小鼠肝微粒体的蛋白质组学和生物信息学分析。

International journal of proteomics Pub Date : 2012-01-01 Epub Date: 2012-03-20 DOI:10.1155/2012/832569
Fang Peng, Xianquan Zhan, Mao-Yu Li, Fan Fang, Guoqing Li, Cui Li, Peng-Fei Zhang, Zhuchu Chen
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引用次数: 14

摘要

微粒体主要来源于内质网,是研究化合物代谢、膜结合酶功能、脂蛋白相互作用和药物-药物相互作用的理想靶点。为了更好地了解肝脏及其疾病的分子机制,采用差速离心和蔗糖梯度离心分离和富集小鼠肝微粒体,并采用碳酸盐岩法从分离的微粒体中进一步提取微粒体膜蛋白。用二维凝胶电泳(2DE)对富集的微粒体蛋白进行排列,用一维凝胶电泳(1DE)对碳酸盐提取的微粒体膜蛋白进行排列。串联质谱法共鉴定了183个2de阵列蛋白和99个1de分离蛋白。共获得259个非冗余微粒体蛋白,代表了小鼠肝微粒体的蛋白质组学特征,其中包括62个确定的微粒体膜蛋白。全面的生物信息学分析揭示了这些微粒体蛋白的功能分类,为研究肝脏的生物学功能提供了线索。对小鼠肝微粒体蛋白质组学的系统分析不仅揭示了肝脏生物学功能的重要信息,而且为肝脏疾病相关微粒体蛋白质的分析提供了重要的参考数据,为发现生物标志物和阐明肝脏疾病的机制提供了重要的参考数据。
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Proteomic and bioinformatics analyses of mouse liver microsomes.

Microsomes are derived mostly from endoplasmic reticulum and are an ideal target to investigate compound metabolism, membrane-bound enzyme functions, lipid-protein interactions, and drug-drug interactions. To better understand the molecular mechanisms of the liver and its diseases, mouse liver microsomes were isolated and enriched with differential centrifugation and sucrose gradient centrifugation, and microsome membrane proteins were further extracted from isolated microsomal fractions by the carbonate method. The enriched microsome proteins were arrayed with two-dimensional gel electrophoresis (2DE) and carbonate-extracted microsome membrane proteins with one-dimensional gel electrophoresis (1DE). A total of 183 2DE-arrayed proteins and 99 1DE-separated proteins were identified with tandem mass spectrometry. A total of 259 nonredundant microsomal proteins were obtained and represent the proteomic profile of mouse liver microsomes, including 62 definite microsome membrane proteins. The comprehensive bioinformatics analyses revealed the functional categories of those microsome proteins and provided clues into biological functions of the liver. The systematic analyses of the proteomic profile of mouse liver microsomes not only reveal essential, valuable information about the biological function of the liver, but they also provide important reference data to analyze liver disease-related microsome proteins for biomarker discovery and mechanism clarification of liver disease.

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