論文

査読有り 筆頭著者 責任著者
2017年6月

In Vitro Experimental Model for the Long-Term Analysis of Cellular Dynamics During Bronchial Tree Development from Lung Epithelial Cells

TISSUE ENGINEERING PART C-METHODS
  • Masaya Hagiwara
  • ,
  • Naomichi Maruta
  • ,
  • Moegi Marumoto

23
6
開始ページ
323
終了ページ
332
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1089/ten.tec.2017.0126
出版者・発行元
MARY ANN LIEBERT, INC

Lung branching morphogenesis has been studied for decades, but the underlying developmental mechanisms are still not fully understood. Cellular movements dynamically change during the branching process, but it is difficult to observe long-term cellular dynamics by in vivo or tissue culture experiments. Therefore, developing an in vitro experimental model of bronchial tree would provide an essential tool for developmental biology, pathology, and systems biology. In this study, we succeeded in reconstructing a bronchial tree in vitro by using primary human bronchial epithelial cells. A high concentration gradient of bronchial epithelial cells was required for branching initiation, whereas homogeneously distributed endothelial cells induced the formation of successive branches. Subsequently, the branches grew in size to the order of millimeter. The developed model contains only two types of cells and it facilitates the analysis of lung branching morphogenesis. By taking advantage of our experimental model, we carried out long-term time-lapse observations, which revealed self-assembly, collective migration with leader cells, rotational motion, and spiral motion of epithelial cells in each developmental event. Mathematical simulation was also carried out to analyze the self-assembly process and it revealed simple rules that govern cellular dynamics. Our experimental model has provided many new insights into lung development and it has the potential to accelerate the study of developmental mechanisms, pattern formation, left-right asymmetry, and disease pathogenesis of the human lung.

リンク情報
DOI
https://doi.org/10.1089/ten.tec.2017.0126
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000403546300001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1089/ten.tec.2017.0126
  • ISSN : 1937-3384
  • eISSN : 1937-3392
  • Web of Science ID : WOS:000403546300001

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