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Updated: May 22, 2026

Imaging the Human Immunological Synapse
Published on: December 26, 2019
Decoding TCR specificity and T cell fate at the immunological synapse
Rundi Zhu1, Yuqian Wang1, Guideng Li1,2
1National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College , Suzhou, China.
Researchers developed PRECISE-seq, a new method to analyze T cells. This technique identified an immunosuppressive T cell state in tumors that PD-1 blockade therapy can overcome.
Area of Science:
- Immunology
- Single-cell analysis
- Cancer research
Background:
- T cells play a critical role in anti-tumor immunity.
- Understanding T cell states within the tumor microenvironment is crucial for developing effective cancer therapies.
- Current methods may not fully capture the complex interplay of T cell receptor specificity, function, and phenotype.
Purpose of the Study:
- To introduce PRECISE-seq, a novel proximity labeling platform.
- To characterize T cell states at single-cell resolution by integrating T cell receptor specificity, functional potency, and cellular phenotype.
- To identify novel T cell populations within tumors and their response to immunotherapy.
Main Methods:
- Development and application of PRECISE-seq (Proximity-dependent REaction for Cell-Intrinsic Specificity Evaluation sequencing).
- Single-cell analysis integrating multi-omic data.
- Characterization of tumor-infiltrating T cells.
Main Results:
- PRECISE-seq enables high-resolution profiling of T cells.
- Identification of a previously uncharacterized immunosuppressive Ly49+ T cell state within tumors.
- Demonstration that this immunosuppressive T cell state is sensitive to PD-1 blockade therapy.
Conclusions:
- PRECISE-seq is a powerful platform for dissecting cellular heterogeneity in immune responses.
- The identified Ly49+ T cell state represents a potential therapeutic target in cancer.
- Targeting PD-1 can overcome T cell-mediated immunosuppression within the tumor microenvironment.
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