IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v6y2015i1d10.1038_ncomms7178.html
   My bibliography  Save this article

Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci

Author

Listed:
  • Roland Jäger

    (The Institute of Cancer Research
    Present address: CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, A-1090 Vienna, Austria)

  • Gabriele Migliorini

    (The Institute of Cancer Research)

  • Marc Henrion

    (The Institute of Cancer Research)

  • Radhika Kandaswamy

    (The Institute of Cancer Research)

  • Helen E. Speedy

    (The Institute of Cancer Research)

  • Andreas Heindl

    (The Institute of Cancer Research)

  • Nicola Whiffin

    (The Institute of Cancer Research)

  • Maria J. Carnicer

    (Haemato-Oncology Research Unit, The Institute of Cancer Research)

  • Laura Broome

    (Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research)

  • Nicola Dryden

    (Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research)

  • Takashi Nagano

    (Nuclear Dynamics Programme, The Babraham Institute)

  • Stefan Schoenfelder

    (Nuclear Dynamics Programme, The Babraham Institute)

  • Martin Enge

    (Science for Life Laboratory, Karolinska Institutet)

  • Yinyin Yuan

    (The Institute of Cancer Research)

  • Jussi Taipale

    (Science for Life Laboratory, Karolinska Institutet)

  • Peter Fraser

    (Nuclear Dynamics Programme, The Babraham Institute)

  • Olivia Fletcher

    (Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research)

  • Richard S. Houlston

    (The Institute of Cancer Research)

Abstract

Multiple regulatory elements distant from their targets on the linear genome can influence the expression of a single gene through chromatin looping. Chromosome conformation capture implemented in Hi-C allows for genome-wide agnostic characterization of chromatin contacts. However, detection of functional enhancer–promoter interactions is precluded by its effective resolution that is determined by both restriction fragmentation and sensitivity of the experiment. Here we develop a capture Hi-C (cHi-C) approach to allow an agnostic characterization of these physical interactions on a genome-wide scale. Single-nucleotide polymorphisms associated with complex diseases often reside within regulatory elements and exert effects through long-range regulation of gene expression. Applying this cHi-C approach to 14 colorectal cancer risk loci allows us to identify key long-range chromatin interactions in cis and trans involving these loci.

Suggested Citation

  • Roland Jäger & Gabriele Migliorini & Marc Henrion & Radhika Kandaswamy & Helen E. Speedy & Andreas Heindl & Nicola Whiffin & Maria J. Carnicer & Laura Broome & Nicola Dryden & Takashi Nagano & Stefan , 2015. "Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7178
    DOI: 10.1038/ncomms7178
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms7178
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms7178?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhen Wah Tan & Enrico Guarnera & Igor N Berezovsky, 2018. "Exploring chromatin hierarchical organization via Markov State Modelling," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-35, December.
    2. M S Vijayabaskar & Debbie K Goode & Nadine Obier & Monika Lichtinger & Amber M L Emmett & Fatin N Zainul Abidin & Nisar Shar & Rebecca Hannah & Salam A Assi & Michael Lie-A-Ling & Berthold Gottgens & , 2019. "Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets," PLOS Computational Biology, Public Library of Science, vol. 15(11), pages 1-29, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7178. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.