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. 2020 May 26;10:8686. doi: 10.1038/s41598-020-65628-3

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© The Author(s) 2020

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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Exosome miRNA Profiling. miRNA from CI- and SEC-exosomes and OVCAR-3 cell lysates (serving as a control) were collected and analyzed. (A) Hierarchical clustering analysis and (B) PCA mapping were performed for CI-exosome, SEC-exosome, and cell lysate samples. For the PCA plot (cell lysates—red, CI-exosome—green, and SEC-exosome—blue), each point represents a biological sample, the x-axis represents first principal component, and the y-axis represents second principal component. In our miRNA data, the first two principal components account for 71.9% and 16.6% of the total variability in miRNA expression, respectively. The first two principal components explain 88.5% of the variance. The observed principal components consequently led to separate groups between exosomes and cell lysates. (C) Table representing the number of miRNAs that are differentially upregulated and downregulated between population of exosomes and cell lysates.