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Tsyn-seq: a T cell synapse–based antigen identification platform

  • Yimei Jin
  • , Takahiko Miyama
  • , Alexandria Brown
  • , Tomo Hayase
  • , Xingzhi Song
  • , Anand K. Singh
  • , Licai Huang
  • , Ivonne I. Flores
  • , Lauren K. McDaniel
  • , Israel Glover
  • , Taylor M. Halsey
  • , Rishika Prasad
  • , Valerie Chapa
  • , Saira Ahmed
  • , Jianhua Zhang
  • , Kunal Rai
  • , Christine B. Peterson
  • , Gregory Lizee
  • , Jennifer Karmouch
  • , Eiko Hayase
  • Jeffrey J. Molldrem, Chia Chi Chang, Wen Bin Tsai, Robert R. Jenq

研究成果: ジャーナルへの寄稿学術論文査読

抄録

Tools for genome-wide rapid identification of peptide–major histocompatibility complex targets of T-cell receptors (TCRs) are not yet universally available. We present a new antigen screening method, the T-synapse (Tsyn) reporter system, which includes antigen-presenting cells (APCs) with a Fas-inducible NF-κB reporter and T cells with a nuclear factor of activated T cells (NFAT) reporter. To functionally screen for target antigens from a cDNA library, productively interacting T cell–APC aggregates were detected by dual reporter activity and enriched by flow sorting followed by antigen identification quantified by deep sequencing (Tsyn-seq). When applied to a previously characterized TCR specific for the E7 antigen derived from human papillomavirus type 16 (HPV16), Tsyn-seq successfully enriched the correct cognate antigen from a cDNA library derived from an HPV16-positive cervical cancer cell line. Tsyn-seq provides a method for rapidly identifying antigens recognized by TCRs of interest from a tumor cDNA library.

本文言語英語
ジャーナルCancer Immunology Research
12
5
DOI
出版ステータス出版済み - 01-05-2024
外部発表はい

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 免疫学
  • 癌研究

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