Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
Biochem Biophys Res Commun. 2024 Nov 19;734:150439. doi: 10.1016/j.bbrc.2024.150439. Epub 2024 Jul 23.
Extracellular vesicles (EVs) are secreted by cells with a membrane structure and complex components such as DNA, RNA and proteins. These biomolecules play an important role in cell communication, cell proliferation, cell migration, vascularization, immune response and other physiological and pathological processes. Most current research on EVs focused on populations of EVs. Heterogeneity of EVs is neglected. Considering the heterogeneity of single EVs may offer critical molecular insights into cell-cell interactions, it is necessary to enhance our understanding about molecular characteristics from EVs derived from cell population to a single EV of derived from a single cell. This transformation is expected to provide a new insight into the understanding of cellular biology and the accurate description of the law of disease progress. In this article, we review the current research progress of single EV analysis technology for single EVs derived from cell population (SECP) and discuss its main applications in biological and clinical medicine research. After that, we propose the development direction, main difficulties and application prospect of single EV analysis technology for single EVs derived from single cells (SESC) according to our own research work, to provide new perspectives for the field of EV research.
细胞外囊泡 (EVs) 是由具有膜结构和复杂成分的细胞分泌的，如 DNA、RNA 和蛋白质。这些生物分子在细胞通讯、细胞增殖、细胞迁移、血管生成、免疫反应和其他生理和病理过程中发挥着重要作用。目前大多数关于 EVs 的研究都集中在 EVs 群体上，而忽略了 EVs 的异质性。考虑到单个 EV 的异质性可能为细胞间相互作用提供关键的分子见解，因此有必要增强我们对源自细胞群体的 EVs 的分子特征的理解，以将其转化为源自单个细胞的单个 EVs 的分子特征。这种转变有望为理解细胞生物学和准确描述疾病进展规律提供新的视角。在本文中，我们回顾了源自细胞群体的单个 EV 分析技术 (SECP) 的最新研究进展，并讨论了其在生物和临床医学研究中的主要应用。然后，根据我们自己的研究工作，提出了源自单个细胞的单个 EV 分析技术 (SESC) 的发展方向、主要困难和应用前景，为 EV 研究领域提供了新的视角。
