Leney Aneika C, Heck Albert J R
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences , Utrecht University , Padualaan 8 , 3584CH , Utrecht , The Netherlands.
, Netherlands Proteomics Center , Padualaan 8 , 3584CH , Utrecht , The Netherlands.
J Am Soc Mass Spectrom. 2017 Jan 1;28(1):5-13. doi: 10.1021/jasms.8b05378.
Electrospray ionization mass spectrometry (ESI-MS) is nowadays one of the cornerstones of biomolecular mass spectrometry and proteomics. Advances in sample preparation and mass analyzers have enabled researchers to extract much more information from biological samples than just the molecular weight. In particular, relevant for structural biology, noncovalent protein-protein and protein-ligand complexes can now also be analyzed by MS. For these types of analyses, assemblies need to be retained in their native quaternary state in the gas phase. This initial small niche of biomolecular mass spectrometry, nowadays often referred to as "native MS," has come to maturation over the last two decades, with dozens of laboratories using it to study mostly protein assemblies, but also DNA and RNA-protein assemblies, with the goal to define structure-function relationships. In this perspective, we describe the origins of and (re)define the term native MS, portraying in detail what we meant by "native MS," when the term was coined and also describing what it does (according to us) not entail. Additionally, we describe a few examples highlighting what native MS is, showing its successes to date while illustrating the wide scope this technology has in solving complex biological questions.
电喷雾电离质谱（ESI-MS）如今是生物分子质谱和蛋白质组学的基石之一。样品制备和质量分析器的进步使研究人员能够从生物样品中提取比分子量更多的信息。特别是对于结构生物学而言，非共价蛋白质-蛋白质和蛋白质-配体复合物现在也可以通过质谱进行分析。对于这些类型的分析，组装体需要在气相中保持其天然四级结构状态。生物分子质谱这个最初的小领域，如今通常被称为“天然质谱”，在过去二十年中已经走向成熟，数十个实验室使用它来研究主要是蛋白质组装体，也包括DNA和RNA-蛋白质组装体，目的是定义结构-功能关系。从这个角度出发，我们描述天然质谱这一术语的起源并（重新）定义它，详细阐述当这个术语被创造时我们所说的“天然质谱”是什么意思，同时也描述（据我们所知）它不包含的内容。此外，我们描述一些例子来突出天然质谱是什么，展示其迄今为止的成功，同时说明这项技术在解决复杂生物学问题方面的广泛应用范围。
