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Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics

Single-cell RNA sequencing is a valuable tool for dissecting cellular heterogeneity in complex systems. However, it is still challenging to estimate the proliferation and differentiation potentials of subpopulations within dormant tissue stem cells. Here, we established a new single-cell analysis me...

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Autores principales: Fujimura, Takashi, Enomoto, Yasunori, Katsura, Hiroaki, Ogawa, Taisaku, Baba, Saori, Ogata, Akira, Yamaoka, Akira, Shiroguchi, Katsuyuki, Morimoto, Mitsuru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427966/
https://www.ncbi.nlm.nih.gov/pubmed/37468433
http://dx.doi.org/10.1093/stmcls/sxad044
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author Fujimura, Takashi
Enomoto, Yasunori
Katsura, Hiroaki
Ogawa, Taisaku
Baba, Saori
Ogata, Akira
Yamaoka, Akira
Shiroguchi, Katsuyuki
Morimoto, Mitsuru
author_facet Fujimura, Takashi
Enomoto, Yasunori
Katsura, Hiroaki
Ogawa, Taisaku
Baba, Saori
Ogata, Akira
Yamaoka, Akira
Shiroguchi, Katsuyuki
Morimoto, Mitsuru
author_sort Fujimura, Takashi
collection PubMed
description Single-cell RNA sequencing is a valuable tool for dissecting cellular heterogeneity in complex systems. However, it is still challenging to estimate the proliferation and differentiation potentials of subpopulations within dormant tissue stem cells. Here, we established a new single-cell analysis method for profiling the organoid-forming capacity and differentiation potential of tissue stem cells to disclose stem cell subpopulations by integrating single-cell morphometrics, organoid-forming assay, and RNA sequencing, a method named scMORN. To explore lung epithelial stem cells, we initially developed feeder-free culture system, which could expand all major lung stem cells, including basal, club, and alveolar type 2 (AT2) cells, and found that club cells contained a subpopulation, which showed better survival rate and high proliferation capacity and could differentiate into alveolar cells. Using the scMORN method, we discovered a club cell subpopulation named Muc5b(+) and large club (ML-club) cells that efficiently formed organoids than other club or AT2 cells in our feeder-free organoid culture and differentiated into alveolar cells in vitro. Single-cell transcriptome profiling and immunohistochemical analysis revealed that ML-club cells localized at the intrapulmonary proximal airway and distinct from known subpopulations of club cells such as BASCs. Furthermore, we identified CD14 as a cell surface antigen of ML-club cells and showed that purified CD14(+) club cells engrafted into injured mouse lungs had better engraftment rate and expansion than other major lung stem cells, reflecting the observations in organoid culture systems. The scMORN method could be adapted to different stem cell tissues to discover useful stem-cell subpopulations.
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spelling pubmed-104279662023-08-17 Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics Fujimura, Takashi Enomoto, Yasunori Katsura, Hiroaki Ogawa, Taisaku Baba, Saori Ogata, Akira Yamaoka, Akira Shiroguchi, Katsuyuki Morimoto, Mitsuru Stem Cells Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics Single-cell RNA sequencing is a valuable tool for dissecting cellular heterogeneity in complex systems. However, it is still challenging to estimate the proliferation and differentiation potentials of subpopulations within dormant tissue stem cells. Here, we established a new single-cell analysis method for profiling the organoid-forming capacity and differentiation potential of tissue stem cells to disclose stem cell subpopulations by integrating single-cell morphometrics, organoid-forming assay, and RNA sequencing, a method named scMORN. To explore lung epithelial stem cells, we initially developed feeder-free culture system, which could expand all major lung stem cells, including basal, club, and alveolar type 2 (AT2) cells, and found that club cells contained a subpopulation, which showed better survival rate and high proliferation capacity and could differentiate into alveolar cells. Using the scMORN method, we discovered a club cell subpopulation named Muc5b(+) and large club (ML-club) cells that efficiently formed organoids than other club or AT2 cells in our feeder-free organoid culture and differentiated into alveolar cells in vitro. Single-cell transcriptome profiling and immunohistochemical analysis revealed that ML-club cells localized at the intrapulmonary proximal airway and distinct from known subpopulations of club cells such as BASCs. Furthermore, we identified CD14 as a cell surface antigen of ML-club cells and showed that purified CD14(+) club cells engrafted into injured mouse lungs had better engraftment rate and expansion than other major lung stem cells, reflecting the observations in organoid culture systems. The scMORN method could be adapted to different stem cell tissues to discover useful stem-cell subpopulations. Oxford University Press 2023-07-20 /pmc/articles/PMC10427966/ /pubmed/37468433 http://dx.doi.org/10.1093/stmcls/sxad044 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.
spellingShingle Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics
Fujimura, Takashi
Enomoto, Yasunori
Katsura, Hiroaki
Ogawa, Taisaku
Baba, Saori
Ogata, Akira
Yamaoka, Akira
Shiroguchi, Katsuyuki
Morimoto, Mitsuru
Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics
title Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics
title_full Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics
title_fullStr Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics
title_full_unstemmed Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics
title_short Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics
title_sort identifying a lung stem cell subpopulation by combining single-cell morphometrics, organoid culture, and transcriptomics
topic Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427966/
https://www.ncbi.nlm.nih.gov/pubmed/37468433
http://dx.doi.org/10.1093/stmcls/sxad044
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