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Biophotonics: Directed Evolution of GFP-based Probes for Glucose

Biophotonics: Directed Evolution of GFP-based Probes for Glucose
生物光子学:基于 GFP 的葡萄糖探针的定向进化
批准号:
0086920
负责人:
Neal Woodbury
金额:
$26.79万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2004-02-29

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英文摘要
0086920WoodburyThe applicants proposed to develop a glucose biosensor using a directed evolution approach based on the green fluorescent protein (GFP). A library of DNA sequences encoding glucose binding motifs will be inserted into an appropriate position in the gene for GFP and directed evolution methods will be applied to generate a bioprobe that fluoresces much more brightly when bound to glucose than in the unbound state. High throughput screening of fluorescence from microcolonies will be performed using a high resolution CCD camera. The selection of individual microcolonies will then be performed using a novel photolithography based approach in which a digital light processor is used to image UV light onto bacterial plates with high resolution (patterned cell growth). The remaining live bacteria will be grown, plasmids isolated and subsequent rounds of directed evolution will be initiated using a combination of error prone PCR and DNA shuffling to generate additional variation in the gene sequence. Screening of colonies in later stages of the directed evolution will also take advantage of fluorescence lifetime imaging using a scanning confocal microscope and a mode-locked laser. This will help to discriminate between variations in the glucose binding constant and changes in the GFP fluorescence lifetime upon binding. GFP-based probes generated in this way have the advantage that they can either be expressed in E. coli, purified and used directly for biosensor applications without modification, or they can be expressed in modified host cells generating a living biosensor that constantly replenishes the sensor molecule. This procedure for generating GFP-based bioprobes is general and can be applied to a large number of potential target molecules.
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  • 资助金额:
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  • 批准年份:
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