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p53 动力学通过与靶基因的结合亲和力来协调细胞命运决定。

p53 dynamics orchestrates with binding affinity to target genes for cell fate decision.

机构信息

Key Laboratory of Drug Metabolism and Pharmacokinetics, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Tongjiaxiang #24, Nanjing, Jiangsu 210009, China.

Department of Nephrology, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu 210008, China.

出版信息

Cell Death Dis. 2017 Oct 19;8(10):e3130. doi: 10.1038/cddis.2017.492.

Abstract

Emerging evidence support that temporal dynamics is pivotal for signaling molecules in orchestrating smart responses to diverse stimuli. p53 is such a signaling molecule that employs temporal dynamics for the selective activation of downstream target genes and ultimately for cell fate decision. Yet how this fine-tuned p53 machinery is quantitatively decoded remains largely unclear. Here we report a quantitative mechanism defining how p53 dynamics orchestrates with binding affinity to target genes for cell fate decision. Treating cells with a genotoxic drug doxorubicin at various doses and durations, we found that a mild and prolonged challenge triggered sequential p53 pulses and ultimately resulted in a terminal pulse enacting apoptosis in a comparable rate with that induced by an acute and high-dose treatment. To transactivate proapoptotic genes and thereafter executing apoptosis, p53 must exceed a certain threshold and accumulate for sufficient time at levels above it. Effective cumulative levels above the threshold, defined as E∫p53, but not the total accumulation levels of p53, precisely discriminate survival and apoptotic cells. p53 accumulation below this threshold, even with prolonging time to reach a total level comparable to that from the accumulation over the threshold, could not transactivate proapoptotic genes to which the binding affinity of p53 is lower than that of proarrest genes, and this property is independent of dynamic features. Our findings indicate that the dynamic feature per se does not directly control cell fate, but rather it orchestrates with the binding affinity to target genes to confer an appropriate time window for cell fate choice. Our study provides a quantitative mechanism unifying p53 dynamics and binding affinity to target genes, providing novel insights to understand how p53 can respond quantitatively to chemotherapeutic drugs, and guiding the design of metronomic regimens for chemotherapeutic drugs.

摘要

新兴证据表明,时间动态对于协调信号分子对各种刺激做出智能反应至关重要。p53 就是这样一种信号分子,它利用时间动态选择性地激活下游靶基因,并最终决定细胞命运。然而,这种精细调节的 p53 机制如何被定量解码在很大程度上仍不清楚。在这里,我们报告了一种定量机制,该机制定义了 p53 动力学如何与靶基因的结合亲和力协同作用,以决定细胞命运。用不同剂量和时间的致瘤药物阿霉素处理细胞,我们发现轻度和长期的挑战会触发连续的 p53 脉冲,最终导致一个终末脉冲,以与急性和高剂量处理诱导的凋亡率相当的速度引发凋亡。为了激活促凋亡基因并随后执行凋亡,p53 必须超过一定的阈值,并在高于该阈值的水平上积累足够的时间。有效累积水平超过阈值,定义为 E∫p53,但不是 p53 的总积累水平,可准确区分存活和凋亡细胞。p53 积累低于这个阈值,即使延长时间达到与积累超过阈值的水平相当的总水平,也不能激活促凋亡基因,因为 p53 的结合亲和力低于促停基因,而这种特性独立于动态特征。我们的研究结果表明,动态特征本身并不直接控制细胞命运,而是与靶基因的结合亲和力协同作用,为细胞命运选择提供适当的时间窗口。我们的研究提供了一种定量机制,将 p53 动力学与靶基因的结合亲和力统一起来,为理解 p53 如何对化疗药物做出定量反应提供了新的见解,并为化疗药物的节拍治疗方案设计提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7332/5682658/0a7d06859851/cddis2017492f1.jpg

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