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. 2022 Jul 16;8:324. doi: 10.1038/s41420-022-01122-1

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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. 1 — A Schematic representation of the experimental setup for platelet proteome screening in COVID-19 patients (COVID-19, survivor, and nonsurvivor groups) compared with healthy volunteers (controls). B Venn diagram representing total, unique, and shared protein identifications among the experimental groups. C Volcano plot of all shared proteins in the comparisons between COVID-19 patients and controls and among survivors and nonsurvivors. Each dot represents a protein mapped according to its log2 (fold change) on the y-axis and its −log2 (t test p value) on the x-axis. The red dots indicate proteins that did not satisfy the fold-change cutoff and p value (0.05). Green dots depict protein entries that met the fold-change cutoff but not the p value. Orange dots indicate proteins that satisfied both fold-change and p value but had low abundance, as determined by an additional stringency filter. Blue dots represent protein entries that met all statistical filters and were selected for further analysis.