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ATLAS-seq: a microfluidic single-cell TCR screen for antigen-reactive TCRs
Siwei Luo1,2, Amber Notaro1,2, Lan Lin3,4,5
1Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
A new method, ATLAS-seq, efficiently screens for antigen-reactive T cell receptors (TCRs) by measuring cytokine secretion. This approach identifies more effective TCRs for engineered T cell immunotherapies than traditional methods.
Area of Science:
- Immunology
- Molecular Biology
- Biotechnology
Background:
- Discovering antigen-reactive T cell receptors (TCRs) is crucial for developing effective engineered T cell immunotherapies.
- Conventional methods like MHC multimer staining prioritize high-affinity TCRs, potentially missing those with superior T cell activation efficacy.
Purpose of the Study:
- To develop and validate ATLAS-seq, a microfluidic single-cell screening technology for identifying antigen-reactive T cells based on functional activity.
- To compare the efficacy of TCRs identified by ATLAS-seq against those found using MHC multimer staining.
Main Methods:
- Developed ATLAS-seq, a microfluidic method using aptamer-based sensors to detect IFNγ secretion from single T cells upon antigen stimulation.
- Integrated single-cell RNA and TCR sequencing with the ATLAS-seq platform.
- Screened TCRs reactive to cytomegalovirus (CMV) and prostate-specific antigen (PSA) from peripheral blood mononuclear cells (PBMCs).
Main Results:
- ATLAS-seq successfully isolated and characterized activated T cells.
- Identified distinct TCR clonotypes with significantly higher T cell activation levels compared to those obtained via MHC multimer staining.
- TCRs identified by ATLAS-seq demonstrated enhanced efficacy in target cell killing.
Conclusions:
- ATLAS-seq offers an efficient and versatile platform for screening antigen-reactive TCRs.
- This technology can identify TCRs with superior functional activity for advancing engineered T cell immunotherapy.
- ATLAS-seq overcomes limitations of affinity-based methods for TCR discovery.
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