Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary.
Doctoral School of Interdisciplinary Medicine, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Sci Rep. 2019 Oct 25;9(1):15329. doi: 10.1038/s41598-019-51778-6.
Exosomes are small extracellular vesicles (sEVs), playing a crucial role in the intercellular communication in physiological as well as pathological processes. Here, we aimed to study whether the melanoma-derived sEV-mediated communication could adapt to microenvironmental stresses. We compared B16F1 cell-derived sEVs released under normal and stress conditions, including cytostatic, heat and oxidative stress. The miRNome and proteome showed substantial differences across the sEV groups and bioinformatics analysis of the obtained data by the Ingenuity Pathway Analysis also revealed significant functional differences. The in silico predicted functional alterations of sEVs were validated by in vitro assays. For instance, melanoma-derived sEVs elicited by oxidative stress increased Ki-67 expression of mesenchymal stem cells (MSCs); cytostatic stress-resulted sEVs facilitated melanoma cell migration; all sEV groups supported microtissue generation of MSC-B16F1 co-cultures in a 3D tumour matrix model. Based on this study, we concluded that (i) molecular patterns of tumour-derived sEVs, dictated by the microenvironmental conditions, resulted in specific response patterns in the recipient cells; (ii) in silico analyses could be useful tools to predict different stress responses; (iii) alteration of the sEV-mediated communication of tumour cells might be a therapy-induced host response, with a potential influence on treatment efficacy.
外泌体是小型细胞外囊泡 (sEVs),在生理和病理过程中的细胞间通讯中发挥着关键作用。在这里,我们旨在研究黑素瘤衍生的 sEV 介导的通讯是否能够适应微环境压力。我们比较了在正常和应激条件下释放的 B16F1 细胞衍生的 sEV,包括细胞抑制、热和氧化应激。miRNome 和蛋白质组在 sEV 组之间表现出明显的差异,通过 Ingenuity Pathway Analysis 对获得的数据进行的生物信息学分析也显示出显著的功能差异。通过体外实验验证了 sEV 中预测的功能改变。例如,氧化应激诱导的黑素瘤衍生的 sEV 增加了间充质干细胞 (MSC) 的 Ki-67 表达;细胞抑制应激导致的 sEV 促进了黑素瘤细胞的迁移;所有 sEV 组均支持 MSC-B16F1 共培养物在 3D 肿瘤基质模型中的微组织生成。基于这项研究,我们得出结论:(i) 肿瘤衍生的 sEV 的分子模式由微环境条件决定,导致受体细胞产生特定的反应模式;(ii) 基于计算机的分析可能是预测不同应激反应的有用工具;(iii) 肿瘤细胞的 sEV 介导的通讯的改变可能是治疗诱导的宿主反应,对治疗效果有潜在影响。