Suppr超能文献

一种利用基于溶解度的顺序分级分离和二维凝胶电泳对小鼠软骨进行蛋白质组学表征的稳健方法。

A robust method for proteomic characterization of mouse cartilage using solubility-based sequential fractionation and two-dimensional gel electrophoresis.

作者信息

Wilson Richard, Bateman John F

机构信息

Murdoch Childrens Research Institute, University of Melbourne, Royal Children's Hospital, Parkville, Victoria 3052, Australia.

出版信息

Matrix Biol. 2008 Oct;27(8):709-12. doi: 10.1016/j.matbio.2008.07.007. Epub 2008 Aug 16.

Abstract

Identification of protein expression differences using two-dimensional electrophoresis (2-DE) and multidimensional liquid chromatography (MDLC)-based proteomics depends critically on reproducibility throughout sample preparation and analysis. This applies particularly where sample fractionation is used to remove high abundance or interfering components to facilitate deeper mining of the proteome. Here we present a procedure for solubility-based cartilage fractionation using sequential extraction with 1 M sodium chloride followed by 4 M guanidinium hydrochloride. We characterized the extracts by 1-D electrophoresis and immunoblotting for individual cellular and matrix components and more globally by 2-DE. In general, NaCl extracts were highly enriched for cellular proteins and GuHCl extracts were predominantly matrix components, with some interesting exceptions. Importantly, we observed high inter-sample reproducibility and strong correlation between targeted and global analysis, indicating that our method can be applied to differential proteomic analysis of normal and pathological cartilage sub-proteomes.

摘要

使用基于二维电泳(2-DE)和多维液相色谱(MDLC)的蛋白质组学来鉴定蛋白质表达差异,在整个样品制备和分析过程中,关键取决于可重复性。这在使用样品分级分离来去除高丰度或干扰成分以促进蛋白质组更深入挖掘的情况下尤其适用。在此,我们介绍一种基于溶解度的软骨分级分离方法,即先用1 M氯化钠进行连续提取,然后用4 M盐酸胍进行提取。我们通过一维电泳和免疫印迹对提取物中的单个细胞和基质成分进行了表征,并通过二维电泳进行了更全面的表征。一般来说,NaCl提取物富含细胞蛋白,而GuHCl提取物主要是基质成分,但也有一些有趣的例外情况。重要的是,我们观察到样品间具有高度的可重复性,并且靶向分析与全面分析之间具有很强的相关性,这表明我们的方法可应用于正常和病理软骨亚蛋白质组的差异蛋白质组学分析。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验