論文

査読有り 国際誌
2014年3月11日

Isolation of human induced pluripotent stem cell-derived dopaminergic progenitors by cell sorting for successful transplantation.

Stem cell reports
  • Daisuke Doi
  • ,
  • Bumpei Samata
  • ,
  • Mitsuko Katsukawa
  • ,
  • Tetsuhiro Kikuchi
  • ,
  • Asuka Morizane
  • ,
  • Yuichi Ono
  • ,
  • Kiyotoshi Sekiguchi
  • ,
  • Masato Nakagawa
  • ,
  • Malin Parmar
  • ,
  • Jun Takahashi

2
3
開始ページ
337
終了ページ
50
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.stemcr.2014.01.013
出版者・発行元
CELL PRESS

Human induced pluripotent stem cells (iPSCs) can provide a promising source of midbrain dopaminergic (DA) neurons for cell replacement therapy for Parkinson's disease. However, iPSC-derived donor cells inevitably contain tumorigenic or inappropriate cells. Here, we show that human iPSC-derived DA progenitor cells can be efficiently isolated by cell sorting using a floor plate marker, CORIN. We induced DA neurons using scalable culture conditions on human laminin fragment, and the sorted CORIN(+) cells expressed the midbrain DA progenitor markers, FOXA2 and LMX1A. When transplanted into 6-OHDA-lesioned rats, the CORIN(+) cells survived and differentiated into midbrain DA neurons in vivo, resulting in significant improvement of the motor behavior, without tumor formation. In particular, the CORIN(+) cells in a NURR1(+) cell-dominant stage exhibited the best survival and function as DA neurons. Our method is a favorable strategy in terms of scalability, safety, and efficiency and may be advantageous for clinical application.

リンク情報
DOI
https://doi.org/10.1016/j.stemcr.2014.01.013
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/24672756
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964289
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000336647700009&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.stemcr.2014.01.013
  • ISSN : 2213-6711
  • PubMed ID : 24672756
  • PubMed Central 記事ID : PMC3964289
  • Web of Science ID : WOS:000336647700009

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