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. 2021 Jul 9;13:111. doi: 10.1186/s13073-021-00922-x

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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. 5 — Subclustering of B cells. A, B t-SNE plots showing the annotated B cell subclusters generated by PCA-aligned methods (A), as well as the fraction of B cells originating from each patient, from the different sampling sites (ovary, omentum, peritoneum) and the different types of tissue (normal vs tumour) (B). C Violin plots illustrating the expression of maturity markers (CD38, SDC1, CD27, PRDM1), immunoglobulins (IGHG1, IGHG2, IGHG3, IGHA1) and inflammatory chemokines and receptors (TNFRSF17, CXCR3, CXCL13). D Percentage of cells demonstrating transcription factor activity (regulons) across B cell subclusters (pySCENIC)