红毛藓对氟胞嘧啶反应的全球转录谱。

Rong Zhao, Wen Bin, YouJiang Diao, Jian Yang, Tao Liu, JunPing Peng, Qi Jin
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引用次数: 5

摘要

红毛霉(T.rubrum)是最常见的人类真菌病原体之一,可引起皮肤和指甲的慢性感染。为了鉴定抗真菌应答基因,研究人员对T. rubrum进行了cDNA芯片分析,以揭示5-氟胞嘧啶(5-FC)药物特异性应答的全球转录谱。利用红毛毡表达序列标签(est)数据库构建cDNA芯片,测定5-FC的最小抑制浓度(MIC),并进行芯片杂交和数据分析。通过实时定量逆转录聚合酶链反应(RT-PCR)证实了芯片观察到的7个基因的表达模式。数据分析表明,共有474个基因存在差异表达,其中196个基因表达增加,278个基因表达减少。参与核苷酸代谢(如CDC21)、转录(如E2F1)和RNA加工(如SGN1、RIM4和NOP1)的基因显著下调。其他参与信号转导、伴侣、无机离子转运、次生代谢物生物合成、氨基酸转运、脂质转运和潜在耐药机制的基因也受到5-FC的影响。所选基因的实时定量RT-PCR证实了芯片结果的可靠性。这是首次对红毛霉对5-FC的转录谱进行分析。这些发现可能对鉴定5-FC的作用机制和抗真菌耐药机制相关基因有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global transcriptional profiles of Trichophyton rubrum in response to Flucytosine.

Trichophyton rubrum (T.rubrum) is one of the most common human fungal pathogens that cause chronic infections of the skin and nails. To identify antifungal responsive genes, cDNA microarray analysis was performed for T. rubrum to reveal global transcriptional profiles of drug-specific responses to 5-Flucytosine (5-FC). cDNA microarray was constructed from the T. rubrum expressed sequence tag (ESTs) database, the minimum inhibitory concentration (MIC) of 5-FC was determined, and microarray hybridization and data analysis were applied. The expression pattern of 7 genes observed by microarray was confirmed by the quantitative real-time reverser transcription polymerase chain reaction (RT-PCR). Data analysis indicated that a total of 474 genes were found differentially expressed, 196 showed an increase in expression and 278 showed a decrease in expression. Marked down-regulation of genes involved in nucleotide metabolism (such as CDC21), transcription (such as E2F1), and RNA processing (such as SGN1, RIM4 and NOP1) was observed. Other genes involved in signal transduction, chaperones, inorganic ion transport, secondary metabolite biosynthesis, amino acid transport, lipid transport and potential drug resistance mechanism were also affected by 5-FC. Quantitative real-time RT-PCR of the selected genes confirmed the reliability of the microarray results. This is the first analysis of transcriptional profiles in response to 5-FC for T. rubrum. The findings may be valuable for the identification of genes involved in mechanisms of action and mechanisms of antifungal drug resistance of 5-FC.

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