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• W4294368634 abstract "Abstract Novel single-cell based technologies hold the promise of matching T cell receptor (TCR) sequences with their cognate peptide-MHC recognition motif in a high-throughput manner. Parallel capture of TCR transcripts and peptide-MHC is enabled through the use of reagents labeled with DNA barcodes. However, analysis and annotation of such single-cell sequencing (SCseq) data is challenged by dropout, random noise, and other technical artifacts that must be carefully handled in the downstream processing steps. We here propose a rational, data-driven method termed ATRAP (Accurate T cell Receptor Antigen Paring) to deal with these challenges, filtering away likely artifacts, and enable the generation of large sets of TCR-pMHC sequence data with a high degree of specificity and sensitivity, thus outputting the most likely pMHC target per T cell. We have validated this approach across 10 different virus-specific T cell responses in 16 healthy donors. Across these samples we have identified up to 1494 high-confident TCR-pMHC pairs derived from 4135 single-cells." @default.
• W4294368634 created "2022-09-03" @default.
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• W4294368634 date "2022-09-02" @default.
• W4294368634 modified "2023-10-06" @default.
• W4294368634 title "ATRAP - Accurate T cell Receptor Antigen Pairing through data-driven filtering of sequencing information from single-cells" @default.
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• W4294368634 doi "https://doi.org/10.1101/2022.08.31.506001" @default.
• W4294368634 hasPublicationYear "2022" @default.
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