Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Molecules |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1420-3049/24/16/2947 |
| _version_ | 1818570577707794432 |
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| author | Ping Zhang Limin Wang Yaping Fang Dawei Zheng Taifeng Lin Huiqin Wang |
| author_facet | Ping Zhang Limin Wang Yaping Fang Dawei Zheng Taifeng Lin Huiqin Wang |
| author_sort | Ping Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T13:43:47Z |
| format | Article |
| id | doaj.art-aa8d8e605eef4a97a62ccaa874d65fea |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-12-14T13:43:47Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-aa8d8e605eef4a97a62ccaa874d65fea2022-12-21T22:59:22ZengMDPI AGMolecules1420-30492019-08-012416294710.3390/molecules24162947molecules24162947Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical AnalysisPing Zhang0Limin Wang1Yaping Fang2Dawei Zheng3Taifeng Lin4Huiqin Wang5College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaExosomes 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.https://www.mdpi.com/1420-3049/24/16/2947exosomesbiomarkersurface enhanced Raman scatteringcancerRaman phenotyperapid detectionlabel-free |
| spellingShingle | Ping Zhang Limin Wang Yaping Fang Dawei Zheng Taifeng Lin Huiqin Wang Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis Molecules exosomes biomarker surface enhanced Raman scattering cancer Raman phenotype rapid detection label-free |
| title | Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis |
| title_full | Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis |
| title_fullStr | Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis |
| title_full_unstemmed | Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis |
| title_short | Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis |
| title_sort | label free exosomal detection and classification in rapid discriminating different cancer types based on specific raman phenotypes and multivariate statistical analysis |
| topic | exosomes biomarker surface enhanced Raman scattering cancer Raman phenotype rapid detection label-free |
| url | https://www.mdpi.com/1420-3049/24/16/2947 |
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