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An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

Research output: Contribution to journalArticle

  • Timothy Ravasi
  • Harukazu Suzuki
  • Carlo Vittorio Cannistraci
  • Shintaro Katayama
  • Vladimir B. Bajic
  • Kai Tan
  • Altuna Akalin
  • Sebastian Schmeier
  • Mutsumi Kanamori-Katayama
  • Nicolas Bertin
  • Piero Carninci
  • Carsten O. Daub
  • Alistair R. R. Forrest
  • Julian Gough
  • Sean Grimmond
  • Jung-Hoon Han
  • Takehiro Hashimoto
  • Winston Hide
  • Oliver Hofmann
  • A. Kamburov
  • M. Kaur
  • Hideya Kawaji
  • Atsutaka Kubosaki
  • Timo Lassmann
  • Erik van Nimwegen
  • C. R. MacPherson
  • Chihiro Ogawa
  • A. Radovanovic
  • A. Schwartz
  • Rohan D. Teasdale
  • Jesper Tegner
  • Boris Lenhard
  • Sarah A. Teichmann
  • Takahiro Arakawa
  • Noriko Ninomiya
  • Kayoko Murakami
  • Michihira Tagami
  • Shiro Fukuda
  • Kengo Imamura
  • Chikatoshi Kai
  • Ryoko Ishihara
  • Yayoi Kitazume
  • Jun Kawai
  • Trey Ideker
  • Yoshihide Hayashizaki

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    Rights statement: Published in final edited form as: Cell. 2010 March 5; 140(5): 744–752. doi:10.1016/j.cell.2010.01.044

    Submitted manuscript, 2.2 MB, PDF document

Original languageEnglish
Pages (from-to)744-752
Number of pages9
Issue number5
Publication statusPublished - 5 Mar 2010


Combinatorial interactions among transcription factors are critical to directing tissue-specific gene expression. To build a global atlas of these combinations, we have screened for physical interactions among the majority of human and mouse DNA-binding transcription factors (TFs). The complete networks contain 762 human and 877 mouse interactions. Analysis of the networks reveals that highly connected TFs are broadly expressed across tissues, and that roughly half of the measured interactions are conserved between mouse and human. The data highlight the importance of TF combinations for determining cell fate, and they lead to the identification of a SMAD3/FLI1 complex expressed during development of immunity. The availability of large TF combinatorial networks in both human and mouse will provide many opportunities to study gene regulation, tissue differentiation, and mammalian evolution.

    Research areas

  • DNA

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