4.8 Article

Antigen-Specific T Cell Detection via Photocatalytic Proximity Cell Labeling (PhoXCELL)

Journal

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
Volume 144, Issue 12, Pages 5517-5526

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/jacs.2c00159

Keywords

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Funding

  1. National Natural Science Foundation of China [21977048, 92053111, 91957101, 22077004, 21740001, 21937001, 22007001]
  2. Beijing Natural Science Foundation [Z200010]
  3. Natural Science Foundation of Jiangsu Province [BK20202004]
  4. Beijing National Laboratory for Molecular Sciences [BNLMS202008]

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This study presents a method for the detection and quantification of cell-cell interactions using photocatalytic labeling, which allows the labeling of interacting cells and provides insights into immune responses and immunotherapy development.
Quantitative detection and characterization of antigen-specific T cells are crucial to our understanding of immune responses as well as the development of new immunotherapies. Herein, we report a spatiotemporally resolved method for the detection and quantification of cell-cell interactions via Photocatalytic proXimity CELL Labeling (PhoXCELL). The biocompatible photosensitizer dibromofluorescein (DBF) was leveraged and optimized as a nongenetic alternative of enzymatic approaches for efficient generation of singlet oxygen upon photoirradiation (520 nm) on the cell surface, which allowed the subsequent labeling of nearby oxidized proteins with primary aliphatic amine-based probes. We demonstrated that DBF-functionalized dendritic cells (DCs) could spatiotemporally label interacting T cells in immune synapses via rapid photoirradiation with quantitatively discriminated interaction strength, which revealed distinct gene signatures for T cells that strongly interact with antigen-pulsed DCs. Furthermore, we employed PhoXCELL to simultaneously detect tumor antigen-specific CD8(+) as well as CD4(+) T cells from tumor-infiltrating lymphocytes and draining lymph nodes in murine tumor models, enabling PhoXCELL as a powerful platform to identify antigen-specific T cells in T cell receptor (TCR)-relevant personal immunotherapy.

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