Center for Proteomics and Metabolomics, Leiden University Medical Center , Albinusdreef 2, Leiden 2300 RC, The Netherlands.
J Proteome Res. 2014 Mar 7;13(3):1537-44. doi: 10.1021/pr4010585. Epub 2014 Feb 5.
Spectral libraries provide a sensitive and accurate method for identifying peptides from tandem mass spectra, complementary to searching genome-derived databases or sequencing de novo. Their application requires comprehensive libraries including peptides from low-abundant proteins. Here we describe a method for constructing such libraries using biological differentiation to "fractionate" the proteome by harvesting adult organs and tissues and build comprehensive libraries for identifying proteins in zebrafish (Danio rerio) embryos and larvae (an important and widely used model system). Hierarchical clustering using direct comparison of spectra was used to prioritize organ selection. The resulting and publicly available library covers 14,164 proteins, significantly improved the number of peptide-spectrum matches in zebrafish developmental stages, and can be used on data from different instruments and laboratories. The library contains information on tissue and organ expression of these proteins and is also applicable for adult experiments. The approach itself is not limited to zebrafish but would work for any model system.
光谱库为从串联质谱中鉴定肽提供了一种敏感和准确的方法,与搜索基于基因组的数据库或从头测序互补。它们的应用需要包括低丰度蛋白质的肽的综合文库。在这里,我们描述了一种使用生物差异构建此类文库的方法,通过收获成年器官和组织来“分离”蛋白质组,并为鉴定斑马鱼(Danio rerio)胚胎和幼虫中的蛋白质构建综合文库(这是一个重要且广泛使用的模型系统)。使用直接比较光谱的层次聚类来优先选择器官选择。由此产生的和公开可用的文库涵盖了 14164 种蛋白质,大大增加了斑马鱼发育阶段的肽-谱匹配数量,并且可以用于来自不同仪器和实验室的数据。该文库包含这些蛋白质在组织和器官表达的信息,也适用于成年实验。该方法本身不仅限于斑马鱼,而是适用于任何模型系统。