HOST-PATHOGEN GENE EXPRESSION DURING A PULMONARY MYCOBAC

结核分枝杆菌（Mtb）对免疫功能低下和免疫功能正常的人群都是一个重大威胁。 结核分枝杆菌是一种细胞内生物，具有极其复杂的生命周期，包括对正常宿主防御机制的抵抗和随后的潜伏状态的发展。 类似地，宿主对Mtb感染的反应是一系列复杂的免疫事件，导致肉芽肿性炎症以控制Mtb增殖，随后形成肉芽肿，其维持Mtb处于潜伏状态。 耐药结核分枝杆菌菌株的发展使其发病机制的理解成为高度优先事项，以确定抗生素和免疫调节干预的潜在靶点。 结核分枝杆菌基因组的最新测序提供了一个令人兴奋的数据库，有助于剖析结核分枝杆菌的发病机制。 连同微阵列技术在体内感染中的应用，有可能在感染的不同阶段进行全基因组表达的分析。 我们假设，在宿主与结核分枝杆菌之间的动态相互作用过程中，环境中存在一系列变化，这些变化导致增强宿主和结核分枝杆菌存活的基因的差异表达。 我们打算使用微阵列分析，以确定在肺部感染结核分枝杆菌在小鼠中发生的基因表达。 我们将使用包含结核分枝杆菌基因组的所有开放阅读框的阵列以及包含约100个免疫应答鼠基因的阵列。这将使我们能够将导致生物体变化的宿主变化联系起来。 最后，我们将使用基于荧光素酶的体内技术来真实的跟踪结核分枝杆菌感染和基因表达。 该模型的开发将提供用于使用比标准测定更少的小鼠来测试治疗干预的高通量系统，以及显著增强我们监测体内特异性Mtb基因表达的能力。

Mycobacterium tuberculosis (Mtb) is a significant threat to both immunocompromised and immunocompetent populations. Mtb is an intracellular organism with an extremely complicated life cycle involving resistance to normal host defense mechanisms and subsequent development of a latent state. Similarly, the host response to Mtb infection is a complex series of immune events resulting in granulomatous inflammation to control Mtb proliferation with subsequent formation of granulomas that maintain Mtb in a latent state. The development of drug resistant Mtb strains has made the understanding of its pathogenesis a high priority in order to identify potential targets for antibiotics and immunomodulatory interventions. The recent sequencing of the Mtb genome has provided an exciting database for aiding in dissecting Mtb pathogenesis. Together with the application of microarray technology to in vivo infections, there is the potential for an analysis of genome wide expression during different stages of infection. We hypothesize that during the dynamic interactions between the host and the Mtb there is a series of changes in the environment that lead to differential expression of genes that enhance survival for both the host and the Mtb. We intend to use microarray analysis to determine the gene expression that occurs during a pulmonary infection with Mtb in the mouse. We will use arrays that contain all open reading frames of the Mtb genome as well as an array containing approximately 100 immunoresponsive murine genes. This will allow us to correlate changes in the host that result in changes in the organism. Finally, we will use an in vivo luciferase based technology to track Mtb infections and gene expression in real time. The development of this model will provide a high through put system for testing therapeutic interventions using fewer mice than standard assays as well as significantly enhance our ability to monitor specific Mtb gene expression in vivo.