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p53系统中的振荡与变异性。

Oscillations and variability in the p53 system.

作者信息

Geva-Zatorsky Naama, Rosenfeld Nitzan, Itzkovitz Shalev, Milo Ron, Sigal Alex, Dekel Erez, Yarnitzky Talia, Liron Yuvalal, Polak Paz, Lahav Galit, Alon Uri

机构信息

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Mol Syst Biol. 2006;2:2006.0033. doi: 10.1038/msb4100068. Epub 2006 Jun 13.

Abstract

Understanding the dynamics and variability of protein circuitry requires accurate measurements in living cells as well as theoretical models. To address this, we employed one of the best-studied protein circuits in human cells, the negative feedback loop between the tumor suppressor p53 and the oncogene Mdm2. We measured the dynamics of fluorescently tagged p53 and Mdm2 over several days in individual living cells. We found that isogenic cells in the same environment behaved in highly variable ways following DNA-damaging gamma irradiation: some cells showed undamped oscillations for at least 3 days (more than 10 peaks). The amplitude of the oscillations was much more variable than the period. Sister cells continued to oscillate in a correlated way after cell division, but lost correlation after about 11 h on average. Other cells showed low-frequency fluctuations that did not resemble oscillations. We also analyzed different families of mathematical models of the system, including a novel checkpoint mechanism. The models point to the possible source of the variability in the oscillations: low-frequency noise in protein production rates, rather than noise in other parameters such as degradation rates. This study provides a view of the extensive variability of the behavior of a protein circuit in living human cells, both from cell to cell and in the same cell over time.

摘要

要了解蛋白质回路的动态变化和变异性,需要在活细胞中进行精确测量以及构建理论模型。为了实现这一点,我们采用了人类细胞中研究得最为透彻的蛋白质回路之一,即肿瘤抑制因子p53与癌基因Mdm2之间的负反馈回路。我们在单个活细胞中对荧光标记的p53和Mdm2的动态变化进行了数天的测量。我们发现,在相同环境中的同基因细胞在受到DNA损伤的γ射线照射后,表现出高度可变的行为:一些细胞显示出至少3天的无阻尼振荡(超过10个峰值)。振荡的幅度比周期的变化大得多。姐妹细胞在细胞分裂后继续以相关的方式振荡,但平均约11小时后失去相关性。其他细胞则表现出不类似振荡的低频波动。我们还分析了该系统的不同数学模型家族,包括一种新的检查点机制。这些模型指出了振荡变异性的可能来源:蛋白质产生速率中的低频噪声,而非其他参数(如降解速率)中的噪声。这项研究揭示了活的人类细胞中蛋白质回路行为在细胞间以及同一细胞随时间变化的广泛变异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e428/1681500/37bdf896bb8f/msb4100068-f1.jpg

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