Microarray-Based Comparative Genomic and Transcriptome Analysis of Borrelia burgdorferi.

Radha Iyer, Ira Schwartz
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引用次数: 23

Abstract

Borrelia burgdorferi, the spirochetal agent of Lyme disease, is maintained in nature in a cycle involving a tick vector and a mammalian host. Adaptation to the diverse conditions of temperature, pH, oxygen tension and nutrient availability in these two environments requires the precise orchestration of gene expression. Over 25 microarray analyses relating to B. burgdorferi genomics and transcriptomics have been published. The majority of these studies has explored the global transcriptome under a variety of conditions and has contributed substantially to the current understanding of B. burgdorferi transcriptional regulation. In this review, we present a summary of these studies with particular focus on those that helped define the roles of transcriptional regulators in modulating gene expression in the tick and mammalian milieus. By performing comparative analysis of results derived from the published microarray expression profiling studies, we identified composite gene lists comprising differentially expressed genes in these two environments. Further, we explored the overlap between the regulatory circuits that function during the tick and mammalian phases of the enzootic cycle. Taken together, the data indicate that there is interplay among the distinct signaling pathways that function in feeding ticks and during adaptation to growth in the mammal.

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基于微阵列的伯氏疏螺旋体比较基因组和转录组分析。
伯氏疏螺旋体是莱姆病的螺旋体病原体,在自然界中以蜱虫媒介和哺乳动物宿主的循环形式存在。在这两种环境中适应不同的温度、pH值、氧张力和养分可用性需要精确的基因表达协调。超过25个与伯氏疏螺旋体基因组学和转录组学相关的微阵列分析已经发表。这些研究大多探索了多种条件下的全局转录组,并为目前对伯氏疏螺旋体转录调控的理解做出了重大贡献。在这篇综述中,我们对这些研究进行了总结,特别关注那些有助于定义在蜱虫和哺乳动物环境中转录调节因子在调节基因表达中的作用的研究。通过对已发表的微阵列表达谱研究结果进行比较分析,我们确定了在这两种环境中包含差异表达基因的复合基因列表。此外,我们还探索了蜱虫和哺乳动物在地方性动物循环阶段的调节回路之间的重叠。综上所述,这些数据表明,在喂养蜱虫和哺乳动物适应生长过程中,不同的信号通路之间存在相互作用。
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来源期刊
自引率
0.00%
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0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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