Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis
Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis
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DOI：
10.3390/molecules24162947
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发表时间：
2019-08-01
期刊：
影响因子：
4.6
通讯作者：
Wang, Huiqin
中科院分区：
文献类型：
--
作者：
Zhang, Ping;Wang, Limin;Wang, Huiqin
外泌体包含与生理或病理过程相关的不同功能性双分子特征，并且现在被认为是不同人类癌症中的新生物标志物。癌症相关外泌体的快速检测和分类可能有助于快速筛查可能患有癌症的患者。在这里，我们报告了一种表面增强拉曼散射技术，用于快速和无标记的外泌体检测（Exo-SERS），以帮助基于特定的拉曼表型和多元统计分析来区分不同的癌细胞。结果表明，来源于肿瘤细胞和正常细胞的外泌体表现出特殊的、独特的拉曼表型。使用Exo-SERS方法，可以准确地区分癌细胞和正常细胞，并且可以高灵敏度地检测不同细胞类型之间的细微分子变化。这项研究为检测和区分癌症类型提供了一种快速、无标记和非破坏性的方式。
Exosomes contain different functional bimolecular characteristics related to physiological or pathological processes and are now recognized as new biomarkers in different human cancers. Rapid detection and classification of cancer-related exosomes might be helpful in the rapid screening of patients that may have cancer. Here, we report a surface enhanced Raman scattering technology for rapid and label-free exosomal detection (Exo-SERS) to aid in the discrimination of different cancer cells based on specific Raman phenotypes and multivariate statistical analysis. The results demonstrated that exosomes derived from both tumor cells and normal cells exhibit special, unique Raman phenotypes. Using the Exo-SERS method, the cancer cells were accurately discriminated from normal cells, and subtle molecular changes between the different cell types could be detected with high sensitive. This research provides a rapid, label-free and non-destructive manner for detecting and discriminating between cancer types.