IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-31684-8.html
   My bibliography  Save this article

Nanoscale organization of two-dimensional multimeric pMHC reagents with DNA origami for CD8+ T cell detection

Author

Listed:
  • Yueyang Sun

    (East China Normal University)

  • Lu Yan

    (East China Normal University)

  • Jiajia Sun

    (East China Normal University)

  • Mingshu Xiao

    (East China Normal University)

  • Wei Lai

    (East China Normal University)

  • Guangqi Song

    (Zhongshan Hospital of Fudan University)

  • Li Li

    (East China Normal University)

  • Chunhai Fan

    (Shanghai Jiao Tong University)

  • Hao Pei

    (East China Normal University
    Institute of Eco-Chongming)

Abstract

Peptide-MHC (pMHC) multimers have excelled in the detection of antigen-specific T cells and have allowed phenotypic analysis using other reagents, but their use for detection of low-affinity T cells remains a challenge. Here we develop a multimeric T cell identifying reagent platform using two-dimensional DNA origami scaffolds to spatially organize pMHCs (termed as dorimers) with nanoscale control. We show that these dorimers enhance the binding avidity for low-affinity antigen-specific T cell receptors (TCRs). The dorimers are able to detect more antigen-specific T cells in mouse CD8+ T cells and early-stage CD4+CD8+ double-positive thymocytes that express less dense TCRs, compared with the equivalent tetramers and dextramers. Moreover, we demonstrate dorimer function in the analysis of autoimmune CD8+ T cells that express low-affinity TCRs, which are difficult to detect using tetramers. We anticipate that dorimers could contribute to the investigation of antigen-specific T cells in immune T cell function or immunotherapy applications.

Suggested Citation

  • Yueyang Sun & Lu Yan & Jiajia Sun & Mingshu Xiao & Wei Lai & Guangqi Song & Li Li & Chunhai Fan & Hao Pei, 2022. "Nanoscale organization of two-dimensional multimeric pMHC reagents with DNA origami for CD8+ T cell detection," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31684-8
    DOI: 10.1038/s41467-022-31684-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-31684-8
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-31684-8?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
    ---><---

    References listed on IDEAS

    as
    1. Jun Huang & Veronika I. Zarnitsyna & Baoyu Liu & Lindsay J. Edwards & Ning Jiang & Brian D. Evavold & Cheng Zhu, 2010. "The kinetics of two-dimensional TCR and pMHC interactions determine T-cell responsiveness," Nature, Nature, vol. 464(7290), pages 932-936, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hyun-Kyu Choi & Peiwen Cong & Chenghao Ge & Aswin Natarajan & Baoyu Liu & Yong Zhang & Kaitao Li & Muaz Nik Rushdi & Wei Chen & Jizhong Lou & Michelle Krogsgaard & Cheng Zhu, 2023. "Catch bond models may explain how force amplifies TCR signaling and antigen discrimination," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    2. Muaz Nik Rushdi & Victor Pan & Kaitao Li & Hyun-Kyu Choi & Stefano Travaglino & Jinsung Hong & Fletcher Griffitts & Pragati Agnihotri & Roy A. Mariuzza & Yonggang Ke & Cheng Zhu, 2022. "Cooperative binding of T cell receptor and CD4 to peptide-MHC enhances antigen sensitivity," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    3. Renske M A Vroomans & Athanasius F M Marée & Rob J de Boer & Joost B Beltman, 2012. "Chemotactic Migration of T Cells towards Dendritic Cells Promotes the Detection of Rare Antigens," PLOS Computational Biology, Public Library of Science, vol. 8(11), pages 1-13, November.
    4. Marion C Lanteri & Zhanna Kaidarova & Trevor Peterson & Steven Cate & Brian Custer & Shiquan Wu & Maria Agapova & Jacqueline P Law & Thomas Bielawny & Frank Plummer & Leslie H Tobler & Mark Loeb & Mic, 2011. "Association between HLA Class I and Class II Alleles and the Outcome of West Nile Virus Infection: An Exploratory Study," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-10, August.

    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:13:y:2022:i:1:d:10.1038_s41467-022-31684-8. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.