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Mouse Quantitative Proteomics Knowledgebase: reference protein concentration ranges in 20 mouse tissues using 5000 quantitative proteomics assays

蛋白质组学 计算生物学 定量蛋白质组学 生物 实验鼠 基因 生物信息学 遗传学
作者
Yassene Mohammed,Pallab Bhowmick,Sarah Michaud,Albert Sickmann,Christoph H. Borchers
出处
期刊:Bioinformatics [Oxford University Press]
卷期号:37 (13): 1900-1908 被引量:6
标识
DOI:10.1093/bioinformatics/btab018
摘要

Abstract MotivationLaboratory mouse is the most used animal model in biological research, largely due to its high conserved synteny with human. Researchers use mice to answer various questions ranging from determining a pathological effect of knocked out/in gene to understanding drug metabolism. Our group developed >5000 quantitative targeted proteomics assays for 20 mouse tissues and determined the concentration ranges of a total of >1600 proteins using heavy labeled internal standards. We describe here MouseQuaPro; a knowledgebase that hosts this collection of carefully curated experimental data. ResultsThe web-based application includes protein concentrations from >700 mouse tissue samples from three common research strains, corresponding to >200k experimentally determined concentrations. The knowledgebase integrates the assay and protein concentration information with their human orthologs, functional and molecular annotations, biological pathways, related human diseases and known gene expressions. At its core are the protein concentration ranges, which provide insights into (dis)similarities between tissues, strains and sexes. MouseQuaPro implements advanced search as well as filtering functionalities with a simple interface and interactive visualization. This information-rich resource provides an initial map of protein absolute concentration in mouse tissues and allows guided design of proteomics phenotyping experiments. The knowledgebase is available on mousequapro.proteincentre.com. Availability and implementation The knowledgebase is available free of charge on http://mousequapro.proteincentre.com. Supplementary information Supplementary data are available at Bioinformatics online.

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