論文

査読有り
2017年3月

Simple Derivation of Spinal Motor Neurons from ESCs/iPSCs Using Sendai Virus Vectors

MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT
  • Kazuya Goto
  • Keiko Imamura
  • Kenichi Komatsu
  • Kohnosuke Mitani
  • Kazuhiro Aiba
  • Norio Nakatsuji
  • Makoto Inoue
  • Akihiro Kawata
  • Hirofumi Yamashita
  • Ryosuke Takahashi
  • Haruhisa Inoue
  • 全て表示

4
開始ページ
115
終了ページ
125
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.omtm.2016.12.007
出版者・発行元
CELL PRESS

Amyotrophic lateral sclerosis (ALS) is a progressive and fatal degenerative disorder of motor neurons (MNs). Embryonic stem cells (ESCs)/induced pluripotent stem cells (iPSCs) now help us to understand the pathomechanisms of ALS via disease modeling. Various methods to differentiate ESCs/iPSCs into MNs by the addition of signaling molecules have been reported. However, classical methods require multiple steps, and newer simple methods using the transduction of transcription factors run the risk of genomic integration of the vector genes. Heterogeneity of the expression levels of the transcription factors also remains an issue. Here we describe a novel approach for differentiating human and mouse ESCs/iPSCs into MNs using a single Sendai virus vector encoding three transcription factors, LIM/homeobox protein 3, neurogenin 2, and islet-1, which are integration free. This single-vectormethod, generatingHB9-positive cells on day 2 from human iPSCs, increases the ratio of MNs to neurons compared to the use of three separate Sendai virus vectors. In addition, the MNs derived via this method from iPSCs of ALS patients and model mice display disease phenotypes. This simple approach significantly reduces the efforts required to generate MNs, and it provides a useful tool for disease modeling.

リンク情報
DOI
https://doi.org/10.1016/j.omtm.2016.12.007
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28344997
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000397454700011&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.omtm.2016.12.007
  • ISSN : 2329-0501
  • PubMed ID : 28344997
  • Web of Science ID : WOS:000397454700011

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