenitor cells, that connect to an arborized ureteric progenitor cell-derived collecting system. Here, we develop spatially organized mouse and human kidney progenitor assembloid (KPA) models in which the nephrons undergo extensive development and fuse to a centrally located collecting system, recapitulating kidney progenitor self-assembly processes observed <em>in vivo</em>. KPAs show dramatically improved cellular complexity and maturity and exhibit several aspects of major kidney functions <em>in vitro</em> and <em>in vivo</em>. Modeling human autosomal dominant polycystic kidney disease (ADPKD) with genome-edited, <em>in vivo</em>-grown human KPAs recapitulated the cystic phenotype and the molecular and cellular hallmarks of the disease and highlighted the crosstalk among cyst epithelium, stroma, and macrophages. The KPA platform opens new avenues for high-fidelity disease modeling and lays a strong foundation for kidney regenerative medicine.\",\"PeriodicalId\":9665,\"journal\":{\"name\":\"Cell stem cell\",\"volume\":\"52 1\",\"pages\":\"\"},\"PeriodicalIF\":20.4000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell stem cell\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.stem.2025.08.013\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL & TISSUE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell stem cell","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.stem.2025.08.013","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL & TISSUE ENGINEERING","Score":null,"Total":0}
Spatially patterned kidney assembloids recapitulate progenitor self-assembly and enable high-fidelity in vivo disease modeling
Current kidney organoids do not recapitulate the kidney’s complex spatial patterning and function, limiting their applications. The human kidney comprises one million nephrons, derived from nephron progenitor cells, that connect to an arborized ureteric progenitor cell-derived collecting system. Here, we develop spatially organized mouse and human kidney progenitor assembloid (KPA) models in which the nephrons undergo extensive development and fuse to a centrally located collecting system, recapitulating kidney progenitor self-assembly processes observed in vivo. KPAs show dramatically improved cellular complexity and maturity and exhibit several aspects of major kidney functions in vitro and in vivo. Modeling human autosomal dominant polycystic kidney disease (ADPKD) with genome-edited, in vivo-grown human KPAs recapitulated the cystic phenotype and the molecular and cellular hallmarks of the disease and highlighted the crosstalk among cyst epithelium, stroma, and macrophages. The KPA platform opens new avenues for high-fidelity disease modeling and lays a strong foundation for kidney regenerative medicine.
期刊介绍:
Cell Stem Cell is a comprehensive journal covering the entire spectrum of stem cell biology. It encompasses various topics, including embryonic stem cells, pluripotency, germline stem cells, tissue-specific stem cells, differentiation, epigenetics, genomics, cancer stem cells, stem cell niches, disease models, nuclear transfer technology, bioengineering, drug discovery, in vivo imaging, therapeutic applications, regenerative medicine, clinical insights, research policies, ethical considerations, and technical innovations. The journal welcomes studies from any model system providing insights into stem cell biology, with a focus on human stem cells. It publishes research reports of significant importance, along with review and analysis articles covering diverse aspects of stem cell research.