Bakalarski Corey E, Kirkpatrick Donald S
From the Departments of ‡Protein Chemistry and §Bioinformatics and Computational Biology, Genentech, Inc., South San Francisco, California 94080.
From the Departments of ‡Protein Chemistry and
Mol Cell Proteomics. 2016 May;15(5):1489-97. doi: 10.1074/mcp.O115.056986. Epub 2016 Feb 12.
High-throughput genomic and proteomic studies have generated near-comprehensive catalogs of biological constituents within many model systems. Nevertheless, static catalogs are often insufficient to fully describe the dynamic processes that drive biology. Quantitative proteomic techniques address this need by providing insight into closely related biological states such as the stages of a therapeutic response or cellular differentiation. The maturation of quantitative proteomics in recent years has brought about a variety of technologies, each with their own strengths and weaknesses. It can be difficult for those unfamiliar with this evolving landscape to match the experiment at hand with the best tool for the job. Here, we outline quantitative methods for proteomic mass spectrometry and discuss their benefits and weaknesses from the perspective of the biologist aiming to generate meaningful data and address mechanistic questions.
高通量基因组和蛋白质组学研究已经在许多模型系统中生成了近乎全面的生物成分目录。然而,静态目录往往不足以充分描述驱动生物学的动态过程。定量蛋白质组学技术通过深入了解密切相关的生物状态,如治疗反应或细胞分化的阶段,满足了这一需求。近年来,定量蛋白质组学的成熟带来了多种技术,每种技术都有其自身的优缺点。对于那些不熟悉这一不断发展领域的人来说,很难将手头的实验与最适合该工作的工具相匹配。在这里,我们概述了蛋白质组质谱分析的定量方法,并从旨在生成有意义的数据和解决机制问题的生物学家的角度讨论了它们的优缺点。