p53 Laboratory, A*STAR (Agency for Science, Technology and Research), 8A Biomedical Grove, #06-04/05, Neuros/Immunos, Singapore, 138648, Singapore.
R&D Division, Medical & Biological Laboratories, Co., Ltd., 1063-103 Terasawaoka, Ina, Nagano, 396-0002, Japan.
Sci Rep. 2019 Nov 29;9(1):17933. doi: 10.1038/s41598-019-54123-z.
In this report we describe the development of a Fluorescent Protein-Protein Interaction-visualization (FLUOPPI) to enable the simultaneous measurement of both Mdm2:p53 and Mdm4:p53 interactions in order to assess the relative efficiencies of mimetic molecules of the p53 peptide helix against both PPIs. Mdm2 and Mdm4 overexpression frequently leads to the inactivation of non-mutated p53 in human cancers, via inhibition of its transcriptional activity, enhancing its degradation by the proteasome or by preventing its nuclear import. Development of inhibitors to disrupt the binding of one or both of these protein interactions have been the subject of intensive pharmaceutical development for anti-cancer therapies. Using the bimodal FLUOPPI system we have characterised compounds that were either monospecific for Mdm2 or bispecific for both Mdm2 and Mdm4. We have also demonstrated that the FLUOPPI assay can reliably differentiate between specific and non-specific disruption of these protein complexes via accurate assessment and normalization to the cell population under measurement. We envision that this methodology will increase the efficiency of identifying compounds that are either specific against a single PPI from a closely related family of interactions or compounds that interact across multiple related PPI pairs, depending on which is more desirable.
在本报告中,我们描述了荧光蛋白-蛋白相互作用可视化(FLUOPPI)的开发,以实现同时测量 Mdm2:p53 和 Mdm4:p53 相互作用,从而评估针对这两种 PPI 的 p53 肽螺旋模拟分子的相对效率。Mdm2 和 Mdm4 的过度表达经常通过抑制其转录活性、增强其通过蛋白酶体的降解或阻止其核输入来使非突变型 p53在人类癌症中失活。开发抑制剂以破坏这两种蛋白相互作用之一或两者的结合一直是癌症治疗的药物开发的重点。使用双模态 FLUOPPI 系统,我们已经对单特异性针对 Mdm2 的化合物或对 Mdm2 和 Mdm4 都具有双特异性的化合物进行了表征。我们还证明,FLUOPPI 测定法可以通过准确评估和对测量下的细胞群体进行归一化,可靠地区分这些蛋白复合物的特异性和非特异性破坏。我们设想这种方法将提高识别针对密切相关的相互作用家族中的单个 PPI 具有特异性的化合物或与多个相关 PPI 对相互作用的化合物的效率,具体取决于哪种方法更可取。