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. 2023 Oct 26;13:18341. doi: 10.1038/s41598-023-44050-5

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© The Author(s) 2023

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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Proteomic analysis of tissue explant and cell line EVs. (a) Pipeline for filtering LC–MS/MS data to aide in selection of potential transmembrane candidate protein biomarkers. Created with BioRender.com. (b) Shown are the initial number of proteins identified in cell line EVs (blue, average of two or three EV isolations from conditioned media) and tissue explant EVs (gray, average of all samples from their respective groups). (c) Heatmap of proteomic data showing enrichment of common EV protein markers for both cell line and tissue derived EVs. (d) Venn diagram comparison of protein distribution between HGSOC cell lines and tissue explants, and (e) between FT cell lines and FT tissue explants. (f) Identification of the FT/HGSOC core proteome by comparison of common proteins between the two groups (HGSOC EVs and FT EVs). (g) Identification of transmembrane proteins within the FT/HGSOC core proteome by comparison to the SwissProt predicted transmembrane database, and (h) removal of expected/common EV proteins within the transmembrane FT/HGSOC core proteome by comparison to the Exocarta and Vesiclepedia.