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Long‐term expanding human airway organoids for disease modeling
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Abstract
Abstract Organoids are self-organizing 3D structures grown from stem cells that recapitulate essential aspects of organ structure and function. Here we describe a method to establish long-term-expanding human airway organoids from broncho-alveolar biopsies or lavage material. The pseudostratified airway organoid epithelium consists of basal cells, functional multi-ciliated cells, mucus-producing goblet cells, and CC10-secreting club cells. Airway organoids derived from cystic fibrosis (CF) patients allow assessment of CFTR function in an organoid swelling assay. Organoid culture conditions also allow gene editing as well as the derivation of various types of lung cancer organoids. Respiratory syncytial virus (RSV) infection recapitulated central disease features and dramatically increases organoid cell motility, found to be driven by the non-structural viral NS2 protein. We conclude that human airway organoids represent versatile models for the in vitro study of hereditary, malignant, and infectious pulmonary disease.
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![Figure 1 Characterization of airway organoids Transmission electron micrograph of an AO cross section showing the polarized, pseudostratified epithelium containing basal, secretory, brush, and multi‐ciliated cells. Details display apical microvilli and cilia with their characteristic microtubule structure. Scale bars equal 10 μm, 2 μm, and 500 nm. See also Appendix Fig S1A and [Link], [Link], [Link].Scanning electron micrograph of a partially opened AO visualizing its 3D architecture, as well as basal and apical ultrastructure. Details display apical surfaces of secretory and multi‐ciliated cells. Scale bars equal 50 μm (overview) and 2 μm (details).Immunofluorescent sections of AOs showing markers for basal cells (KRT5), cilia (acetylated α‐tubulin), secretory cells (MUC5AC), and club cells (SCGB1A1). KRT5 is present exclusively in basally localized cells, while cilia, MUC5AC, and SCGB1A1 localize luminally. Counterstained is the actin cytoskeleton (red). Scale bar equals 10 μm. See Appendix Fig S1B for IHC images.Luminescent cell viability assay comparing proliferative capacity of two independently generated AO lines at early, mid‐, and late passage numbers. Per group, 3,000 cells were seeded and their expansion was measured at the indicated time points. Error bars represent standard deviations of technical triplicates.Quantification of cell types in AO lines at early and late passage (P5 vs. P19) as determined by immunofluorescence using the indicated markers. The number of basal cells, club cells, ciliated cells, and secretory cells does not differ significantly between early and late passage AOs. Data shown are representatives of at least three independent experiments. Error bars indicate s.e.m.](/paper-figures/28a6d0455e59434fa09e7294c3001008/longterm-expanding-human-airway-organoids-for-disease-modeling-figure-1.jpg)



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“Infection of murine gastric organoids by H. pylori showed increased cytosolic β-catenin levels induced by bacterially originated CagA, which led to increased proliferation in infected organoids179.”
From Organoids (2022) · cites this paper as [179]
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,508
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587
dbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502
In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2
Vassilev, L. T., Vu, B. T., Graves, B., Carvajal, D., Podlaski, F., Filipovic, Z., Kong, N., Kammlott, U., Lukacs, C., Klein, C., et al. (2004) · Science · doi:10.1126/science.1092472 · Cited by 4,661
Webb, A. K. (2006) · Cited by 4,369
Sato, T., Stange, D. E., Ferrante, M., Vries, R. G. J., van Es, J. H., van den Brink, S., van Houdt, W. J., Pronk, A., van Gorp, J., Siersema, P. D., et al. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.07.050 · Cited by 3,753
Self-citationOrganoid Models and Applications in Biomedical Research
Xinaris, C., Brizi, V., & Remuzzi, G. (2015) · The Nephron journals/Nephron journals · doi:10.1159/000433566 · Cited by 3,519
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Kim, J., Koo, B.-K., & Knoblich, J. A. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0259-3 · Cited by 2,187
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Lamers, M. M., Beumer, J., van der Vaart, J., Knoops, K., Puschhof, J., Breugem, T. I., Ravelli, R. B. G., Paul van Schayck, J., Mykytyn, A. Z., Duimel, H. Q., et al. (2020) · Science · doi:10.1126/science.abc1669 · Cited by 1,573
Self-citationHofer, M., & Lutolf, M. P. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00279-y · Cited by 1,184
Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity
Meng, B., Abdullahi, A., Ferreira, I. A. T. M., Goonawardane, N., Saito, A., Kimura, I., Yamasoba, D., Gerber, P. P., Fatihi, S., Rathore, S., et al. (2022) · Nature · doi:10.1038/s41586-022-04474-x · Cited by 1,146
Dijkstra, K. K., Cattaneo, C. M., Weeber, F., Chalabi, M., van de Haar, J., Fanchi, L. F., Slagter, M., van der Velden, D. L., Kaing, S., Kelderman, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.009 · Cited by 1,135
“To select for tumor organoids, we applied the MDM-2 inhibitor Nutlin-3a to selectively grow out p53 mutant cells of this sample, resulting in a pure tumor organoid population (Sachs et al., 2018).”
