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Usage Information

Paired analysis of TCRα and TCRβ chains at the single-cell level in mice
Pradyot Dash, … , Peter C. Doherty, Paul G. Thomas
Pradyot Dash, … , Peter C. Doherty, Paul G. Thomas
Published December 6, 2010
Citation Information: J Clin Invest. 2011;121(1):288-295. https://doi.org/10.1172/JCI44752.
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Technical Advance Immunology

Paired analysis of TCRα and TCRβ chains at the single-cell level in mice

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Abstract

Characterizing the TCRα and TCRβ chains expressed by T cells responding to a given pathogen or underlying autoimmunity helps in the development of vaccines and immunotherapies, respectively. However, our understanding of complementary TCRα and TCRβ chain utilization is very limited for pathogen- and autoantigen-induced immunity. To address this problem, we have developed a multiplex nested RT-PCR method for the simultaneous amplification of transcripts encoding the TCRα and TCRβ chains from single cells. This multiplex method circumvented the lack of antibodies specific for variable regions of mouse TCRα chains and the need for prior knowledge of variable region usage in the TCRβ chain, resulting in a comprehensive, unbiased TCR repertoire analysis with paired coexpression of TCRα and TCRβ chains with single-cell resolution. Using CD8+ CTLs specific for an influenza epitope recovered directly from the pneumonic lungs of mice, this technique determined that 25% of such effectors expressed a dominant, nonproductively rearranged Tcra transcript. T cells with these out-of-frame Tcra mRNAs also expressed an alternate, in-frame Tcra, whereas approximately 10% of T cells had 2 productive Tcra transcripts. The proportion of cells with biallelic transcription increased over the course of a response, a finding that has implications for immune memory and autoimmunity. This technique may have broad applications in mouse models of human disease.

Authors

Pradyot Dash, Jennifer L. McClaren, Thomas H. Oguin III, William Rothwell, Brandon Todd, Melissa Y. Morris, Jared Becksfort, Cory Reynolds, Scott A. Brown, Peter C. Doherty, Paul G. Thomas

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Usage data is cumulative from May 2024 through May 2025.

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