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Human adenovirus E1A proteins and oncogene products of several other DNA tumour viruses derive much of their oncogenic potential from interactions with cellular polypeptides. E1A proteins form complexes with p105Rb and a related p107 polypeptide, and with at least three other proteins (p60cycA, p130, and p300); all may be required for cell transformation. Using a series of E1A deletion mutants, we have carried out a quantitative analysis of the binding patterns of cellular proteins to E1A products. Binding of most of the proteins was affected at least partially by mutations within the amino terminal 25 residues, amino acids 36-69 within conserved region 1 (CR1), and residues 121-138 in conserved region 2 (CR2). However, the specific binding characteristics of each protein varied considerably. p300 was the only species for which binding was totally eliminated by deletions at the amino terminus. Removal of regions within CR1 eliminated binding of all species except p107 and p60cycA. Deletion of portions of CR2 reduced or eliminated binding of all proteins except p300. Thus, whereas cellular polypeptides generally were found to interact with the same three regions of E1A proteins, specific interactions varied considerably.  相似文献   

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Expanding on the possible protein interaction partners in a biochemical pathway is one key molecular goal in the post-genomic era. Phage peptide display is a versatile in vitro tool for mapping novel protein-protein interfaces and the advantage of this technique in expanding protein interaction maps is that in vitro manipulation of the bait protein conformational integrity can be controlled carefully. Phage peptide display was used to expand on the possible types of binding proteins for the conformationally responsive protein MDM2. Peptides enriched differ depending upon whether MDM2 is ligand-free, zinc-bound, or RNA-bound, suggesting that MDM2 conformational changes alter the type of peptide ligands enriched. Classes of putative/established MDM2-binding proteins identified by this technique included ubiquitin-modifying enzymes (F-box proteins, UB-ligases, UBC-E1) and apoptotic modifiers (HSP90, GAS1, APAF1, p53). Of the many putative MDM2 proteins that could be examined, the impact of HSP90 on MDM2 activity was studied, since HSP90 has been linked with p53 protein unfolding in human cancers. Zinc ions were required to reconstitute a stable MDM2-HSP90 protein complex. Zinc binding converted MDM2 from a monomer to an oligomer, and activated MDM2 binding to its internal RING finger domain, providing evidence for a conformational change in MDM2 protein when it binds zinc. Reconstitution of an HSP90-MDM2 protein complex in vitro stimulated the unfolding of the p53 tetramer. A p53 DNA-binding inhibitor purified from human cells that is capable of unfolding p53 at ambient temperature in vitro contains co-purifying pools of HSP90 and MDM2. These data highlight the utility of phage peptide display as a powerful in vitro method to identify regulatory proteins that bind to a conformationally flexible protein like MDM2.  相似文献   

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Although the N-terminal BOX-I domain of the tumor suppressor protein p53 contains the primary docking site for MDM2, previous studies demonstrated that RNA stabilizes the MDM2.p53 complex using a p53 mutant lacking the BOX-I motif. In vitro assays measuring the specific activity of MDM2 in the ligand-free and RNA-bound state identified a novel MDM2 interaction site in the core domain of p53. As defined using phage-peptide display, the RNA.MDM2 isoform exhibited a notable switch in peptide binding specificity, with enhanced affinity for novel peptide sequences in either p53 or small nuclear ribonucleoprotein-U (snRNP-U) and substantially reduced affinity for the primary p53 binding site in the BOX-I domain. The consensus binding site for the RNA.MDM2 complex within p53 is SGXLLGESXF, which links the S9-S10 beta-sheets flanking the BOX-IV and BOX-V motifs in the core domain and which is a site of reversible conformational flexibility in p53. Mutation of conserved amino acids in the linker at Ser(261) and Leu(264), which bridges the S9-S10 beta-sheets, stimulated p53 activity from reporter templates and increased MDM2-dependent ubiquitination of p53. Furthermore, mutation of the conserved Phe(270) within the S10 beta-sheet resulted in a mutant p53, which binds more stably to RNA.MDM2 complexes in vitro and which is strikingly hyper-ubiquitinated in vivo. Introducing an Ala(19) mutation into the p53(F270A) protein abolished both RNA.MDM2 complex binding and hyper-ubiquitination in vivo, thus indicating that p53(F270A) protein hyper-ubiquitination depends upon MDM2 binding to its primary site in the BOX-I domain. Together, these data identify a novel MDM2 binding interface within the S9-S10 beta-sheet region of p53 that plays a regulatory role in modulating the rate of MDM2-dependent ubiquitination of p53 in cells.  相似文献   

