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Mass spectrometry-based proteomics of single cells and organoids: The new generation of cancer research

Title
Mass spectrometry-based proteomics of single cells and organoids: The new generation of cancer research
Authors
Ntwali, P. V. MigishaHeo, Chae EunHan, Jong YoonChae, Soo YeonKim, MinjiVu, Minh HungKim, Min-SikKim, Hugh I.
DGIST Authors
Kim, Min-Sik
Issue Date
2020-09
Citation
TrAC - Trends in Analytical Chemistry, 130
Type
Article
Article Type
Review
Author Keywords
Mass spectrometry (MS)ProteomicsCellular heterogeneity3D cellSingle cell
Keywords
SAMPLE PREPARATIONLIQUID-CHROMATOGRAPHYSPHEROID CULTUREDRUG-RESISTANCETUMORDISCOVERYIDENTIFICATIONTECHNOLOGIESTANDEMMODEL
ISSN
0165-9936
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. © 2020 Elsevier B.V.
URI
http://hdl.handle.net/20.500.11750/12438
DOI
10.1016/j.trac.2020.116005
Publisher
Elsevier BV
Related Researcher
  • Author Kim, Min-Sik Laboratory for QBIO and Precision Medicine
  • Research Interests Cancer Proteogenomics, Biomarker Discovery, Integrative Multi-Omics
Files:
There are no files associated with this item.
Collection:
Department of New BiologyLaboratory for QBIO and Precision Medicine1. Journal Articles


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