A high-throughput in vivo selection method for luciferase variants
Sun, Meiling1,2; Fu, Zhicong2; Wang, Tao2; Cui, Xin2; Dong, Juan2; Du, Feng2; Huang, Xin2; Lu, Xue2; Chen, Gangyi2; Sun, Jian2
刊名SENSORS AND ACTUATORS B-CHEMICAL
2018
卷号273期号:2018页码:191-197
关键词Gaussia luciferase Selection method Bioluminescence Optical sensor
ISSN号0925-4005
DOI10.1016/j.snb.2018.06.047
产权排序1
文献子类Article
英文摘要Luciferase catalyzes its special substrate and light emits during the oxidation reaction, which is widely used as an optical sensor to monitor gene expression, protein-protein interaction and tumor response to therapy. However, limitations like the rapid decay, low stability and poor intensity of light emission make the optical signal hard to be captured in the sample detection. To obtain luciferase variants with improved features, traditional methods are usually based on CCD imaging technology or colony picking, which are low-throughput, time and labor consuming. Herein, we describe a novel luciferase screening method called fast library shrink method (FLSM), which could efficiently help select the desired mutant from the huge and complicated pool without analyzing the variants one by one. Based on FLSM, we successfully obtained one Gluc variant named M43IL119Q, which shows a 3-fold increase in the intensity of light emission as well as a stable light emission kinetics. The selection method is ready-to-use and cost-effective, thus making it a promising platform for the fast evolution of luciferases.
学科主题Spectroscopy ; Instrumentation/analytical Sciences
URL标识查看原文
WOS关键词GAUSSIA ; EXPRESSION ; CELLS ; ASSAY
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种英语
出版者ELSEVIER SCIENCE SA
WOS记录号WOS:000441519000025
内容类型期刊论文
源URL[http://210.75.237.14/handle/351003/30632]  
专题国家天然药物工程技术研究中心_天然产物研究
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Chengdu Inst Biol, Nat Prod Res Ctr, Chengdu 610041, Sichuan, Peoples R China;
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Sun, Meiling,Fu, Zhicong,Wang, Tao,et al. A high-throughput in vivo selection method for luciferase variants[J]. SENSORS AND ACTUATORS B-CHEMICAL,2018,273(2018):191-197.
APA Sun, Meiling.,Fu, Zhicong.,Wang, Tao.,Cui, Xin.,Dong, Juan.,...&Tang, Zhuo.(2018).A high-throughput in vivo selection method for luciferase variants.SENSORS AND ACTUATORS B-CHEMICAL,273(2018),191-197.
MLA Sun, Meiling,et al."A high-throughput in vivo selection method for luciferase variants".SENSORS AND ACTUATORS B-CHEMICAL 273.2018(2018):191-197.
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