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基于质谱的凝胶蛋白质组学在癌症生物标志物发现中的应用：方法与应用。

Mass spectrometry-assisted gel-based proteomics in cancer biomarker discovery: approaches and application.

机构信息

State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.

Economical Forest Cultivation and Utilization of 2011 Collaborative Innovation Center in Hunan Province, Hunan Key Laboratory of Green Chemistry and Application of Biological Nanotechnology; Hunan University of Technology, Zhuzhou 412007, China.

出版信息

Theranostics. 2017 Aug 18;7(14):3559-3572. doi: 10.7150/thno.20797. eCollection 2017.

DOI:10.7150/thno.20797
PMID:28912895
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5596443/
Abstract

There is a critical need for the discovery of novel biomarkers for early detection and targeted therapy of cancer, a major cause of deaths worldwide. In this respect, proteomic technologies, such as mass spectrometry (MS), enable the identification of pathologically significant proteins in various types of samples. MS is capable of high-throughput profiling of complex biological samples including blood, tissues, urine, milk, and cells. MS-assisted proteomics has contributed to the development of cancer biomarkers that may form the foundation for new clinical tests. It can also aid in elucidating the molecular mechanisms underlying cancer. In this review, we discuss MS principles and instrumentation as well as approaches in MS-based proteomics, which have been employed in the development of potential biomarkers. Furthermore, the challenges in validation of MS biomarkers for their use in clinical practice are also reviewed.

摘要

癌症是全球主要死因之一，因此对于发现新型生物标志物以用于癌症的早期检测和靶向治疗存在迫切需求。在这方面，蛋白质组学技术，如质谱（MS），可用于鉴定各种类型样本中具有病理意义的蛋白质。MS 能够对包括血液、组织、尿液、牛奶和细胞在内的复杂生物样本进行高通量分析。MS 辅助蛋白质组学为癌症生物标志物的发展做出了贡献，这些标志物可能成为新的临床检测的基础。它还有助于阐明癌症的分子机制。在本综述中，我们讨论了 MS 的原理和仪器以及基于 MS 的蛋白质组学方法，这些方法已被用于开发潜在的生物标志物。此外，我们还探讨了在将 MS 生物标志物用于临床实践时对其进行验证所面临的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/b0c8ac5b3eff/thnov07p3559g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/039869c1edf5/thnov07p3559g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/701e7332ce75/thnov07p3559g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/b0c8ac5b3eff/thnov07p3559g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/9a0493a5f885/thnov07p3559g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/2e0807cdc554/thnov07p3559g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/3fc4c6571a70/thnov07p3559g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/039869c1edf5/thnov07p3559g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/701e7332ce75/thnov07p3559g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/b7cf9f747d26/thnov07p3559g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f889/5596443/b0c8ac5b3eff/thnov07p3559g007.jpg

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本文引用的文献

[1]
Food allergen detection by mass spectrometry: the role of systems biology.

NPJ Syst Biol Appl. 2016-9-29

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Quantitative proteomics by SWATH-MS reveals sophisticated metabolic reprogramming in hepatocellular carcinoma tissues.

Sci Rep. 2017-4-5

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Adv Clin Chem. 2017

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Theranostics. 2017-1-1

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Proteome Profiling of Urinary Exosomes Identifies Alpha 1-Antitrypsin and H2B1K as Diagnostic and Prognostic Biomarkers for Urothelial Carcinoma.

Sci Rep. 2016-9-30

[10]
Identifying N-Glycan Biomarkers in Colorectal Cancer by Mass Spectrometry.

Acc Chem Res. 2016-9-21

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