NsrR regulation of the small noncoding RNA RybB in Escherichia coli

描述（由申请人提供）：系统生物学知识对于我们理解医学和合成生物学应用的细胞和分子基础至关重要。它还为各种生物系统的代谢组学研究提供了一个框架。系统生物学知识将通过确认细胞生理学的计算模型或发现以前未描述的新途径的调查来推进。使用大肠coli K12作为细胞生理学研究的模型系统是最佳的，因为它的生物学简单性和遗传易处理性。细菌细胞生理学研究中缺少的一个关键因素是定义两种不同应激反应之间串扰的精确机制。应激反应是对环境变化的快速生理适应。细菌小调控RNA是一类具有转录后调控功能的非编码RNA分子.小RNA经常充当遗传开关，通过以主要方式影响特定的代谢途径，经由转录后调节参与途径的中央调节因子或酶。出于这个原因，小RNA的研究特别适合于旨在定义生理回路和串扰的研究。小调节RNA RybB在大肠杆菌中受细胞质外功能（ECF）σ因子RpoE调节。杆菌RpoE是E.大肠杆菌中，类似于真核内质网中的未折叠蛋白质反应。NsrR通过诱导NO解毒酶HmpA的表达来响应一氧化氮（NO）暴露。因此，NsrR是E.杆菌我们有初步的证据表明，一氧化氮传感转录调节，NsrR，具有调节作用的RybB的表达以及。这一观察结果表明，在E.并且，可以通过表征NsrR在RybB上发挥的作用来研究。我们的主要假设是NsrR是RybB表达的直接调节因子。我们有两个模型，我们提出作为我们的假设，NsrR直接调节RybB的机制。我们的第一个模型是NsrR通过与DNA，特别是rybB基因的启动子相互作用对RybB发挥其调节作用。我们的第二个模型是NsrR通过与RpoE蛋白的直接相互作用对RybB发挥其调节作用，作为抗σ因子并阻止其调节转录靶点（包括rybB）。为了检验我们的假设，我们将首先确定NsrR作用于RybB表达的调节水平（具体目标#1）。然后，我们将鉴定NsrR对RybB表达的影响所必需的生物化学相互作用（具体目标#2）。最后，我们将确定外源性NO暴露对RybB表达的作用（特异性目标#3）。总之，这些实验将表征NsrR对RybB的调节作用，并有助于了解细菌细胞中的生理串扰。这些研究产生的模型将有助于改进系统生物学应用的生理模型。

DESCRIPTION (provided by applicant): Systems biology knowledge is crucial for our understanding of the cellular and molecular basis of medicine and synthetic biology applications. It also provides a framework for metabolomic studies of various biological systems. Systems biology knowledge will advance through investigations that confirm computational models of cellular physiology or discover new pathways not previously described. Using E. coli K12 as a model system for cellular physiology studies is optimal due to its biological simplicity and genetic tractability. One crucial element missing from bacterial cell physiology studies is precise mechanisms defining cross-talk between two different stress responses. Stress responses are rapid physiological adaptations to environmental changes. Bacterial small regulatory RNAs are noncoding RNA molecules with a post- transcriptional regulatory function. Small RNAs frequently act as genetic switches, by affecting specific metabolic pathways in major ways, via post-transcriptional regulation of a central regulator or enzyme involved in a pathway. For this reason, the study of small RNAs is uniquely suited for studies aimed at defining physiological circuits and cross-talk. The small regulatory RNA RybB is regulated by the Extracytoplasmic function (ECF) sigma factor, RpoE, in E. coli. RpoE is a central regulator of the envelope stress response in E. coli and is analogous to the unfolded protein response in eukaryotic endoplasmic reticulum. NsrR responds to nitric oxide (NO) exposure by inducing the expression of HmpA, a NO-detoxification enzyme. Hence, NsrR is a central mediator of the nitrosative stress response in E. coli. We have preliminary evidence to suggest that a nitric oxide sensing transcriptional regulator, NsrR, has a regulatory effect on RybB expression as well. The implications for this observation is that there may be physiological cross-talk between the nitrosative stress and envelope stress responses in E. coli; and, it can be studied by characterizing the role NsrR plays on RybB. Our main hypothesis is that NsrR is a direct regulator of RybB expression. We have two models we propose as a mechanism for our hypothesis that NsrR directly regulates RybB. Our first model is that NsrR exerts its regulatory effect on RybB via an interaction with DNA, specifically the promoter of the rybB gene. Our second model is that NsrR exerts its regulatory effect on RybB via a direct interaction with the RpoE protein, acting as an anti-sigma factor and preventing it from regulating is transcriptional targets (including rybB). To test our hypothesis, we will first determine the regulatory level at which NsrR acts on RybB expression (Specific Aim #1). Then, we will identify biochemical interactions necessary for the NsrR effect on RybB expression (Specific Aim #2). Finally, we will determine the role that exogenous NO exposure plays on the expression of RybB (Specific Aim #3). Taken together, these experiments will characterize NsrR's regulatory effect on RybB and contribute to knowledge of physiological cross-talk in bacterial cells. The models resulting from these studies will contribute to refined physiological models for systems biology applications.