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在细胞外囊泡的自动化纯化过程中应用对磷脂膜具有亲和力的肽。

Application of peptides with an affinity for phospholipid membranes during the automated purification of extracellular vesicles.

机构信息

Unit of Biotechnology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8530, Japan.

Precision System Science Co., Ltd., 88 Kamihongo, Matsudo, Chiba, 271-0064, Japan.

出版信息

Sci Rep. 2020 Oct 30;10(1):18718. doi: 10.1038/s41598-020-75561-0.

Abstract

Extracellular vesicles (EVs), such as exosomes, have garnered increasing interest because of their potential clinical applications that range from diagnostics to therapeutics. The development of an automated and reproducible EV purification platform would therefore aid the introduction of EV biomarkers and therapies into the clinic. Here, we demonstrate that K8- as well as K-16 peptides (containing 8 and 16 lysine residues with dissociation constants of 102 nM and 11.6 nM for phosphatidylserine, respectively) immobilized on magnetic beads can capture small EVs (< 0.2 µm) from culture supernatants of MCF7 human breast cancer cells. Importantly, the bound EVs could be dissociated from the beads under mild conditions (e.g. 0.5 M NaCl), and the isolated EVs had the typical shapes of EVs under SEM and TEM with a mean particle size of 99 nm. Using the peptide-immobilized beads, we adapted a pre-existing bench top instrument for magnetic separation to perform automated EV purification with higher purity and yield than that obtained using the standard ultracentrifugation method.

摘要

细胞外囊泡(EVs),如外泌体,由于其具有从诊断到治疗等广泛的临床应用潜力而受到越来越多的关注。因此,开发一种自动化和可重复的 EV 纯化平台将有助于将 EV 生物标志物和疗法引入临床。在这里,我们证明固定在磁性珠上的 K8-和 K-16 肽(分别含有 8 和 16 个赖氨酸残基,对磷脂酰丝氨酸的解离常数为 102 nM 和 11.6 nM)可以从小鼠乳腺癌 MCF7 细胞培养上清液中捕获小 EVs(<0.2 µm)。重要的是,结合的 EVs 可以在温和的条件下(例如 0.5 M NaCl)从珠上解离,并且分离的 EVs 在 SEM 和 TEM 下具有 EV 的典型形状,平均粒径为 99 nm。我们使用肽固定珠,对现有的台式磁分离仪器进行了改进,以进行自动化 EV 纯化,与标准超速离心法相比,获得了更高的纯度和产率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83b/7603496/927da3b26f62/41598_2020_75561_Fig1_HTML.jpg

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