Tubuloids derived from human adult kidney and urine for personalized disease modeling

Publication date

2019-03-04

Authors

Schutgens, Frans
Rookmaaker, Maarten B
Margaritis, Thanasis
Rios, Anne
Ammerlaan, Carola
Jansen, JitskeISNI 0000000506013838
Gijzen, Linda
Vormann, Marianne
Vonk, Annelotte
Viveen, Marco

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

Adult stem cell-derived organoids are three-dimensional epithelial structures that recapitulate fundamental aspects of their organ of origin. We describe conditions for the long-term growth of primary kidney tubular epithelial organoids, or 'tubuloids'. The cultures are established from human and mouse kidney tissue and can be expanded for at least 20 passages (>6 months) while retaining a normal number of chromosomes. In addition, cultures can be established from human urine. Human tubuloids represent proximal as well as distal nephron segments, as evidenced by gene expression, immunofluorescence and tubular functional analyses. We apply tubuloids to model infectious, malignant and hereditary kidney diseases in a personalized fashion. BK virus infection of tubuloids recapitulates in vivo phenomena. Tubuloids are established from Wilms tumors. Kidney tubuloids derived from the urine of a subject with cystic fibrosis allow ex vivo assessment of treatment efficacy. Finally, tubuloids cultured on microfluidic organ-on-a-chip plates adopt a tubular conformation and display active (trans-)epithelial transport function.

Keywords

Taverne, SDG 3 - Good Health and Well-being

Citation

Schutgens, F, Rookmaaker, M B, Margaritis, T, Rios, A, Ammerlaan, C, Jansen, J, Gijzen, L, Vormann, M, Vonk, A, Viveen, M, Yengej, F Y, Derakhshan, S, de Winter-de Groot, K M, Artegiani, B, van Boxtel, R, Cuppen, E, Hendrickx, A P A, van den Heuvel-Eibrink, M M, Heitzer, E, Lanz, H, Beekman, J, Murk, J-L, Masereeuw, R, Holstege, F, Drost, J, Verhaar, M C & Clevers, H 2019, 'Tubuloids derived from human adult kidney and urine for personalized disease modeling', Nature Biotechnology, vol. 37, no. 3, pp. 303-313. https://doi.org/10.1038/s41587-019-0048-8