P53脉冲的研究现状与展望

P53脉冲是指细胞内p53蛋白水平周期性或重复性的涨落.该脉冲产生的途径是调节p53的各种正负反馈环,其核心的两个负反馈环是p53-Mdm2环和Wip1-ATM-p53环.这些负反馈环能产生极限环振荡,在极限环振荡区,P53水平成脉冲型变化.随着P53脉冲的增多,不同形式的p53蛋白和促凋亡蛋白逐渐积累并到达一定阈值水平,可打开凋亡"开关",引发不可逆的细胞命运.除了P53脉冲的数目,其频率、振幅、波形等物理学参数也与细胞命运存在密切关系.这一研究进展对阐明诸多疾病发生机理和防治研究有重要意义.     

p53-Mdm2 loop controlled by a balance of its feedback strength and effective dampening using ATM and delayed feedback

When the genomic integrity of a cell is challenged, its fate is determined in part by signals conveyed by the p53 tumour suppressor protein. It was observed recently that such signals are not simple gradations of p53 concentration, but rather a counter-intuitive limit-cycle behaviour. Based on a careful mathematical interpretation of the experimental body of knowledge, we propose a model for the p53 signalling network and characterise the p53 stability and oscillatory dynamics. In our model, ATM, a protein that senses DNA damage, activates p53 by phosphorylation. In its active state, p53 has a decreased degradation rate and an enhanced transactivation of Mdm2, a gene whose protein product Mdm2 tags p53 for degradation. Thus the p53-Mdm2 system forms a negative feedback loop. However, the feedback in this loop is delayed, as the pool of Mdm2 molecules being induced by p53 at a given time will mark for degradation the pool of p53 molecules at some later time, after the Mdm2 molecules have been transcribed, exported out of the nucleus, translated and transported back into the nucleus. The analysis of our model demonstrates how this time lag combines with the ATM-controlled feedback strength and effective dampening of the negative feedback loop to produce limit-cycle oscillations. The picture that emerges is that ATM, once activated by DNA damage, makes the p53-Mdm2 oscillator undergo a supercritical Hopf bifurcation. This approach yields an improved understanding of the global dynamics and bifurcation structure of our time-delayed, negative feedback model and allows for predictions of the behaviour of the p53 system under different perturbations.     

Frequency domain analysis reveals external periodic fluctuations can generate sustained p53 oscillation

p53 is a well-known tumor suppressor protein that regulates many pathways, such as ones involved in cell cycle and apoptosis. The p53 levels are known to oscillate without damping after DNA damage, which has been a focus of many recent studies. A negative feedback loop involving p53 and MDM2 has been reported to be responsible for this oscillatory behavior, but questions remain as how the dynamics of this loop alter in order to initiate and maintain the sustained or undamped p53 oscillation. Our frequency domain analysis suggests that the sustained p53 oscillation is not completely dictated by the negative feedback loop; instead, it is likely to be also modulated by periodic DNA repair-related fluctuations that are triggered by DNA damage. According to our analysis, the p53-MDM2 feedback mechanism exhibits adaptability in different cellular contexts. It normally filters noise and fluctuations exerted on p53, but upon DNA damage, it stops performing the filtering function so that DNA repair-related oscillatory signals can modulate the p53 oscillation. Furthermore, it is shown that the p53-MDM2 feedback loop increases its damping ratio allowing p53 to oscillate at a frequency more synchronized with the other cellular efforts to repair the damaged DNA, while suppressing its inherent oscillation-generating capability. Our analysis suggests that the overexpression of MDM2, observed in many types of cancer, can disrupt the operation of this adaptive mechanism by making it less responsive to the modulating signals after DNA damage occurs.     

