中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fluorometric assays for characterizing DNA helicases

文献类型:期刊论文

作者Dou, SX ; Xi, XG
刊名METHODS
出版日期2010
卷号51期号:3页码:295
关键词STRAND-ANNEALING ACTIVITIES HEPATITIS-C VIRUS HUMAN RECQ5-BETA BINDING FLUORESCENCE PROTEIN PROCESSIVITY TRANSLOCASES MECHANISMS ENZYME
ISSN号1046-2023
通讯作者Dou, SX: Chinese Acad Sci, Inst Phys, Key Lab Soft Matter Phys, Beijing 100190, Peoples R China.
中文摘要DNA helicases belong to an important class of motor proteins and are involved in almost all aspects of DNA metabolism. They hydrolyze NTP to translocate along ssDNA and unwind dsDNA by relying on chemical to physical energy transfer processes that are achieved via nucleotide-state-dependent conformational changes. For understanding the mechanisms by which helicases unwind DNA as well as their cellular functions, various properties of helicases need to be characterized. For these purposes, many assays have been developed, among which fluorometric assays are in the majority. Fluorometric assays are generally simple, direct and convenient to perform. Here we introduce several frequently used fluorometric assays for determining the basic properties of DNA helicases such as equilibrium ATP and DNA binding, kinetics of dissociation from DNA substrate and kinetics of DNA unwinding. Problems that may be encountered in experiments and possible ways to circumvent them are discussed. (C) 2010 Elsevier Inc. All rights reserved.
收录类别SCI
资助信息National Natural Science Foundation of China; 973 Project; Institut Curie and the Centre National de la Recherche Scientifique (CNRS)
语种英语
公开日期2013-09-17
源URL[http://ir.iphy.ac.cn/handle/311004/38303]  
专题物理研究所_物理所公开发表论文_物理所公开发表论文_期刊论文
推荐引用方式
GB/T 7714
Dou, SX,Xi, XG. Fluorometric assays for characterizing DNA helicases[J]. METHODS,2010,51(3):295.
APA Dou, SX,&Xi, XG.(2010).Fluorometric assays for characterizing DNA helicases.METHODS,51(3),295.
MLA Dou, SX,et al."Fluorometric assays for characterizing DNA helicases".METHODS 51.3(2010):295.

入库方式: OAI收割

来源:物理研究所

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