Exosome Classification by Pattern Analysis of Surface-Enhanced Raman Spectroscopy Data for Lung Cancer Diagnosis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jaena | - |
dc.contributor.author | Hwang, Miyeon | - |
dc.contributor.author | Choi, ByeongHyeon | - |
dc.contributor.author | Jeong, Hyesun | - |
dc.contributor.author | Jung, Jik-han | - |
dc.contributor.author | Kim, Hyun Koo | - |
dc.contributor.author | Hong, Sunghoi | - |
dc.contributor.author | Park, Ji-ho | - |
dc.contributor.author | Choi, Yeonho | - |
dc.date.accessioned | 2021-09-03T04:55:03Z | - |
dc.date.available | 2021-09-03T04:55:03Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017-06-20 | - |
dc.identifier.issn | 0003-2700 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/83107 | - |
dc.description.abstract | Owing to the role of exosome as a cargo for intercellular communication, especially in cancer metastasis, the evidence has been consistently accumulated that exosomes can be used as a noninvasive indicator of cancer. Consequently, several studies applying exosome have been proposed for cancer diagnostic methods such as ELISA assay. However, it has been still challenging to get reliable results due to the requirement of a labeling process and high concentration of exosome. Here, we demonstrate a label-free and highly sensitive classification method of exosome by combining-enhanced (SERS) and statistical surface Raman, scattering pattern analysis. Unlike the conventional method to read different peak positions and amplitudes of a spectrum, whole SERS spectra of exosomes were analyzed by principal component analysis (PCA). By employing this pattern analysis, lung cancer cell derived exosomes were clearly distinguished from normal cell derived exosomes by 95.3% sensitivity and 97.3% specificity. Moreover, by analyzing the PCA result, we could suggest that this difference was induced by 11 different points in SERS signals from lung cancer cell derived exosomes. This result paved the way for new real-time diagnosis and classification of lung cancer by using exosome as a cancer marker. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.subject | PRINCIPAL COMPONENT ANALYSIS | - |
dc.subject | CELLS | - |
dc.subject | SCATTERING | - |
dc.subject | VESICLES | - |
dc.subject | SERS | - |
dc.subject | IDENTIFICATION | - |
dc.subject | MICROSCOPY | - |
dc.subject | MOLECULES | - |
dc.subject | SPECTRA | - |
dc.subject | TISSUES | - |
dc.title | Exosome Classification by Pattern Analysis of Surface-Enhanced Raman Spectroscopy Data for Lung Cancer Diagnosis | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Hyun Koo | - |
dc.contributor.affiliatedAuthor | Hong, Sunghoi | - |
dc.contributor.affiliatedAuthor | Choi, Yeonho | - |
dc.identifier.doi | 10.1021/acs.analchem.7b00911 | - |
dc.identifier.scopusid | 2-s2.0-85021692573 | - |
dc.identifier.wosid | 000404087600057 | - |
dc.identifier.bibliographicCitation | ANALYTICAL CHEMISTRY, v.89, no.12, pp.6695 - 6701 | - |
dc.relation.isPartOf | ANALYTICAL CHEMISTRY | - |
dc.citation.title | ANALYTICAL CHEMISTRY | - |
dc.citation.volume | 89 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 6695 | - |
dc.citation.endPage | 6701 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.subject.keywordPlus | PRINCIPAL COMPONENT ANALYSIS | - |
dc.subject.keywordPlus | CELLS | - |
dc.subject.keywordPlus | SCATTERING | - |
dc.subject.keywordPlus | VESICLES | - |
dc.subject.keywordPlus | SERS | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | MICROSCOPY | - |
dc.subject.keywordPlus | MOLECULES | - |
dc.subject.keywordPlus | SPECTRA | - |
dc.subject.keywordPlus | TISSUES | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.