Aikawa Chihiro, Maruyama Fumito, Nakagawa Ichiro
Section of Bacterial Pathogenesis, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University Tokyo, Japan.
Front Microbiol. 2010 Nov 5;1:118. doi: 10.3389/fmicb.2010.00118. eCollection 2010.
Bacteria rapidly change their transcriptional patterns during infection in order to adapt to the host environment. To investigate host-bacteria interactions, various strategies including the use of animal infection models, in vitro assay systems and microscopic observations have been used. However, these studies primarily focused on a few specific genes and molecules in bacteria. High-density tiling arrays and massively parallel sequencing analyses are rapidly improving our understanding of the complex host-bacterial interactions through identification and characterization of bacterial transcriptomes. Information resulting from these high-throughput techniques will continue to provide novel information on the complexity, plasticity, and regulation of bacterial transcriptomes as well as their adaptive responses relative to pathogenecity. Here we summarize recent studies using these new technologies and discuss the utility of transcriptome analysis.
细菌在感染过程中会迅速改变其转录模式，以适应宿主环境。为了研究宿主与细菌之间的相互作用，人们采用了多种策略，包括使用动物感染模型、体外分析系统和显微镜观察等。然而，这些研究主要集中在细菌中的少数特定基因和分子上。高密度平铺阵列和大规模平行测序分析正通过对细菌转录组的鉴定和表征，迅速增进我们对复杂的宿主-细菌相互作用的理解。这些高通量技术所产生的信息将继续提供有关细菌转录组的复杂性、可塑性和调控以及它们相对于致病性的适应性反应的新信息。在此，我们总结了使用这些新技术的近期研究，并讨论了转录组分析的实用性。
