کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
3415398 | 1593657 | 2006 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Genome-wide transcriptional response of Yersinia pestis to stressful conditions simulating phagolysosomal environments
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
ایمونولوژی
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چکیده انگلیسی
Yersinia pestis is a Gram-negative coccobacillus causing the dangerous disease, plague. Survival of Y. pestis within host macrophages is important in the initial stages of infection. In our present work, DNA microarray was used to determine the expression profiles of Y. pestis strain 201 in response to in vitro simulating conditions of Mg2+ limitation, polymyxin treatment and oxidative stress that could be found in phagolysosomal environment. It was demonstrated that Y. pestis made appropriate adaptive/protective responses to survive the stressful environments. There are the induced expression of antiphagocytic factors and Mg2+ transporters under Mg2+ limitation condition, the stimulation of drug/analogue sensitivity and glycerol assimilation after polymyxin treatment, and the differential expression in genes encoding stress-responsive proteins, components of cell envelope, iron assimilation and regulatory functions in response to both Mg2+ limitation and polymyxin treatment. Under oxidative stress, Y. pestis uses several mechanisms, especially including the induced expression of detoxification enzymes and DNA repair proteins, to protect from or repair the oxidative cell damages. This microarray analysis would provide the candidates for identifying genes or pathways required for growth and proliferation of Y. pestis in macrophages.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microbes and Infection - Volume 8, Issues 12â13, October 2006, Pages 2669-2678
Journal: Microbes and Infection - Volume 8, Issues 12â13, October 2006, Pages 2669-2678
نویسندگان
Dongsheng Zhou, Yanping Han, Jingfu Qiu, Long Qin, Zhaobiao Guo, Xiaoyi Wang, Yajun Song, Yafang Tan, Zongmin Du, Ruifu Yang,