微流控
化学
纳米技术
高通量筛选
接口
模块化设计
计算生物学
脂类学
吞吐量
工作流程
计算机科学
生物化学
计算机硬件
操作系统
生物
数据库
材料科学
无线
电信
作者
Maximilian Gantz,Stefanie Neun,Elliot J. Medcalf,Liisa van Vliet,Florian Hollfelder
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2023-05-01
卷期号:123 (9): 5571-5611
被引量:83
标识
DOI:10.1021/acs.chemrev.2c00910
摘要
Novel and improved biocatalysts are increasingly sourced from libraries via experimental screening. The success of such campaigns is crucially dependent on the number of candidates tested. Water-in-oil emulsion droplets can replace the classical test tube, to provide in vitro compartments as an alternative screening format, containing genotype and phenotype and enabling a readout of function. The scale-down to micrometer droplet diameters and picoliter volumes brings about a >107-fold volume reduction compared to 96-well-plate screening. Droplets made in automated microfluidic devices can be integrated into modular workflows to set up multistep screening protocols involving various detection modes to sort >107 variants a day with kHz frequencies. The repertoire of assays available for droplet screening covers all seven enzyme commission (EC) number classes, setting the stage for widespread use of droplet microfluidics in everyday biochemical experiments. We review the practicalities of adapting droplet screening for enzyme discovery and for detailed kinetic characterization. These new ways of working will not just accelerate discovery experiments currently limited by screening capacity but profoundly change the paradigms we can probe. By interfacing the results of ultrahigh-throughput droplet screening with next-generation sequencing and deep learning, strategies for directed evolution can be implemented, examined, and evaluated.
科研通智能强力驱动
Strongly Powered by AbleSci AI