发病机制过程中的转录组重编程。
Reprogramming the transcriptome during pathogenesis.
作者信息
Waddell Simon J
机构信息
Brighton and Sussex Medical School, University of Sussex, Brighton BN1 9PX, United Kingdom.
出版信息
Drug Discov Today Dis Mech. 2010 Spring;7(1):e67-e73. doi: 10.1016/j.ddmec.2010.09.007.
Abstract
Transcriptional profiling has revealed that adapts both its metabolic and respiratory states during infection, utilising lipids as a carbon source and switching to alternative electron acceptors. These global gene expression datasets may be exploited to identify virulence determinants and to screen for new targets for rational drug design. Characterising the changing physiological predicament of distinct populations during infection will help expose the fundamental biology of highlighting mechanisms that influence tuberculosis pathogenicity.
摘要
转录谱分析表明，其在感染过程中会调整代谢和呼吸状态，利用脂质作为碳源并转向替代电子受体。这些全局基因表达数据集可用于识别毒力决定因素，并筛选合理药物设计的新靶点。表征感染过程中不同群体不断变化的生理困境将有助于揭示其基本生物学特性，突出影响结核病致病性的机制。
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