MISC

査読有り
2008年9月

Analysis and synthesis of high-amplitude Cis-elements in the mammalian circadian clock

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
  • Yuichi Kumaki
  • ,
  • Maki Ukai-Tadenuma
  • ,
  • Ken-ichiro D. Uno
  • ,
  • Junko Nishio
  • ,
  • Koh-hei Masumoto
  • ,
  • Mamoru Nagano
  • ,
  • Takashi Komori
  • ,
  • Yasufumi Shigeyoshi
  • ,
  • John B. Hogenesch
  • ,
  • Hiroki R. Ueda

105
39
開始ページ
14946
終了ページ
14951
記述言語
英語
掲載種別
DOI
10.1073/pnas.0802636105
出版者・発行元
NATL ACAD SCIENCES

Mammalian circadian clocks consist of regulatory loops mediated by Clock/Bmal1-binding elements, DBP/E4BP4 binding elements, and RevErbA/ROR binding elements. As a step toward system-level understanding of the dynamic transcriptional regulation of the oscillator, we constructed and used a mammalian promoter/enhancer database (http://promoter.cdb.riken.jp/) with computational models of the Clock/Bmal1-binding elements, DBP/E4BP4 binding elements, and RevErbA/ROR binding elements to predict new targets of the clock and subsequently validated these targets at the level of the cell and organism. We further demonstrated the predictive nature of these models by generating and testing synthetic regulatory elements that do not occur in nature and showed that these elements produced high-amplitude circadian gene regulation. Biochemical experiments to characterize these synthetic elements revealed the importance of the affinity balance between transactivators and transrepressors in generating high-amplitude circadian transcriptional output. These results highlight the power of comparative genomics approaches for system-level identification and knowledge-based design of dynamic regulatory circuits.

リンク情報
DOI
https://doi.org/10.1073/pnas.0802636105
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000261914300024&DestApp=WOS_CPL
ID情報
  • DOI : 10.1073/pnas.0802636105
  • ISSN : 0027-8424
  • Web of Science ID : WOS:000261914300024

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