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. 2024 Mar 21;25(4):703–715. doi: 10.1038/s41590-024-01782-4

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — a, Decision tree to nominate ADTs and optimal working concentration; TCR, T cell antigen receptor; BCR, B cell receptor. b, Distribution of CD38 ADT abundance (x axis) with changes in titration by capture and concentration (y axis). c, Cell population-specific detection of CD38 by concentration. d–g, Heat map of ADT expression by cell state and concentration for ADTs with improved detection in the 132 titrated cocktail (e and g) versus the titrations (d and f). ADTs for which concentrations were increased (d and e) or decreased (f and g) in the titrated mix are shown. Each cluster column of titration data (d and f) consists of five columns representing 0.25× to 4× relative to the ‘working’ concentration in the 275-plex titration mix. Each cluster column of titrated data (e and g) consists of four columns representing the donors in the order of African ancestry female, African ancestry male, European ancestry female and European ancestry male, respectively; Baso/mast, basophil/mast cell; PLT, platelets.