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The oncogenic proteins MDM2 and MDMX have distinct and critical roles in the control of the activity of the p53 tumor suppressor protein. Recently, we have used spatial coarse graining simulations to analyze the conformational transitions manifest in the p53 recognition of MDM2 and MDMX. These conformational movements are different between MDM2 and MDMX and unveil the presence of conserved and nonconserved interactions in the p53 binding cleft that may be exploited in the design of selective and dual modulators of the oncogenic proteins. In this study, we investigate the conformational profiles of apo‐ and p53‐bound states of MDM2 and MDMX using molecular dynamic simulations along a time scale of 60 ns. The analysis of the trajectories is instrumental to discuss energetical and conformational aspects of p53 recognition and to point out specific key residues whose conformational shifts have crucial roles in affecting the apo‐ and p53‐bound states of MDM2 and MDMX. Among these, in particular, linear discriminant analyses identify diverse conformations of Y99/Y100 (MDMX/MDM2) as markers of the apo‐ and p53‐bound states of the oncogenic proteins. The results of this study shed further light on different p53 recognition in MDM2 and MDMX and may prove useful for the design and identification of new potent and selective synthetic modulators of p53‐MDM2/MDMX interactions. Proteins 2009. © 2009 Wiley‐Liss, Inc.  相似文献   

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CARP1 and CARP2 proteins (CARPs) are E3 ligases that target p53 as well as phospho-p53 for degradation. Because MDM2 is a critical regulator of p53 turnover, we investigated and found that CARPs associate with MDM2. We provide evidence that CARPs stabilize MDM2 by inhibiting MDM2 self-ubiquitination. CARPs together with MDM2 enhance p53 degradation, thereby inhibiting p53-mediated cell death. CARP protein levels correlate with MDM2 levels including under hypoxia where both are reduced. CARP2 was found to target 14-3-3σ for degradation, leading to MDM2 stabilization. MDMX, a homolog of MDM2, is not absolutely required for MDM2 stabilization by CARPs, although overexpression of CARP2 enhances MDM2/MDMX interaction. Taken together, our study identifies novel mechanisms by which CARP proteins regulate the p53 signaling pathway.  相似文献   

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We have modeled an MTBP-MDM2–p53 regulatory network by integrating p53–MDM2 autoregulatory model (Proctor and Gray, 2008) with the effect of a cellular protein MTBP (MDM2 binding protein) which is allowed to bind with MDM2 (Brady et al., 2005). We study this model to investigate the activation of p53 and MDM2 steady state levels induced by MTBP protein under different stress conditions. Our simulation results in three approaches namely deterministic, Chemical Langevin equation and stochastic simulation of Master equation show a clear transition from damped limit cycle oscillation to fixed point oscillation during a certain time period with constant stress condition in the cell. This transition is the signature of transition of p53 and MDM2 levels from activated state to stabilized steady state levels. We present various phase diagrams to show the transition between unstable and stable states of p53 and MDM2 concentration levels and also their possible relations among critical value of the parameters at which the respective protein level reach stable steady states. In the stochastic approach, the dynamics of the proteins become noise induced process depending on the system size. We found that this noise enhances the stability of the p53 steady state level.  相似文献   

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