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Tsyn-Seq: a T-cell Synapse-Based Antigen Identification Platform.

Authors :
Jin Y
Miyama T
Brown A
Hayase T
Song X
Singh AK
Huang L
Flores II
McDaniel LK
Glover I
Halsey TM
Prasad R
Chapa V
Ahmed S
Zhang J
Rai K
Peterson CB
Lizee G
Karmouch J
Hayase E
Molldrem JJ
Chang CC
Tsai WB
Jenq RR
Source :
Cancer immunology research [Cancer Immunol Res] 2024 May 02; Vol. 12 (5), pp. 530-543.
Publication Year :
2024

Abstract

Tools for genome-wide rapid identification of peptide-major histocompatibility complex targets of T-cell receptors (TCR) are not yet universally available. We present a new antigen screening method, the T-synapse (Tsyn) reporter system, which includes antigen-presenting cells (APC) 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. See related Spotlight by Makani and Joglekar, p. 515.<br /> (©2024 American Association for Cancer Research.)

Details

Language :
English
ISSN :
2326-6074
Volume :
12
Issue :
5
Database :
MEDLINE
Journal :
Cancer immunology research
Publication Type :
Academic Journal
Accession number :
38363296
Full Text :
https://doi.org/10.1158/2326-6066.CIR-23-0467