論文

査読有り
2016年11月

Non-label immune cell state prediction using Raman spectroscopy

SCIENTIFIC REPORTS
  • Taro Ichimura
  • ,
  • Liang-da Chiu
  • ,
  • Katsumasa Fujita
  • ,
  • Hiroaki Machiyama
  • ,
  • Tomoyuki Yamaguchi
  • ,
  • Tomonobu M. Watanabe
  • ,
  • Hideaki Fujita

6
開始ページ
37562
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/srep37562
出版者・発行元
NATURE PUBLISHING GROUP

The acquired immune system, mainly composed of T and B lymphocytes, plays a key role in protecting the host from infection. It is important and technically challenging to identify cell types and their activation status in living and intact immune cells, without staining or killing the cells. Using Raman spectroscopy, we succeeded in discriminating between living T cells and B cells, and visualized the activation status of living T cells without labeling. Although the Raman spectra of T cells and B cells were similar, they could be distinguished by discriminant analysis of the principal components. Raman spectra of activated T cells with anti-CD3 and anti-CD28 antibodies largely differed compared to that of naive T cells, enabling the prediction of T cell activation status at a single cell level. Our analysis revealed that the spectra of individual T cells gradually change from the pattern of naive T cells to that of activated T cells during the first 24 h of activation, indicating that changes in Raman spectra reflect slow changes rather than rapid changes in cell state during activation. Our results indicate that the Raman spectrum enables the detection of dynamic changes in individual cell state scattered in a heterogeneous population.

リンク情報
DOI
https://doi.org/10.1038/srep37562
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/27876845
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000388348900001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1038/srep37562
  • ISSN : 2045-2322
  • PubMed ID : 27876845
  • Web of Science ID : WOS:000388348900001

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