Pacharra Sandra, Marcus Katrin, May Caroline
Medizinisches Proteom-Center, Medical Faculty, Ruhr-Universität Bochum, Bochum, Germany.
Methods Mol Biol. 2019;2044:69-77. doi: 10.1007/978-1-4939-9706-0_5.
Data-independent acquisition (DIA) is becoming more prominent as a method for comprehensive proteomic analysis of clinical samples due to its ability to acquire essentially all fragment ion spectra in a single LC-ESI-MS/MS experiment. Since the direct correlation between a precursor and its fragment ions is lost when acquiring all ions in a defined m/z range, one data analysis strategy is using so-called peptide spectral libraries. These are usually generated by measuring similar biological samples in data-dependent (DDA) mode. The peptide spectral library content is a major limitation for the successful identification from DIA data. This is because a fragment ion spectrum from the sample can only be matched, and thus identified, when it is present in the peptide spectral library. In order to enhance peptide spectral library size, the sample for generating the peptide spectral library can be subjected to extended separation strategies prior to DDA. These strategies are of special relevance for biological samples containing a few very high-abundant proteins, such as CSF, as they enlarge the identification of low-abundant proteins. In instances of CSF separation, suitable methods include the 1D SDS-PAGE of proteins and high-pH reversed-phase peptide fractionation. Both methods are based on different protein/peptide characteristics, are complementary with one another, and are inexpensive and easy to establish. Ideally, DDA spectra from samples generated with both methods combine to achieve a comprehensive spectral library.
非数据依赖型采集(DIA)作为一种对临床样本进行全面蛋白质组分析的方法正变得越来越突出,因为它能够在一次液相色谱 - 电喷雾串联质谱(LC - ESI - MS/MS)实验中获取基本上所有的碎片离子谱。由于在定义的质荷比(m/z)范围内采集所有离子时,前体与其碎片离子之间的直接相关性会丧失,一种数据分析策略是使用所谓的肽段谱库。这些谱库通常通过在数据依赖型(DDA)模式下测量相似的生物样本生成。肽段谱库的内容是从DIA数据成功鉴定的一个主要限制因素。这是因为只有当样本中的碎片离子谱存在于肽段谱库中时,才能进行匹配并从而被鉴定出来。为了增加肽段谱库的规模,可以在进行DDA之前,对用于生成肽段谱库的样本采用扩展的分离策略。这些策略对于含有少数非常高丰度蛋白质的生物样本(如脑脊液,CSF)特别重要,因为它们能扩大对低丰度蛋白质的鉴定。在脑脊液分离的情况下,合适的方法包括蛋白质的一维十二烷基硫酸钠聚丙烯酰胺凝胶电泳(1D SDS - PAGE)和高pH值反相肽段分级分离。这两种方法都基于不同的蛋白质/肽段特性,相互补充,且成本低廉,易于建立。理想情况下,用这两种方法生成的样本的DDA谱图结合起来以获得一个全面的谱库。