Recurrent initiation: a mechanism for triggering p53 pulses in response to DNA damage

DNA damage initiates a series of p53 pulses. Although much is known about the interactions surrounding p53, little is known about which interactions contribute to p53's dynamical behavior. The simplest explanation is that these pulses are oscillations intrinsic to the p53/Mdm2 negative feedback loop. Here we present evidence that this simple mechanism is insufficient to explain p53 pulses; we show that p53 pulses are externally driven by pulses in the upstream signaling kinases, ATM and Chk2, and that the negative feedback between p53 and ATM, via Wip1, is essential for maintaining the uniform shape of p53 pulses. We propose that p53 pulses result from repeated initiation by ATM, which is reactivated by persistent DNA damage. Our study emphasizes the importance of collecting quantitative dynamic information at high temporal resolution for understanding the regulation of signaling pathways and opens new ways to manipulate p53 pulses to ask questions about their function in response to DNA damage.     

Mdm2 regulates p53 mRNA translation through inhibitory interactions with ribosomal protein L26

Mdm2 regulates the p53 tumor suppressor by promoting its proteasome-mediated degradation. Mdm2 and p53 engage in an autoregulatory feedback loop that maintains low p53 activity in nonstressed cells. We now report that Mdm2 regulates p53 levels also by targeting ribosomal protein L26. L26 binds p53 mRNA and augments its translation. Mdm2 binds L26 and drives its polyubiquitylation and proteasomal degradation. In addition, the binding of Mdm2 to L26 attenuates the association of L26 with p53 mRNA and represses L26-mediated augmentation of p53 protein synthesis. Under nonstressed conditions, both mechanisms help maintain low cellular p53 levels by constitutively tuning down p53 translation. In response to genotoxic stress, the inhibitory effect of Mdm2 on L26 is attenuated, enabling a rapid increase in p53 synthesis. The Mdm2-L26 interaction thus represents an additional important component of the autoregulatory feedback loop that dictates cellular p53 levels and activity.     

Ribosomal protein L23 activates p53 by inhibiting MDM2 function in response to ribosomal perturbation but not to translation inhibition

The p53-MDM2 feedback loop is vital for cell growth control and is subjected to multiple regulations in response to various stress signals. Here we report another regulator of this loop. Using an immunoaffinity method, we purified an MDM2-associated protein complex that contains the ribosomal protein L23. L23 interacted with MDM2, forming a complex independent of the 80S ribosome and polysome. The interaction of L23 with MDM2 was enhanced by treatment with actinomycin D but not by gamma-irradiation, leading to p53 activation. This activation was inhibited by small interfering RNA against L23. Ectopic expression of L23 reduced MDM2-mediated p53 ubiquitination and also induced p53 activity and G(1) arrest in p53-proficient U2OS cells but not in p53-deficient Saos-2 cells. These results reveal that L23 is another regulator of the p53-MDM2 feedback regulation.     

A dynamic role of HAUSP in the p53-Mdm2 pathway

Our previous study showed that ubiquitination of p53 is reversible and that the ubiquitin hydrolase HAUSP can stabilize p53 by deubiquitination. Here, we found that partial reduction of endogenous HAUSP levels by RNAi indeed destabilizes endogenous p53; surprisingly, however, nearly complete ablation of HAUSP stabilizes and activates p53. We further show that this phenomenon occurs because HAUSP stabilizes Mdm2 in a p53-independent manner, providing an interesting feedback loop in p53 regulation. Notably, HAUSP is required for Mdm2 stability in normal cells; in HAUSP-ablated cells, self-ubiquitinated-Mdm2 becomes extremely unstable, leading to indirect p53 activation. Furthermore, this feedback regulation is specific to Mdm2; in HeLa cells, where p53 is preferentially degraded by viral E6-dependent ubiquitination, depletion of HAUSP fails to activate p53. This study provides an example of an ubiquitin ligase (Mdm2) that is directly regulated by a deubiquitinase (HAUSP) and also reveals a dynamic role of HAUSP in the p53-Mdm2 pathway.     

