IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-06482-w.html
   My bibliography  Save this article

Publisher Correction: Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer

Author

Listed:
  • Maria Arechederra

    (Aix Marseille Univ)

  • Fabrice Daian

    (Aix Marseille Univ)

  • Annie Yim

    (Max Planck Institute of Biochemistry)

  • Sehrish K. Bazai

    (Aix Marseille Univ)

  • Sylvie Richelme

    (Aix Marseille Univ)

  • Rosanna Dono

    (Aix Marseille Univ)

  • Andrew J. Saurin

    (Aix Marseille Univ)

  • Bianca H. Habermann

    (Aix Marseille Univ)

  • Flavio Maina

    (Aix Marseille Univ)

Abstract

In the original version of this Article, the sixth sentence of the abstract incorrectly read ‘Most of the genes upregulated and with hypermethylated CGIs in the Alb-R26Met HCC model undergo the same change.’, and should have read ‘Most of the genes upregulated and with hypermethylated CGIs in the Alb-R26Met HCC model undergo the same change in a large proportion of HCC patients.’. This has been corrected in both the PDF and HTML versions of the Article.

Suggested Citation

  • Maria Arechederra & Fabrice Daian & Annie Yim & Sehrish K. Bazai & Sylvie Richelme & Rosanna Dono & Andrew J. Saurin & Bianca H. Habermann & Flavio Maina, 2018. "Publisher Correction: Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06482-w
    DOI: 10.1038/s41467-018-06482-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-06482-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-06482-w?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. Danni A. Gadd & Robert F. Hillary & Daniel L. McCartney & Liu Shi & Aleks Stolicyn & Neil A. Robertson & Rosie M. Walker & Robert I. McGeachan & Archie Campbell & Shen Xueyi & Miruna C. Barbu & Claire, 2022. "Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health," Nature Communications, Nature, vol. 13(1), pages 1-14, 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:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06482-w. 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.