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淋巴母细胞系的效用。

Utility of lymphoblastoid cell lines.

作者信息

Sie L, Loong S, Tan E K

机构信息

Department of Neurology, Singapore General Hospital, National Neuroscience Institute, Singapore.

出版信息

J Neurosci Res. 2009 Jul;87(9):1953-9. doi: 10.1002/jnr.22000.

Abstract

Transformation of peripheral B lymphocytes by Epstein-Barr virus (EBV) is the method of choice for generating lymphoblastoid cell lines (LCLs). This method has been in use for the last two decades with a high success rate. With a somatic mutation rate of 0.3% and ease of cell maintenance, lymphoblastoid cells are still the preferred choice of storage for patients' genetic material. Studies have demonstrated a good correlation between using DNA from patient-derived LCLs and conventional sources for the purpose of genetic screening. RNAs from LCLs have also been utilized for detecting splice mutations in various diseases. There is increasing evidence that gene expression in LCLs encompasses a wide range of metabolic pathways that are specific to individuals where the cells originated, making LCLs suitable for molecular and functional studies. There have been efforts to produce a proteome map and database of lymphoblastoid cells by characterizing protein spots on a two-dimensional electrophoresis map. Proteomes from LCLs have been used in the elucidation of protein expression profile analysis of cellular response to DNA double-strand break, an approach now recognized as differential proteome analysis. Despite some inherent limitations, the utility of LCLs is increasingly recognized and with appropriate infrastructure and financial support, LCLs will be an important resource for genetic and functional research of neurological disorders.

摘要

爱泼斯坦-巴尔病毒(EBV)介导的外周B淋巴细胞转化是生成淋巴母细胞系(LCLs)的首选方法。在过去二十年中,该方法一直被使用,成功率很高。由于体细胞突变率为0.3%且细胞易于维持,淋巴母细胞仍然是患者遗传物质储存的首选。研究表明,在基因筛查中,使用来自患者来源的LCLs的DNA与传统来源的DNA具有良好的相关性。LCLs的RNA也已用于检测各种疾病中的剪接突变。越来越多的证据表明,LCLs中的基因表达涵盖了广泛的代谢途径,这些途径特定于细胞起源的个体,这使得LCLs适用于分子和功能研究。人们一直在努力通过表征二维电泳图谱上的蛋白质斑点来制作淋巴母细胞的蛋白质组图谱和数据库。LCLs的蛋白质组已用于阐明细胞对DNA双链断裂反应的蛋白质表达谱分析,这种方法现在被认为是差异蛋白质组分析。尽管存在一些固有的局限性,但LCLs的实用性越来越得到认可,并且有了适当的基础设施和资金支持,LCLs将成为神经疾病遗传和功能研究的重要资源。

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