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Adult human kidney organoids originate from CD24(+) cells and represent an advanced model for adult polycystic kidney disease

Authors :
Yaoxian Xu
Christoph Kuppe
Javier Perales-Patón
Sikander Hayat
Jennifer Kranz
Ali T. Abdallah
James Nagai
Zhijian Li
Fabian Peisker
Turgay Saritas
Maurice Halder
Sylvia Menzel
Konrad Hoeft
Annegien Kenter
Hyojin Kim
Claudia R. C. van Roeyen
Michael Lehrke
Julia Moellmann
Thimoteus Speer
Eva M. Buhl
Remco Hoogenboezem
Peter Boor
Jitske Jansen
Cordula Knopp
Ingo Kurth
Bart Smeets
Eric Bindels
Marlies E. J. Reinders
Carla Baan
Joost Gribnau
Ewout J. Hoorn
Joachim Steffens
Tobias B. Huber
Ivan Costa
Jürgen Floege
Rebekka K. Schneider
Julio Saez-Rodriguez
Benjamin S. Freedman
Rafael Kramann
Developmental Biology
Internal Medicine
Hematology
Cell biology
Source :
Nature Genetics, 54(11), 1690-1701. Nature Publishing Group, Nature Genetics, 54, 1690-1701, Nature Genetics, 54, 11, pp. 1690-1701
Publication Year :
2022

Abstract

Item does not contain fulltext Adult kidney organoids have been described as strictly tubular epithelia and termed tubuloids. While the cellular origin of tubuloids has remained elusive, here we report that they originate from a distinct CD24(+) epithelial subpopulation. Long-term-cultured CD24(+) cell-derived tubuloids represent a functional human kidney tubule. We show that kidney tubuloids can be used to model the most common inherited kidney disease, namely autosomal dominant polycystic kidney disease (ADPKD), reconstituting the phenotypic hallmark of this disease with cyst formation. Single-cell RNA sequencing of CRISPR-Cas9 gene-edited PKD1- and PKD2-knockout tubuloids and human ADPKD and control tissue shows similarities in upregulation of disease-driving genes. Furthermore, in a proof of concept, we demonstrate that tolvaptan, the only approved drug for ADPKD, has a significant effect on cyst size in tubuloids but no effect on a pluripotent stem cell-derived model. Thus, tubuloids are derived from a tubular epithelial subpopulation and represent an advanced system for ADPKD disease modeling.

Details

ISSN :
10614036
Volume :
54
Database :
OpenAIRE
Journal :
Nature Genetics
Accession number :
edsair.doi.dedup.....edc7f4f24db25c7f607da4dcacac199a