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Topology of mammalian developmental enhancers and their regulatory landscapes

Author

Listed:
  • Wouter de Laat

    (Hubrecht Institute-KNAW and University Medical Center Utrecht)

  • Denis Duboule

    (School of Life Sciences, Ecole Polytechnique Fédérale
    University of Geneva)

Abstract

How a complex animal can arise from a fertilized egg is one of the oldest and most fascinating questions of biology, the answer to which is encoded in the genome. Body shape and organ development, and their integration into a functional organism all depend on the precise expression of genes in space and time. The orchestration of transcription relies mostly on surrounding control sequences such as enhancers, millions of which form complex regulatory landscapes in the non-coding genome. Recent research shows that high-order chromosome structures make an important contribution to enhancer functionality by triggering their physical interactions with target genes.

Suggested Citation

  • Wouter de Laat & Denis Duboule, 2013. "Topology of mammalian developmental enhancers and their regulatory landscapes," Nature, Nature, vol. 502(7472), pages 499-506, October.
    • Handle: RePEc:nat:nature:v:502:y:2013:i:7472:d:10.1038_nature12753
    DOI: 10.1038/nature12753
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    Cited by:

    1. François Serra & Andrea Nieto-Aliseda & Lucía Fanlo-Escudero & Llorenç Rovirosa & Mónica Cabrera-Pasadas & Aleksey Lazarenkov & Blanca Urmeneta & Alvaro Alcalde-Merino & Emanuele M. Nola & Andrei L. O, 2024. "p53 rapidly restructures 3D chromatin organization to trigger a transcriptional response," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    2. Muran Xiao & Shinji Kondo & Masaki Nomura & Shinichiro Kato & Koutarou Nishimura & Weijia Zang & Yifan Zhang & Tomohiro Akashi & Aaron Viny & Tsukasa Shigehiro & Tomokatsu Ikawa & Hiromi Yamazaki & Mi, 2023. "BRD9 determines the cell fate of hematopoietic stem cells by regulating chromatin state," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    3. Pau Farré & Eldon Emberly, 2018. "A maximum-entropy model for predicting chromatin contacts," PLOS Computational Biology, Public Library of Science, vol. 14(2), pages 1-16, February.
    4. Manyu Du & Fan Zou & Yi Li & Yujie Yan & Lu Bai, 2022. "Chemically Induced Chromosomal Interaction (CICI) method to study chromosome dynamics and its biological roles," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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