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本文引用的文献

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A rapid, automated surface protein profiling of single circulating exosomes in human blood.一种快速、自动化的人血液中单循环外泌体表面蛋白谱分析方法。
Sci Rep. 2016 Nov 7;6:36502. doi: 10.1038/srep36502.
2
Detecting individual extracellular vesicles using a multicolor in situ proximity ligation assay with flow cytometric readout.使用具有流式细胞术读数的多色原位邻近连接分析法检测单个细胞外囊泡。
Sci Rep. 2016 Sep 29;6:34358. doi: 10.1038/srep34358.
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Dendritic cell-derived exosomes as maintenance immunotherapy after first line chemotherapy in NSCLC.树突状细胞衍生的外泌体用于非小细胞肺癌一线化疗后的维持免疫治疗
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The biology and function of exosomes in cancer.外泌体在癌症中的生物学特性与功能
J Clin Invest. 2016 Apr 1;126(4):1208-15. doi: 10.1172/JCI81135.
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Extracellular vesicles and infectious diseases: new complexity to an old story.细胞外囊泡与传染病:旧故事中的新复杂性
J Clin Invest. 2016 Apr 1;126(4):1181-9. doi: 10.1172/JCI81132.
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Extracellular Vesicles from High-Grade Glioma Exchange Diverse Pro-oncogenic Signals That Maintain Intratumoral Heterogeneity.高级别胶质瘤来源的细胞外囊泡交换多种促癌信号,维持肿瘤内异质性。
Cancer Res. 2016 May 15;76(10):2876-81. doi: 10.1158/0008-5472.CAN-15-3432. Epub 2016 Mar 24.
7
SCS macrophages suppress melanoma by restricting tumor-derived vesicle-B cell interactions.脊髓刺激巨噬细胞通过限制肿瘤衍生囊泡与B细胞的相互作用来抑制黑色素瘤。
Science. 2016 Apr 8;352(6282):242-6. doi: 10.1126/science.aaf1328. Epub 2016 Mar 17.
8
Cells release subpopulations of exosomes with distinct molecular and biological properties.细胞释放具有不同分子和生物学特性的外泌体亚群。
Sci Rep. 2016 Mar 2;6:22519. doi: 10.1038/srep22519.
9
Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes.蛋白质组学比较确定了用于表征细胞外囊泡亚型异质群体的新型标志物。
Proc Natl Acad Sci U S A. 2016 Feb 23;113(8):E968-77. doi: 10.1073/pnas.1521230113. Epub 2016 Feb 8.
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Integrated Magneto-Electrochemical Sensor for Exosome Analysis.用于外泌体分析的集成磁电化学传感器
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多重分析单细胞外泌体。

Multiplexed Profiling of Single Extracellular Vesicles.

机构信息

Center for Systems Biology, Massachusetts General Hospital , 185 Cambridge St, CPZN 5206, Boston, Massachusetts 02114, United States.

Department of Neurology, Massachusetts General Hospital , Boston, Massachusetts 02114, United States.

出版信息

ACS Nano. 2018 Jan 23;12(1):494-503. doi: 10.1021/acsnano.7b07060. Epub 2018 Jan 4.

DOI:10.1021/acsnano.7b07060
PMID:29286635
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5898240/
Abstract

Extracellular vesicles (EV) are a family of cell-originating, membrane-enveloped nanoparticles with diverse biological function, diagnostic potential, and therapeutic applications. While EV can be abundant in circulation, their small size (∼4 order of magnitude smaller than cells) has necessitated bulk analyses, making many more nuanced biological explorations, cell of origin questions, or heterogeneity investigations impossible. Here we describe a single EV analysis (SEA) technique which is simple, sensitive, multiplexable, and practical. We profiled glioblastoma EV and discovered surprising variations in putative pan-EV as well as tumor cell markers on EV. These analyses shed light on the heterogeneous biomarker profiles of EV. The SEA technology has the potential to address fundamental questions in vesicle biology and clinical applications.

摘要

细胞外囊泡(EV)是一类具有多种生物学功能、诊断潜力和治疗应用的细胞起源的膜包裹纳米颗粒。虽然 EV 在循环中可能很丰富,但其小尺寸(比细胞小约 4 个数量级)需要进行批量分析,从而使许多更细微的生物学探索、起源细胞问题或异质性研究变得不可能。在这里,我们描述了一种简单、灵敏、可多重检测和实用的单细胞 EV 分析(SEA)技术。我们对胶质母细胞瘤 EV 进行了分析,发现 EV 上的假定泛 EV 以及肿瘤细胞标志物存在惊人的差异。这些分析揭示了 EV 异质性生物标志物谱。SEA 技术有可能解决囊泡生物学和临床应用中的基本问题。