Title |
Long-term expansion of alveolar stem cells derived from human iPS cells in organoids
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Published in |
Nature Methods, October 2017
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DOI | 10.1038/nmeth.4448 |
Pubmed ID | |
Authors |
Yuki Yamamoto, Shimpei Gotoh, Yohei Korogi, Masahide Seki, Satoshi Konishi, Satoshi Ikeo, Naoyuki Sone, Tadao Nagasaki, Hisako Matsumoto, Shigeo Muro, Isao Ito, Toyohiro Hirai, Takashi Kohno, Yutaka Suzuki, Michiaki Mishima |
Abstract |
The stable expansion of tissue-specific stem cells in vitro has contributed to research on several organs. Alveolar epithelial type II (AT2) cells function as tissue stem cells in the lung, but robust models for studying human AT2 cells are lacking. Here we report a method for the efficient generation and long-term expansion of alveolar organoids (AOs) harboring SFTPC(+) alveolar stem cells derived from human induced pluripotent stem cells (hiPSCs). hiPSC-derived SFTPC(+) cells self-renewed, with transcriptomes and morphology consistent with those of AT2 cells, and were able to differentiate into alveolar epithelial type I (AT1)-like cells. Single-cell RNA-seq of SFTPC(+) cells and their progenitors demonstrated that their differentiation process and cellular heterogeneity resembled those of developing AT2 cells in vivo. AOs were applicable to drug toxicology studies recapitulating AT2-cell-specific phenotypes. Our methods can help scientists overcome the limitations of current approaches to the modeling of human alveoli and should be useful for disease modeling and regenerative medicine. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 6 | 12% |
United States | 6 | 12% |
United Kingdom | 2 | 4% |
France | 1 | 2% |
Unknown | 35 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 43 | 86% |
Scientists | 4 | 8% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 261 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 19% |
Student > Ph. D. Student | 47 | 18% |
Student > Master | 29 | 11% |
Student > Bachelor | 21 | 8% |
Other | 14 | 5% |
Other | 36 | 14% |
Unknown | 65 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 62 | 24% |
Agricultural and Biological Sciences | 32 | 12% |
Medicine and Dentistry | 24 | 9% |
Engineering | 15 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 12 | 5% |
Other | 39 | 15% |
Unknown | 77 | 30% |