IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms11578.html
   My bibliography  Save this article

A combined computational and structural model of the full-length human prolactin receptor

Author

Listed:
  • Katrine Bugge

    (Structural Biology and NMR Laboratory, University of Copenhagen)

  • Elena Papaleo

    (Structural Biology and NMR Laboratory, University of Copenhagen)

  • Gitte W. Haxholm

    (Structural Biology and NMR Laboratory, University of Copenhagen)

  • Jonathan T. S. Hopper

    (Physical and Theoretical Chemistry Laboratory, University of Oxford)

  • Carol V. Robinson

    (Physical and Theoretical Chemistry Laboratory, University of Oxford)

  • Johan G. Olsen

    (Structural Biology and NMR Laboratory, University of Copenhagen)

  • Kresten Lindorff-Larsen

    (Structural Biology and NMR Laboratory, University of Copenhagen)

  • Birthe B. Kragelund

    (Structural Biology and NMR Laboratory, University of Copenhagen)

Abstract

The prolactin receptor is an archetype member of the class I cytokine receptor family, comprising receptors with fundamental functions in biology as well as key drug targets. Structurally, each of these receptors represent an intriguing diversity, providing an exceptionally challenging target for structural biology. Here, we access the molecular architecture of the monomeric human prolactin receptor by combining experimental and computational efforts. We solve the NMR structure of its transmembrane domain in micelles and collect structural data on overlapping fragments of the receptor with small-angle X-ray scattering, native mass spectrometry and NMR spectroscopy. Along with previously published data, these are integrated by molecular modelling to generate a full receptor structure. The result provides the first full view of a class I cytokine receptor, exemplifying the architecture of more than 40 different receptor chains, and reveals that the extracellular domain is merely the tip of a molecular iceberg.

Suggested Citation

  • Katrine Bugge & Elena Papaleo & Gitte W. Haxholm & Jonathan T. S. Hopper & Carol V. Robinson & Johan G. Olsen & Kresten Lindorff-Larsen & Birthe B. Kragelund, 2016. "A combined computational and structural model of the full-length human prolactin receptor," Nature Communications, Nature, vol. 7(1), pages 1-11, September.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11578
    DOI: 10.1038/ncomms11578
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms11578
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms11578?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
    ---><---

    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:7:y:2016:i:1:d:10.1038_ncomms11578. 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.