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Feb, 2015

Cell-cycle fate-monitoring distinguishes individual chemosensitive and chemoresistant cancer cells in drug-treated heterogeneous populations demonstrated by real-time FUCCI imaging

CELL CYCLE
  • Shinji Miwa
  • Shuya Yano
  • Hiroaki Kimura
  • Mako Yamamoto
  • Makoto Toneri
  • Yasunori Matsumoto
  • Fuminari Uehara
  • Yukihiko Hiroshima
  • Takashi Murakami
  • Katsuhiro Hayashi
  • Norio Yamamoto
  • Michael Bouvet
  • Toshiyoshi Fujiwara
  • Hiroyuki Tsuchiya
  • Robert M. Hoffman
  • Display all

Volume
14
Number
4
First page
621
Last page
629
Language
English
Publishing type
DOI
10.4161/15384101.2014.991604
Publisher
TAYLOR & FRANCIS INC

Essentially every population of cancer cells within a tumor is heterogeneous, especially with regard to chemosensitivity and resistance. In the present study, we utilized the fluorescence ubiquitination-based cell cycle indicator (FUCCI) imaging system to investigate the correlation between cell-cycle behavior and apoptosis after treatment of cancer cells with chemotherapeutic drugs. HeLa cells expressing FUCCI were treated with doxorubicin (DOX) (5M) or cisplatinum (CDDP) (5M) for 3h. Cell-cycle progression and apoptosis were monitored by time-lapse FUCCI imaging for 72h. Time-lapse FUCCI imaging demonstrated that both DOX and CDDP could induce cell cycle arrest in S/G(2)/M in almost all the cells, but a subpopulation of the cells could escape the block and undergo mitosis. The subpopulation which went through mitosis subsequently underwent apoptosis, while the cells arrested in S/G(2)/M survived. The present results demonstrate that chemoresistant cells can be readily identified in a heterogeneous population of cancer cells by S/G(2)/M arrest, which can serve in future studies as a visible target for novel agents that kill cell-cycle-arrested cells.

Link information
DOI
https://doi.org/10.4161/15384101.2014.991604
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000350137700024&DestApp=WOS_CPL
ID information
  • DOI : 10.4161/15384101.2014.991604
  • ISSN : 1538-4101
  • eISSN : 1551-4005
  • Web of Science ID : WOS:000350137700024

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