4.7 Article

Single Step In Situ Detection of Surface Protein and MicroRNA in Clustered Extracellular Vesicles Using Flow Cytometry

期刊

JOURNAL OF CLINICAL MEDICINE
卷 10, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/jcm10020319

关键词

extracellular vesicles; single step in situ detection; extracellular vesicle cluster; molecular beacon; flow cytometer

资金

  1. National Research Foundation of Korea (NRF) - Korean Government (MSIT) [NRF-2016R1A5A1010148]
  2. Incheon National University

向作者/读者索取更多资源

A method for single step in situ detection of EV surface proteins and inner miRNAs using a flow cytometer was developed, allowing for the differentiation of cancer cell-derived EVs. This approach offers a simple, time- and labor-saving, non-invasive liquid biopsy method for diagnosing various diseases, including cancer.
Because cancers are heterogeneous, it is evident that multiplexed detection is required to achieve disease diagnosis with high accuracy and specificity. Extracellular vesicles (EVs) have been a subject of great interest as sources of novel biomarkers for cancer liquid biopsy. However, EVs are nano-sized particles that are difficult to handle; thus, it is necessary to develop a method that enables efficient and straightforward EV biomarker detection. In the present study, we developed a method for single step in situ detection of EV surface proteins and inner miRNAs simultaneously using a flow cytometer. CD63 antibody and molecular beacon-21 were investigated for multiplexed biomarker detection in normal and cancer EVs. A phospholipid-polymer-phospholipid conjugate was introduced to induce clustering of the EVs analyzed using nanoparticle tracking analysis, which enhanced the detection signals. As a result, the method could detect and distinguish cancer cell-derived EVs using a flow cytometer. Thus, single step in situ detection of multiple EV biomarkers using a flow cytometer can be applied as a simple, labor- and time-saving, non-invasive liquid biopsy for the diagnosis of various diseases, including cancer.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据