論文

査読有り 筆頭著者
2016年9月

MicroRNA-302 switch to identify and eliminate undifferentiated human pluripotent stem cells

SCIENTIFIC REPORTS
  • Shota Katayama+(+Co-First author)
  • ,
  • Callum J. C. Parr+
  • ,
  • Kenji Miki
  • ,
  • Yi Kuang
  • ,
  • Yoshinori Yoshida
  • ,
  • Asuka Morizane
  • ,
  • Jun Takahashi
  • ,
  • Shinya Yamanaka
  • ,
  • Hirohide Saito

6
開始ページ
32532
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/srep32532
出版者・発行元
NATURE PUBLISHING GROUP

The efficiency of pluripotent stem cell differentiation is highly variable, often resulting in heterogeneous populations that contain undifferentiated cells. Here we developed a sensitive, target-specific, and general method for removing undesired cells before transplantation. MicroRNA-302a-5p (miR-302a) is highly and specifically expressed in human pluripotent stem cells and gradually decreases to basal levels during differentiation. We synthesized a new RNA tool, miR-switch, as a live-cell reporter mRNA for miR-302a activity that can specifically detect human induced pluripotent stem cells (hiPSCs) down to a spiked level of 0.05% of hiPSCs in a heterogeneous population and can prevent teratoma formation in an in vivo tumorigenicity assay. Automated and selective hiPSC-elimination was achieved by controlling puromycin resistance using the miR-302a switch. Our system uniquely provides sensitive detection of pluripotent stem cells and partially differentiated cells. In addition to its ability to eliminate undifferentiated cells, miR-302a switch also holds great potential in investigating the dynamics of differentiation and/or reprograming of live-cells based on intracellular information.

Web of Science ® 被引用回数 : 55

リンク情報
DOI
https://doi.org/10.1038/srep32532
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/27608814
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000382778700001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1038/srep32532
  • ISSN : 2045-2322
  • PubMed ID : 27608814
  • Web of Science ID : WOS:000382778700001

エクスポート
BibTeX RIS