Jeong Kyeong Soo, Xie Yang, Hiasa Hiroshi, Khodursky Arkady B
Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, St. Paul, Minnesota, United States of America.
PLoS Genet. 2006 Sep 29;2(9):e152. doi: 10.1371/journal.pgen.0020152. Epub 2006 Aug 2.
Genetic and environmental perturbations often result in complex transcriptional responses involving multiple genes and regulons. In order to understand the nature of a response, one has to account for the contribution of the downstream effects to the formation of a response. Such analysis can be carried out within a statistical framework in which the individual effects are independently collected and then combined within a linear model. Here, we modeled the contribution of DNA replication, supercoiling, and repair to the transcriptional response of inhibition of the Escherichia coli gyrase. By representing the gyrase inhibition as a true pleiotropic phenomenon, we were able to demonstrate that: (1) DNA replication is required for the formation of spatial transcriptional domains; (2) the transcriptional response to the gyrase inhibition is coordinated between at least two modules involved in DNA maintenance, relaxation and damage response; (3) the genes whose transcriptional response to the gyrase inhibition does not depend on the main relaxation activity of the cell can be classified on the basis of a GC excess in their upstream and coding sequences; and (4) relaxation by topoisomerase I dominates the transcriptional response, followed by the effects of replication and RecA. We functionally tested the effect of the interaction between relaxation and repair activities, and found support for the model derived from the microarray data. We conclude that modeling compound transcriptional profiles as a combination of downstream transcriptional effects allows for a more realistic, accurate, and meaningful representation of the transcriptional activity of a genome.
遗传和环境扰动常常导致涉及多个基因和调控子的复杂转录反应。为了理解反应的本质,必须考虑下游效应在反应形成中的作用。这种分析可以在一个统计框架内进行,其中各个效应被独立收集,然后在线性模型中进行整合。在这里,我们模拟了DNA复制、超螺旋和修复对大肠杆菌gyrase抑制的转录反应的贡献。通过将gyrase抑制表示为一种真正的多效性现象,我们能够证明:(1)DNA复制是空间转录结构域形成所必需的;(2)对gyrase抑制的转录反应在参与DNA维持、松弛和损伤反应的至少两个模块之间是协调的;(3)其对gyrase抑制的转录反应不依赖于细胞主要松弛活性的基因可以根据其上游和编码序列中的GC过量进行分类;(4)拓扑异构酶I的松弛作用主导转录反应,其次是复制和RecA的作用。我们在功能上测试了松弛和修复活性之间相互作用的影响,并发现了对从微阵列数据得出的模型的支持。我们得出结论,将复合转录谱建模为下游转录效应的组合,可以更真实、准确和有意义地表示基因组的转录活性。