Connecting Microbial Population Genetics with Microbial Pathogenesis Engineering Microfluidic Cell Arrays for High-throughput Interrogation of Host-Pathogen Interaction

P. Sethu, K. Putty, Y. Lian, A. Kalia
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引用次数: 2

Abstract

A bacterial species typically includes heterogeneous collections of genetically diverse isolates. How genetic diversity within bacterial populations influences the clinical outcome of infection remains mostly indeterminate. In part, this is due to a lack of technologies that can enable contemporaneous systemslevel interrogation of host-pathogen interaction using multiple, genetically diverse bacterial strains. This chapter presents a prototype microfluidic cell array (MCA) that allows simultaneous elucidation of molecular events during infection of human cells in a semi-automated fashion. It shows that infection of human cells with up to sixteen genetically diverse bacterial isolates can be studied simultaneously. The versatility of MCAs is enhanced by incorporation of a gradient generator that allows interrogation of host-pathogen interaction under four different concentrations of any given environmental variable at the same time. Availability of high throughput MCAs should foster studies that can determine how differences in bacterial gene pools and concentration-dependent environmental variables affect the outcome of host-pathogen interaction.
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连接微生物群体遗传学与微生物发病机理工程的微流控细胞阵列高通量询问宿主-病原体相互作用
一个细菌物种通常包括基因不同的分离物的异质集合。细菌种群内的遗传多样性如何影响感染的临床结果仍然不确定。在某种程度上,这是由于缺乏能够使用多种遗传多样的细菌菌株对宿主-病原体相互作用进行同步系统级调查的技术。本章介绍了一个原型微流控细胞阵列(MCA),允许在半自动化的方式感染人类细胞期间同时阐明分子事件。这表明,可以同时研究多达16种遗传多样化的细菌分离株对人类细胞的感染。MCAs的多功能性通过结合一个梯度发生器得到增强,该梯度发生器允许同时在四种不同浓度的任何给定环境变量下询问宿主-病原体相互作用。高通量MCAs的可用性应该促进研究,以确定细菌基因库和浓度依赖性环境变量的差异如何影响宿主-病原体相互作用的结果。
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