Suppr超能文献

从鼠肝中分离用于蛋白质组学研究的单细胞类型的样品制备方法。

Sample preparation method for isolation of single-cell types from mouse liver for proteomic studies.

机构信息

State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P R China.

出版信息

Proteomics. 2011 Sep;11(17):3556-64. doi: 10.1002/pmic.201100157. Epub 2011 Aug 1.

Abstract

It becomes increasingly clear that separation of pure cell populations provides a uniquely sensitive and accurate approach to protein profiling in biological systems and opens up a new area for proteomic analysis. The method we described could simultaneously isolate population of hepatocytes (HCs), hepatic stellate cells (HSCs), Kupffer cells (KCs) and liver sinusoidal endothelial cells (LSECs) by a combination of collagenase-based density gradient centrifugation and magnetic activated cell sorting with high purity and yield for the first time. More than 98% of the isolated HCs were positive for cytokeratin 18, with a viability of 91%. Approximately 97% of the isolated HSCs expressed glial fibrillary acidic protein with a viability of 95%. Nearly 98% of isolated KCs expressed F4/80 with a viability of 94%. And the purity of LSECs reached up to 91% with a viability of 94%. And yield for HCs, HSCs, LSECs and KCs were 6.3, 1.3, 2.6 and 5.0 million per mouse. This systematic isolation method enables us to study the proteome profiling of different types of liver cells with high purity and yield, which is especially useful for sample preparation of Human Liver Proteome Project.

摘要

越来越明显的是,分离纯细胞群体为生物系统中的蛋白质谱分析提供了一种独特的敏感和准确的方法,并为蛋白质组学分析开辟了一个新的领域。我们描述的方法首次成功地结合胶原酶密度梯度离心和磁激活细胞分选,同时分离高纯度和高产量的肝细胞 (HCs)、肝星状细胞 (HSCs)、库普弗细胞 (KCs) 和肝窦内皮细胞 (LSECs)。分离的 HCs 中超过 98%的细胞角蛋白 18 阳性,活力为 91%。分离的 HSCs 中约有 97%表达神经胶质纤维酸性蛋白,活力为 95%。分离的 KCs 中近 98%表达 F4/80,活力为 94%。LSEC 的纯度达到 91%,活力为 94%。HCs、HSCs、LSECs 和 KCs 的产量分别为每只小鼠 630 万、130 万、260 万和 500 万。这种系统的分离方法使我们能够以高纯度和高产量研究不同类型的肝细胞的蛋白质组谱,这对于人类肝脏蛋白质组计划的样品制备特别有用。

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