Wang Mu, You Jinsam, Bemis Kerry G, Tegeler Tony J, Brown Dawn P G
Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, 1345 W, 16th Street, Room 312, Indianapolis, IN 46202, USA.
Brief Funct Genomic Proteomic. 2008 Sep;7(5):329-39. doi: 10.1093/bfgp/eln031. Epub 2008 Jun 25.
Major technological advances have made proteomics an extremely active field for biomarker discovery and validation in recent years. These improvements have lead to an increased emphasis on larger scale, faster and more efficient methods for protein biomarker discoveries in human tissues, cells and biofluids. However, most current proteomic methodologies for biomarker discovery and validation are not highly automated and generally labour intensive and expensive. Improved automation as well as software programs capable of handling a large amount of data are essential in order to reduce the cost of discovery and increase the throughput. In this review, we will discuss and describe the label-free mass spectrometry-based protein quantification technologies and a case study utilizing one of these methods for biomarker discovery.
近年来,重大技术进步使蛋白质组学成为生物标志物发现和验证领域极为活跃的一个领域。这些改进使得人们更加重视在人体组织、细胞和生物流体中发现蛋白质生物标志物的大规模、更快且更高效的方法。然而,目前大多数用于生物标志物发现和验证的蛋白质组学方法自动化程度不高,通常劳动强度大且成本高昂。为了降低发现成本并提高通量,改进自动化以及能够处理大量数据的软件程序至关重要。在本综述中,我们将讨论并描述基于无标记质谱的蛋白质定量技术,以及利用其中一种方法进行生物标志物发现的案例研究。