Creecy James P, Conway Tyrrell
Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, United States; Department of Biology, University of Central Oklahoma, Edmond, OK 73034, United States.
Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, United States.
Curr Opin Microbiol. 2015 Feb;23:133-40. doi: 10.1016/j.mib.2014.11.011. Epub 2014 Dec 5.
RNA sequencing has emerged as the premier approach to study bacterial transcriptomes. While the earliest published studies analyzed the data qualitatively, the data are readily digitized and lend themselves to quantitative analysis. High-resolution RNA sequence (RNA-seq) data allows transcriptional features (promoters, terminators, operons, among others) to be pinpointed on any bacterial transcriptome. Once the transcriptome is mapped, the activity of transcriptional features can be quantified. Here we highlight how quantitative transcriptome analysis can reveal biological insights and briefly discuss some of the challenges to be faced by the field of bacterial transcriptomics in the near future.
RNA测序已成为研究细菌转录组的首要方法。虽然最早发表的研究对数据进行定性分析,但这些数据很容易数字化并适合进行定量分析。高分辨率RNA序列(RNA-seq)数据能够在任何细菌转录组上精确确定转录特征(如启动子、终止子、操纵子等)。一旦转录组被绘制出来,转录特征的活性就可以被量化。在这里,我们强调定量转录组分析如何揭示生物学见解,并简要讨论细菌转录组学领域在不久的将来将面临的一些挑战。