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. 2023 Mar 10;12:962945. doi: 10.3389/fcimb.2022.962945

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Copyright © 2023 Hurtado, Flynn, Lee, Salcedo, Cottrell, Skog, Burton, Nemazee, Schief, Landais, Sok and Briney

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Optimization of next-generation AgBCs. (A) Schematic overview of the antigen barcoding approach. (B) Pre-optimization recovery of features (light gray), paired VDJ sequences (dark gray) or both features and VDJ (blue) when sorting cells after pre-sort hold times of varying duration. (C) Pre-optimization recovery of features (light gray), paired VDJ sequences (dark gray) or both features and VDJ (blue) when processing sorted cells after post-sort hold times of varying duration. (D) Optimized recovery of features (light gray), paired VDJ sequences (dark gray) or both features and VDJ (green) when processing sorted cells after post-sort hold times of varying duration. (E) Correlation between recovery AgBC UMI counts of two differently barcoded aliquots of eOD-GT8.1. Plot was generated in scab using scab.pl.feature_scatter(). (F) Kernel density estimate plot of the log2-normalized UMI counts of eOD-GT8.1 AgBC and eOD-GT8.1 KO AgBC is shown in gray. Cells classified as positive for an HSA AgBC are highlighted in pink. Plot was generated in scab using scab.pl.feature_kde().