IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v499y2013i7456d10.1038_nature12223.html
   My bibliography  Save this article

Variation and genetic control of protein abundance in humans

Author

Listed:
  • Linfeng Wu

    (Stanford University School of Medicine)

  • Sophie I. Candille

    (Stanford University School of Medicine)

  • Yoonha Choi

    (Stanford University School of Medicine)

  • Dan Xie

    (Stanford University School of Medicine)

  • Lihua Jiang

    (Stanford University School of Medicine)

  • Jennifer Li-Pook-Than

    (Stanford University School of Medicine)

  • Hua Tang

    (Stanford University School of Medicine)

  • Michael Snyder

    (Stanford University School of Medicine)

Abstract

A large-scale analysis of variation in human protein levels between individuals is performed using mass-spectrometry-based proteomic technology, and a number of protein quantitative trait loci are identified; over 5% of proteins vary by more than 1.5-fold in their expression levels between individuals, and this variation is not always linked to RNA level.

Suggested Citation

  • Linfeng Wu & Sophie I. Candille & Yoonha Choi & Dan Xie & Lihua Jiang & Jennifer Li-Pook-Than & Hua Tang & Michael Snyder, 2013. "Variation and genetic control of protein abundance in humans," Nature, Nature, vol. 499(7456), pages 79-82, July.
  • Handle: RePEc:nat:nature:v:499:y:2013:i:7456:d:10.1038_nature12223
    DOI: 10.1038/nature12223
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature12223
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature12223?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Isabelle Rose Leo & Luay Aswad & Matthias Stahl & Elena Kunold & Frederik Post & Tom Erkers & Nona Struyf & Georgios Mermelekas & Rubin Narayan Joshi & Eva Gracia-Villacampa & Päivi Östling & Olli P. , 2022. "Integrative multi-omics and drug response profiling of childhood acute lymphoblastic leukemia cell lines," Nature Communications, Nature, vol. 13(1), pages 1-19, December.

    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:nature:v:499:y:2013:i:7456:d:10.1038_nature12223. 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.