PUMA inactivation protects against oxidative stress through p21/Bcl-XL inhibition of bax death

The tumor suppressor protein p53 activates growth arrest and proapoptotic genes in response to DNA damage. It is known that negative feedback by p21(Cip1/Waf1/Sdi1) represses p53-dependent transactivation of PUMA. The current study investigates PUMA feedback on p53 during oxidative stress from hyperoxia and the subsequent effects on cell survival mediated through p21 and Bcl-X(L). Deletion of PUMA in HCT116 colon carcinoma cells increased levels of p53 and p21, resulting in a larger G(1) population during hyperoxia. P21-dependent increase in Bcl-X(L) levels protected PUMA-deficient cells against hyperoxic cell death. Bax and Bak were both able to promote hyperoxic cell death. Bcl-X(L) protection against hyperoxic death was lost in cells lacking Bax, not PUMA, suggesting that Bcl-X(L) acts to inhibit Bax-dependent death. These results indicate that PUMA exerts a negative feedback on p53 and p21, leading to p21-dependent growth suppressive and survival changes. Enhanced survival was associated with increased Bcl-X(L) to block Bax activated cell death during oxidative stress.     

A p53/CPEB2 negative feedback loop regulates renal cancer cell proliferation and migration

The tumor suppressor p53 transactivates the expression of multiple genes to exert its multifaceted functions and ultimately maintains genome stability. Thus, cancer cells develop various mechanisms to diminish p53 expression and bypass the cell cycle checkpoint. In this study, we identified the gene encoding RNAbinding protein cytoplasmic polyadenylation element-binding protein 2(CPEB2) as a p53 target. In turn,CPEB2 decreases p53 messenger RNA stability and translation to fine-tune p53 level. Specifically, we showed that CPEB2 binds the cytoplasmic polyadenylation elements in the p53 30-untranslated region, and the RNA recognition motif and zinc finger(ZF) domains of CPEB2 are required for this binding. Furthermore,we found that CPEB2 was upregulated in renal cancer tissues and promotes the renal cancer cell proliferation and migration. The oncogenic effect of CPEB2 is partially dependent on negative feedback regulation of p53. Overall, we identify a novel regulatory feedback loop between p53 and CPEB2 and demonstrate that CPEB2 promotes tumor progression by inactivating p53, suggesting that CPEB2 is a potential therapeutic target in human renal cancer.     

Oscillations of the p53-Akt Network: Implications on Cell Survival and Death

Intracellular protein levels of p53 and MDM2 have been shown to oscillate in response to ionizing radiation (IR), but the physiological significance of these oscillations remains unclear. The p53-MDM2 negative feedback loop – the putative cause of the oscillations – is embedded in a network involving a mutual antagonism (or positive feedback loop) between p53 and AKT. We have shown earlier that this p53-AKT network predicts an all-or-none switching behavior between a pro-survival cellular state (low p53 and high AKT levels) and a pro-apoptotic state (high p53 and low AKT levels). Here, we show that upon exposure to IR, the p53-AKT network can also reproduce the experimentally observed p53 and MDM2 oscillations. The present work is based on the hypothesis that the physiological significance of the experimentally observed oscillations could be found in their role in regulating the switching behavior of the p53-AKT network between pro-survival and pro-apoptotic states. It is shown here that these oscillations are associated with a significant decrease in the threshold level of IR at which switching from a pro-survival to a pro-apoptotic state occurs. Moreover, oscillations in p53 protein levels induce higher levels of expression of p53-target genes compared to non-oscillatory p53, and thus influence cell-fate decisions between cell cycle arrest/DNA damage repair versus apoptosis.     

Delay Hill dynamics in regulatory biological systems

We explore one of the best-studied protein circuits in human cells, the negative feedback loop between the tumor suppressor p53 and the oncogene Mdm2 following nuclear irradiation. Using stochastic delay differential equations and the Gillespie algorithm, we illustrate the distinct oscillatory dynamics at the single-cell and population-cell levels which were found in the recent experiments. The oscillatory dynamics of p53-Mdm2 interaction appears as coherent resonance with delay and noise in individual cells. Dephasing mechanisms provide the origin of damped oscillation at the population level out of the sustained one at the single-cell level. The non-Gaussian nature of distributions of protein populations results from the interplay between time delay and nonlinearity of reaction processes. Our findings may lead to new insights related to the effects of noise and cancer therapy.