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. 2022 Dec 22;5:1402. doi: 10.1038/s42003-022-04349-x

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© The Author(s) 2022

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a Proteins identified by MS analysis of SF-sEVs and PC3 sEVs were compared against the ExoCarta and GO databases. b Venn diagram representation of the proteins identified in the three SF-sEVs fractions. c Pie chart representation of Gene Ontology Cellular Component categories (GO-CC) for proteins enriched in total minus surface. d GO-CC categories for proteins enriched in surface fractions. e Top ten terms obtained by functional annotation analysis in DAVID for proteins enriched in total minus surface fractions. f Top ten terms identified in DAVID for proteins enriched in surface fractions. Only proteins identified in at least two samples were included in the analysis.