Perkowski E F, Zulauf K E, Weerakoon D, Hayden J D, Ioerger T R, Oreper D, Gomez S M, Sacchettini J C, Braunstein M
Department of Microbiology and Immunology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.
Department of Computer Science and Engineering, Texas A&M University, College Station, Texas, USA.
mBio. 2017 Apr 25;8(2):e00333-17. doi: 10.1128/mBio.00333-17.
Exported proteins of bacterial pathogens function both in essential physiological processes and in virulence. Past efforts to identify exported proteins were limited by the use of bacteria growing under laboratory () conditions. Thus, exported proteins that are exported only or preferentially in the context of infection may be overlooked. To solve this problem, we developed a genome-wide method, named EXIT (ported echnology), to identify proteins that are exported by bacteria during infection and applied it to during murine infection. Our studies validate the power of EXIT to identify proteins exported during infection on an unprecedented scale (593 proteins) and to reveal induced exported proteins (i.e., proteins exported significantly more during infection than ). Our EXIT data also provide an unmatched resource for mapping the topology of membrane proteins. As a new approach for identifying exported proteins, EXIT has potential applicability to other pathogens and experimental conditions. There is long-standing interest in identifying exported proteins of bacteria as they play critical roles in physiology and virulence and are commonly immunogenic antigens and targets of antibiotics. While significant effort has been made to identify the bacterial proteins that are exported beyond the cytoplasm to the membrane, cell wall, or host environment, current methods to identify exported proteins are limited by their use of bacteria growing under laboratory () conditions. Because conditions do not mimic the complexity of the host environment, critical exported proteins that are preferentially exported in the context of infection may be overlooked. We developed a novel method to identify proteins that are exported by bacteria during host infection and applied it to identify proteins exported in a mouse model of tuberculosis.
细菌病原体的输出蛋白在基本生理过程和毒力方面都发挥作用。过去识别输出蛋白的努力受到在实验室()条件下培养细菌的限制。因此,仅在感染情况下输出或优先输出的输出蛋白可能会被忽视。为了解决这个问题,我们开发了一种全基因组方法,名为EXIT(输出技术),以识别细菌在感染期间输出的蛋白,并将其应用于小鼠感染期间的(研究对象未明确)。我们的研究验证了EXIT在前所未有的规模(593种蛋白)上识别感染期间输出蛋白的能力,并揭示了诱导输出蛋白(即感染期间输出量显著多于(对比对象未明确)的蛋白)。我们的EXIT数据还为绘制(研究对象未明确)膜蛋白的拓扑结构提供了无与伦比的资源。作为一种识别输出蛋白的新方法,EXIT在其他病原体和实验条件下具有潜在的适用性。长期以来,人们一直对识别细菌的输出蛋白感兴趣,因为它们在生理学和毒力中起关键作用,并且通常是免疫原性抗原和抗生素的靶点。虽然已经做出了巨大努力来识别从细胞质输出到膜、细胞壁或宿主环境的细菌蛋白,但目前识别输出蛋白的方法受到在实验室()条件下培养细菌的限制。由于()条件不能模拟宿主环境的复杂性,在感染情况下优先输出的关键输出蛋白可能会被忽视。我们开发了一种新方法来识别宿主感染期间细菌输出的蛋白,并将其应用于识别在结核病小鼠模型中输出的(研究对象未明确)蛋白。