Mass spectrometry-based proteomics of single cells and organoids: The new generation of cancer research
DC Field | Value | Language |
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dc.contributor.author | Ntwali, P. V. Migisha | - |
dc.contributor.author | Heo, Chae Eun | - |
dc.contributor.author | Han, Jong Yoon | - |
dc.contributor.author | Chae, Soo Yeon | - |
dc.contributor.author | Kim, Minji | - |
dc.contributor.author | Vu, Hung M. | - |
dc.contributor.author | Kim, Min-Sik | - |
dc.contributor.author | Kim, Hugh I. | - |
dc.date.accessioned | 2021-08-30T15:15:09Z | - |
dc.date.available | 2021-08-30T15:15:09Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-09 | - |
dc.identifier.issn | 0165-9936 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/53306 | - |
dc.description.abstract | Mass spectrometry (MS)-based proteomics is becoming a widely used technique for proteome characterization. Remarkable improvements in the resolution and sensitivity of MS instruments have enabled MS to address an ever-increasing array of biological questions. Nevertheless, the intrinsic cellular heterogeneity of biological systems continues to be a hurdle in MS-based proteomics for cancer research. MS-based proteomics of 3D cellular models and single-cell systems are being used as an effective analysis technique to characterize cellular heterogeneity among cancer cells. Proteomic analysis of 3D cellular models and single-cell systems provides a correlation between cellular heterogeneity and patient-specific responses to chemotherapy drugs, leading to effective and less toxic cancer treatments. Here, we review the pioneering achievements in MS-based proteomic analysis of 3D cell models and single-cell systems. Additionally, we provide insights into the contribution of MS-based proteomics, from examining tumoroid and single-cell systems to the development of precision medicine for cancer treatment. (C) 2020 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.subject | SAMPLE PREPARATION | - |
dc.subject | LIQUID-CHROMATOGRAPHY | - |
dc.subject | SPHEROID CULTURE | - |
dc.subject | DRUG-RESISTANCE | - |
dc.subject | TUMOR | - |
dc.subject | DISCOVERY | - |
dc.subject | IDENTIFICATION | - |
dc.subject | TECHNOLOGIES | - |
dc.subject | SYSTEMS | - |
dc.subject | TANDEM | - |
dc.title | Mass spectrometry-based proteomics of single cells and organoids: The new generation of cancer research | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Hugh I. | - |
dc.identifier.doi | 10.1016/j.trac.2020.116005 | - |
dc.identifier.scopusid | 2-s2.0-85089503206 | - |
dc.identifier.wosid | 000574877500008 | - |
dc.identifier.bibliographicCitation | TRAC-TRENDS IN ANALYTICAL CHEMISTRY, v.130 | - |
dc.relation.isPartOf | TRAC-TRENDS IN ANALYTICAL CHEMISTRY | - |
dc.citation.title | TRAC-TRENDS IN ANALYTICAL CHEMISTRY | - |
dc.citation.volume | 130 | - |
dc.type.rims | ART | - |
dc.type.docType | Review | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.subject.keywordPlus | SAMPLE PREPARATION | - |
dc.subject.keywordPlus | LIQUID-CHROMATOGRAPHY | - |
dc.subject.keywordPlus | SPHEROID CULTURE | - |
dc.subject.keywordPlus | DRUG-RESISTANCE | - |
dc.subject.keywordPlus | TUMOR | - |
dc.subject.keywordPlus | DISCOVERY | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | TECHNOLOGIES | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | TANDEM | - |
dc.subject.keywordAuthor | Mass spectrometry (MS) | - |
dc.subject.keywordAuthor | Proteomics | - |
dc.subject.keywordAuthor | Cellular heterogeneity | - |
dc.subject.keywordAuthor | 3D cell | - |
dc.subject.keywordAuthor | Single cell | - |
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