Jimenez Connie R, Piersma Sander, Pham Thang V
OncoProteomics Laboratory, Department of Medical Oncology, VUmc Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.
Biomark Med. 2007 Dec;1(4):541-65. doi: 10.2217/17520363.1.4.541.
Proteomics aims to create a link between genomic information, biological function and disease through global studies of protein expression, modification and protein-protein interactions. Recent advances in key proteomics tools, such as mass spectrometry (MS) and (bio)informatics, provide tremendous opportunities for biomarker-related clinical applications. In this review, we focus on two complementary MS-based approaches with high potential for the discovery of biomarker patterns and low-abundant candidate biomarkers in biofluids: high-throughput matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy-based methods for peptidome profiling and label-free liquid chromatography-based methods coupled to MS for in-depth profiling of biofluids with a focus on subproteomes, including the low-molecular-weight proteome, carrier-bound proteome and N-linked glycoproteome. The two approaches differ in their aims, throughput and sensitivity. We discuss recent progress and challenges in the analysis of plasma/serum and proximal fluids using these strategies and highlight the potential of liquid chromatography-MS-based proteomics of cancer cell and tumor secretomes for the discovery of candidate blood-based biomarkers. Strategies for candidate validation are also described.
蛋白质组学旨在通过对蛋白质表达、修饰及蛋白质-蛋白质相互作用的全面研究,在基因组信息、生物学功能和疾病之间建立联系。质谱(MS)和(生物)信息学等关键蛋白质组学工具的最新进展为与生物标志物相关的临床应用提供了巨大机遇。在本综述中,我们重点关注两种基于质谱的互补方法,它们在生物流体中发现生物标志物模式和低丰度候选生物标志物方面具有很高潜力:基于高通量基质辅助激光解吸/电离飞行时间质谱的肽组分析方法,以及基于无标记液相色谱与质谱联用的方法,用于深入分析生物流体,重点是亚蛋白质组,包括低分子量蛋白质组、载体结合蛋白质组和N-连接糖蛋白质组。这两种方法在目标、通量和灵敏度方面存在差异。我们讨论了使用这些策略分析血浆/血清和近端流体的最新进展和挑战,并强调了基于液相色谱-质谱的癌细胞和肿瘤分泌蛋白质组学在发现候选血液生物标志物方面的潜力。还描述了候选物验证策略。