IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v547y2017i7661d10.1038_nature22976.html
   My bibliography  Save this article

Identifying specificity groups in the T cell receptor repertoire

Author

Listed:
  • Jacob Glanville

    (Computational and Systems Immunology Program, Stanford University School of Medicine
    Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine)

  • Huang Huang

    (Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
    Stanford University School of Medicine)

  • Allison Nau

    (Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
    Stanford University School of Medicine)

  • Olivia Hatton

    (Stanford University School of Medicine
    Colorado College)

  • Lisa E. Wagar

    (Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
    Stanford University School of Medicine)

  • Florian Rubelt

    (Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine)

  • Xuhuai Ji

    (Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
    Human Immune Monitoring Center, Stanford University School of Medicine)

  • Arnold Han

    (Stanford University School of Medicine
    Columbia University)

  • Sheri M. Krams

    (Stanford University School of Medicine)

  • Christina Pettus

    (PSM Biotechnology, University of San Francisco)

  • Nikhil Haas

    (PSM Biotechnology, University of San Francisco)

  • Cecilia S. Lindestam Arlehamn

    (La Jolla Institute for Allergy and Immunology)

  • Alessandro Sette

    (La Jolla Institute for Allergy and Immunology)

  • Scott D. Boyd

    (Stanford University School of Medicine
    Stanford University School of Medicine)

  • Thomas J. Scriba

    (South African Tuberculosis Vaccine Initiative, University of Cape Town)

  • Olivia M. Martinez

    (Stanford University School of Medicine)

  • Mark M. Davis

    (Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
    Stanford University School of Medicine
    The Howard Hughes Medical Institute, Stanford University School of Medicine)

Abstract

The authors devise an algorithm that can cluster T cell receptor (TCR) sequences sharing the same specificity, predict the HLA restriction of these TCR clusters on the basis of subjects’ genotypes and help to identify specific peptide major histocompatibility complex ligands.

Suggested Citation

  • Jacob Glanville & Huang Huang & Allison Nau & Olivia Hatton & Lisa E. Wagar & Florian Rubelt & Xuhuai Ji & Arnold Han & Sheri M. Krams & Christina Pettus & Nikhil Haas & Cecilia S. Lindestam Arlehamn , 2017. "Identifying specificity groups in the T cell receptor repertoire," Nature, Nature, vol. 547(7661), pages 94-98, July.
    • Handle: RePEc:nat:nature:v:547:y:2017:i:7661:d:10.1038_nature22976
    DOI: 10.1038/nature22976
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature22976
    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/nature22976?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. Minotto Thomas & Hobæk Haff Ingrid & Robert Philippe A. & Sandve Geir K., 2024. "Assessing the feasibility of statistical inference using synthetic antibody-antigen datasets," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 23(1), pages 1-14, January.
    2. Ivy K Brown & Nathan Dyjack & Mindy M Miller & Harsha Krovi & Cydney Rios & Rachel Woolaver & Laura Harmacek & Ting-Hui Tu & Brian P O’Connor & Thomas Danhorn & Brian Vestal & Laurent Gapin & Clemenci, 2021. "Single cell analysis of host response to helminth infection reveals the clonal breadth, heterogeneity, and tissue-specific programming of the responding CD4+ T cell repertoire," PLOS Pathogens, Public Library of Science, vol. 17(6), pages 1-34, June.
    3. Maximilian Puelma Touzel & Aleksandra M Walczak & Thierry Mora, 2020. "Inferring the immune response from repertoire sequencing," PLOS Computational Biology, Public Library of Science, vol. 16(4), pages 1-21, April.

    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:547:y:2017:i:7661:d:10.1038_nature22976. 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.