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基于蛋白质组学的生物标志物发现,用于下一代诊断技术的开发。

Proteomic-based biomarker discovery for development of next generation diagnostics.

作者信息

Khalilpour Akbar, Kilic Tugba, Khalilpour Saba, Álvarez Mario Moisés, Yazdi Iman K

机构信息

Biomaterials Innovation Research Center, Division of Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne Street, Rm. 265, Cambridge, MA, 02139, USA.

Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

出版信息

Appl Microbiol Biotechnol. 2017 Jan;101(2):475-491. doi: 10.1007/s00253-016-8029-z. Epub 2016 Dec 24.

DOI:10.1007/s00253-016-8029-z
PMID:28013407
Abstract

In the post-genome age, proteomics is receiving significant attention because they provide an invaluable source of biological structures and functions at the protein level. The search for disease-specific biomarkers for diagnostic and/or therapeutic applications is one of the areas that proteomics is having a significant impact. Thus, the identification of a "good" biomarker enables a more accurate early diagnosis and prognosis of disease. Rapid advancements in mass spectrometry (MS) instrumentation, liquid chromatography MS (LCMS), protein microarray technology, and other protein profiling methodologies have a substantial expansion of our toolbox to identify disease-specific protein and peptide biomarkers. This review covers a selection of widely used proteomic technologies for biomarker discovery. In addition, we describe the most commonly used approaches for diagnosis based on proteomic biomarkers and further discuss trends and critical challenges during development of cost-effective rapid diagnostic tests and microfluidic diagnostic systems based on proteomic biomarkers.

摘要

在后基因组时代,蛋白质组学正受到广泛关注,因为它在蛋白质水平上提供了有关生物结构和功能的宝贵信息来源。寻找用于诊断和/或治疗应用的疾病特异性生物标志物是蛋白质组学产生重大影响的领域之一。因此,鉴定出“良好”的生物标志物能够实现更准确的疾病早期诊断和预后评估。质谱(MS)仪器、液相色谱-质谱联用(LC-MS)、蛋白质微阵列技术以及其他蛋白质谱分析方法的快速发展极大地扩充了我们用于鉴定疾病特异性蛋白质和肽类生物标志物的工具库。本综述涵盖了一系列广泛用于生物标志物发现的蛋白质组学技术。此外,我们描述了基于蛋白质组学生物标志物的最常用诊断方法,并进一步讨论了在开发具有成本效益的快速诊断测试和基于蛋白质组学生物标志物的微流控诊断系统过程中的趋势和关键挑战。

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