Systemic proteomics and miRNA profile analysis of exosomes derived from human pluripotent stem cells

微泡 生物 蛋白质组学 诱导多能干细胞 细胞生物学 小RNA 胚胎干细胞 干细胞 人诱导多能干细胞 计算生物学 遗传学 基因
作者
Ye Bi,Xinlong Qiao,Qun Li,Shaoxian Song,Keqi Zhu,Xiaodi Qiu,Xiang Zhang,Ce jia,Huiwen Wang,Zhiguang Yang,Ying Zhang,Guangju Ji
出处
期刊:Stem Cell Research & Therapy [Springer Nature]
卷期号:13 (1) 被引量:27
标识
DOI:10.1186/s13287-022-03142-1
摘要

Abstract Background Increasing studies have reported the therapeutic effect of mesenchymal stem cell (MSC)-derived exosomes by which protein and miRNA are clearly characterized. However, the proteomics and miRNA profiles of exosomes derived from human embryonic stem cells (hESCs) and human-induced pluripotent stem cells (hiPSCs) remain unclear. Methods In this study, we isolated exosomes from hESCs, hiPSCs, and human umbilical cord mesenchymal stem cells (hUC-MSCs) via classic ultracentrifugation and a 0.22-μm filter, followed by the conservative identification. Tandem mass tag labeling and label-free relative peptide quantification together defined their proteomics. High-throughput sequencing was performed to determine miRNA profiles. Then, we conducted a bioinformatics analysis to identify the dominant biological processes and pathways modulated by exosome cargos. Finally, the western blot and RT-qPCR were performed to detect the actual loads of proteins and miRNAs in three types of exosomes. Results Based on our study, the cargos from three types of exosomes contribute to sophisticated biological processes. In comparison, hESC exosomes (hESC-Exos) were superior in regulating development, metabolism, and anti-aging, and hiPSC exosomes (hiPSC-Exos) had similar biological functions as hESC-Exos, whereas hUC-MSCs exosomes (hUC-MSC-Exos) contributed more to immune regulation. Conclusions The data presented in our study help define the protein and miRNA landscapes of three exosomes, predict their biological functions via systematic and comprehensive network analysis at the system level, and reveal their respective potential applications in different fields so as to optimize exosome selection in preclinical and clinical trials.
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