Systems-level analysis of the regulation and function of p53 dynamics

p53 动力学调控和功能的系统级分析

• 批准号: 9343897
• 负责人: Eric Batchelor
• 金额: $ 56.37万
• 依托单位: DIVISION OF BASIC SCIENCES - NCI
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9343897
• 关键词: Affect; Apoptosis; Behavior; Biological; Cancerous; Cell Aging; Cell Cycle Arrest; Cell Death; Cells; Cellular Stress; Cellular biology; Characteristics; Complex; Computer Simulation; DNA Damage; DNA Double Strand Break; DNA Repair; Data; Dose; Face; Fluorescence Microscopy; Frequencies; Gene Expression; Gene Expression Profile; Gene Targeting; Genes; Goals; Life; Malignant Neoplasms; Measurement; Measures; Medicine; Methods; Mutate; Outcome; Output; Pathway interactions; Physiologic pulse; Property; Publishing; Regulation; Reporter; Research; Series; Shapes; System; TP53 gene; Techniques; Time; Translating; Validation; Work; base; chemical genetics; combat; extracellular; mRNA Stability; novel; novel strategies; overexpression; response; synthetic biology; transcription factor; ultraviolet damage

PURPOSE: In this project, we will use a combination of computational and experimental techniques to characterize p53 dynamics in healthy and cancerous cells in response to important cellular stresses. To measure the dynamics of circuit components, we will use long-term time-lapse fluorescence microscopy of living cells. We will use chemical and genetic perturbations to alter p53 dynamics and determine the effect on p53 target gene expression and cell fate. Using computational modeling, we will integrate these data with measurements of cellular outcomes to predict pathway behavior in response to specific perturbations. By allowing us to study emergent properties that are not evident at the level of smaller-scale interactions, this type of approach will provide novel strategies for manipulating circuit functions, as well as new ways to combat cancers in which p53 dynamics are dysregulated. MATERIALS AND METHODS: 1. Using synthetic biology approaches to control p53 dynamics: We will use synthetic biology approaches to perturb various characteristics of p53 dynamics (for example, p53 pulse amplitude, duration, and frequency), and determine the effect that such perturbations have on p53's downstream functions. 2. Identifying target gene expression patterns based on p53 dynamics: We will probe the function of p53 dynamics in the regulation of the over 100 p53 target genes at the single cell level. Validation by more detailed studies of important target genes will be performed using single-cell level analysis with fluorescent transcriptional reporters. PROGRESS IN FY2016: We have developed a novel synthetic method to control p53 localization, and as a consequence specific features of p53 dynamics. Using this system, we have observed differential regulation of specific p53 target genes. We are continuing our study in this direction, expanding our analysis to include the measurement of several other important targets of p53 regulation. We have also quantified the expression of large sets of p53 regulated genes in single cells, uncovering novel modes of regulation related to mRNA stability and co-regulatory subnetworks. Results from these studies have been published in "Cell Systems" this past year.

目得：在这个项目中，我们将使用计算和实验技术的组合来表征健康和癌细胞中的p53动态响应重要的细胞应激。为了测量电路组件的动态，我们将使用活细胞的长期延时荧光显微镜。我们将使用化学和遗传扰动来改变p53动力学，并确定对p53靶基因表达和细胞命运的影响。使用计算建模，我们将这些数据与细胞结果的测量相结合，以预测响应特定扰动的通路行为。通过允许我们研究在小规模相互作用水平上不明显的涌现特性，这种方法将提供操纵电路功能的新策略，以及对抗p53动力学失调的癌症的新方法。材料与方法：1.使用合成生物学方法控制p53动力学：我们将使用合成生物学方法干扰p53动力学的各种特征（例如，p53脉冲幅度，持续时间和频率），并确定这种干扰对p53下游功能的影响。2.基于p53动力学识别靶基因表达模式：我们将在单细胞水平上探索p53动力学在100多个p53靶基因调控中的功能。将使用荧光转录报告基因进行单细胞水平分析，通过对重要靶基因进行更详细的研究进行验证。2016财年的进展：我们开发了一种新的合成方法来控制p53定位，从而控制p53动力学的特定特征。使用这个系统，我们已经观察到特定的p53靶基因的差异调节。我们正在继续我们的研究在这个方向上，扩大我们的分析，包括测量其他几个重要的目标p53调控。我们还量化了单细胞中大量p53调控基因的表达，揭示了与mRNA稳定性和共调控子网络相关的新的调控模式。这些研究的结果已发表在去年的《细胞系统》上。