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. 2022 Jan 20;20:38. doi: 10.1186/s12951-021-01236-1

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© The Author(s) 2022

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.7 — HUCMSCs-EVs miRNA profiling and their putative functions by bioinformatics analysis. A The five most abundant hUCMSCs-EVs miRNAs were exhibited by the histogram. B The proportion of the five most abundant hUCMSCs-EVs miRNAs in total miRNAs. C The ratio of each of the five most abundant hUCMSCs-EVs miRNAs in total miRNAs. D Venn diagram for the intersection of target genes predicted by the five most abundant hUCMSCs-EVs miRNAs. E The top 30 most enriched Gene Ontology (GO) terms for these target genes by GO analysis. F The top 30 most enriched pathways for these target genes by KEGG pathway analysis