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Metadata
- Authors
- Sachs, N., Papaspyropoulos, A., Zomer‐van Ommen, D. D., Heo, I., Böttinger, L., Klay, D., Weeber, F., Huelsz‐Prince, G., Iakobachvili, N., Amatngalim, G. D., de Ligt, J., van Hoeck, A., Proost, N., Viveen, M. C., Lyubimova, A., Teeven, L., Derakhshan, S., Korving, J., Begthel, H., Dekkers, J. F., Kumawat, K., Ramos, E., van Oosterhout, M. F., Offerhaus, G. J., Wiener, D. J., Olimpio, E. P., Dijkstra, K. K., Smit, E. F., van der Linden, M., Jaksani, S., van de Ven, M., Jonkers, J., Rios, A. C., Voest, E. E., van Moorsel, C. H., van der Ent, C. K., Cuppen, E., van Oudenaarden, A., Coenjaerts, F. E., Meyaard, L., Bont, L. J., Peters, P. J., Tans, S. J., van Zon, J. S., Boj, S. F., Vries, R. G., Beekman, J. M., & Clevers, H.
- Affiliations
- University Medical Center Utrecht (NL)
- St. Antonius Ziekenhuis (NL)
- The Netherlands Cancer Institute (NL)
- Institute for Atomic and Molecular Physics (NL)
- Maastricht University (NL)
- Hubrecht Institute for Developmental Biology and Stem Cell Research (NL)
- Princess Máxima Center (NL)
- Royal Netherlands Academy of Arts and Sciences (NL)
- Corresponding author
- Clevers, Hans
- ORCID
- Sachs, Norman
- Papaspyropoulos, Angelos
- Klay, Dymph
- Weeber, Fleur
- Iakobachvili, Nino
- Amatngalim, Gimano D
- de Ligt, Joep
- van Hoeck, Arne
- Proost, Natalie
- Begthel, Harry
- Ramos, Emilio
- Offerhaus, G Johan
- Wiener, Dominique J
- Dijkstra, Krijn K
- Smit, Egbert F
- Jonkers, Jos
- Rios, Anne C
- Voest, Emile E
- Cuppen, Edwin
- Coenjaerts, Frank E
- Meyaard, Linde
- Bont, Louis J
- Peters, Peter J
- Tans, Sander J
- Boj, Sylvia F
- Vries, Robert G
- Beekman, Jeffrey M
- Clevers, Hans
- Venue
- The EMBO Journal
- Published
- 2019-01-14
- Volume
- 38
- Issue
- 4
- ISSN
- 0261-4189 (ISSN-L)
- 1460-2075
- PMC
- PMC6376275
- OpenAlex
- W2799736418
- Cited by
- 1,082
- References
- 82
- Citations by year
- 2026: 126 · 2025: 178 · 2024: 137 · 2023: 159 · 2022: 157 · 2021: 182 · 2020: 104 · 2019: 30
- FWCI
- 86.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The EMBO Journal (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by-nc-nd)
- KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion, other-oa)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (publishedVersion, other-oa)
- AMOLF Institutional Repository (AMOLF) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion, cc-by-nc-nd)
- Utrecht University Repository (Utrecht University) (submittedVersion, cc-by-nc-nd)
- Funders
- ZonMw (114021012, 40‐00812‐98‐14103, 91615182)
- Human Frontier Science Program (CDA00076/2014‐C)
- Prof. Dr. Jaap Swieringa Foundation (stAH‐CvM‐HI‐HC)
- Dutch Cystic Fibrosis Society (HIT‐CF)
- SU2C (SU2C‐AACR‐DT‐12‐14)
- KWF Kankerbestrijding (2014‐7006)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (680‐47‐529, 834.11.002)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cystic Fibrosis Research Advances
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Neonatal Respiratory Health Research
- Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
- Keywords
- airway organoids, cystic fibrosis, CFTR function, lung cancer, metastasis, respiratory syncytial virus, NS2 protein, neutrophil recruitment, disease modeling, Clara cells, ciliated cells
- MeSH terms
- Animals, Carcinoma, Non-Small-Cell Lung, Cells, Cultured, Cystic Fibrosis, Disease Models, Animal, Drug Screening Assays, Antitumor, Epithelial Cells, Female, Humans, Lung Neoplasms, Male, Organ Culture Techniques, Organoids, Respiratory Syncytial Viruses, Respiratory System, Mice, SCID, Mice, Inbred NOD, Respiratory Syncytial Virus Infections, Cystic Fibrosis Transmembrane Conductance Regulator, Xenograft Model Antitumor Assays, Mice
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