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Interplay of digital and analog control in time-resolved gene expression profiles

机译:数字和模拟控制在时间分辨基因表达谱中的相互作用

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Background Measuring the agreement between a gene expression profile and a known transcriptional regulatory network is an important step in the functional interpretation of bacterial physiological state. In this way, general design principles can be explored. One such interpretive framework is the relationship of digital control, that is, the impact of sequence-specific interactions, and analog control, i.e., the extent of the influence of chromosomal structure. Methods and Results Here, we present time-resolved gene expression profiles of Escherichia coli ’s growth cycle as measured by RNA-seq. We extend methods which have been developed for discrete sets of differentially expressed genes and apply them to the wild type and two mutant time-series for which the global transcriptional regulators fis and hns were inactivated. We test our continuous methods using simulated ‘expression profiles’ generated from random Boolean network dynamics where we observe a clear trade-off between maximum response and level of detail included. In the real time-course expression data, we find strong interdependent changes of digital and analog control during the exponential growth phase and a dominance of analog control during the stationary phase. Conclusions Our investigation puts forward a simple and reliable method for quantifying the match between time-resolved gene expression profiles and a transcriptional regulatory network. The method reveals a systematic compensatory interplay of digital and analog control in the genetic regulation of E. coli ’s growth cycle.
机译:背景技术测量基因表达谱和已知的转录调节网络之间的一致性是细菌生理状态的功能解释中的重要步骤。这样,可以探索一般的设计原理。一种这样的解释框架是数字控制的关系,即序列特异性相互作用的影响,和模拟控制的关系,即染色体结构影响的程度。方法和结果在这里,我们介绍了通过RNA序列测定的大肠杆菌生长周期的时间分辨基因表达谱。我们扩展已开发的方法的离散集的差异表达基因,并将其应用于野生型和两个突变的时间序列,其全局转录调节因子fis和hns被灭活。我们使用从随机布尔网络动力学生成的模拟“表达式配置文件”测试我们的连续方法,在该模型中,我们观察到了最大响应和所含细节水平之间的明显权衡。在实时过程表达数据中,我们发现在指数增长阶段,数字控制和模拟控制之间存在强烈的相互依存变化,而在平稳阶段,模拟控制占主导地位。结论我们的研究提出了一种简单而可靠的方法来量化时间分辨的基因表达谱与转录调控网络之间的匹配。该方法揭示了数字和模拟控制在大肠杆菌生长周期遗传调控中的系统性补偿相互作用。

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