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. 2021 Oct 29;23:272. doi: 10.1186/s13075-021-02630-8

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Independent flow cytometry replication confirmed the reduced presence of CD62L⁺ basophils in ACPA− samples. A Cytosplore dimension reduction of manually transformed flow FCS files of panel 1 showing both ACPA+ (red) and ACPA− (blue). Smaller panels on the right represent the cells within the backbox. Expression patterns matched that of MC cluster 18 (dashed circle), including CD123, FcεRI and CD45RO. CD62L expression was linked to ACPA status. B Gates used in Boolean gating in Flowjo to manually gate cluster 18. C Frequency of manually gated cells representing MC cluster 18. Subset frequency was lower in ACPA− RA (mean 0.32% vs 0.13%; p = 0.01)