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生成一个用于定量分析超过 11000 种蛋白质的小鼠 SWATH-MS 光谱库。

Generation of a murine SWATH-MS spectral library to quantify more than 11,000 proteins.

机构信息

State Key Laboratory of Cellular Stress Biology, Innovation Center for Cellular Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China.

Department of Gastrointestinal Surgery, Zhongshan Hospital of Xiamen University, Xiamen, China.

出版信息

Sci Data. 2020 Mar 26;7(1):104. doi: 10.1038/s41597-020-0449-z.

Abstract

Targeted SWATH-MS data analysis is critically dependent on the spectral library. Comprehensive spectral libraries of human or several other organisms have been published, but the extensive spectral library for mouse, a widely used model organism is not available. Here, we present a large murine spectral library covering more than 11,000 proteins and 240,000 proteotypic peptides, which included proteins derived from 9 murine tissue samples and one murine L929 cell line. This resource supports the quantification of 67% of all murine proteins annotated by UniProtKB/Swiss-Prot. Furthermore, we applied the spectral library to SWATH-MS data from murine tissue samples. Data are available via SWATHAtlas (PASS01441).

摘要

靶向 SWATH-MS 数据分析严重依赖于光谱库。已经发表了人类或其他几种生物体的全面光谱库,但广泛使用的模式生物小鼠的广泛光谱库尚不可用。在这里,我们展示了一个包含超过 11000 种蛋白质和 240000 种蛋白质特征肽的大型鼠光谱库,其中包括来自 9 种鼠组织样本和 1 种鼠 L929 细胞系的蛋白质。该资源支持定量分析 UniProtKB/Swiss-Prot 注释的所有小鼠蛋白质的 67%。此外,我们将光谱库应用于来自鼠组织样本的 SWATH-MS 数据。数据可通过 SWATHAtlas(PASS01441)获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56f/7099061/0b947c99ae7e/41597_2020_449_Fig1_HTML.jpg

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