School of Pharmacy, Nanjing Medical University, 818 Tian Yuan East Road, Nanjing 211166, China.
School of Pharmacy, Nanjing Medical University, 818 Tian Yuan East Road, Nanjing 211166, China.
J Proteomics. 2017 Jan 30;152:172-180. doi: 10.1016/j.jprot.2016.11.002. Epub 2016 Nov 4.
In breast cancer, p53 could be functionally compromised by interaction with several proteins. Among those proteins, MDM2 serves as a pivotal negative regulator and counteracts p53 activation. Thus, the ability to quantitatively and accurately monitor the changes in level of p53-MDM2 interaction with disease state can enable an improved understanding of this protein-protein interaction (PPI), provide a better insight into cancer development and allow the emergence of advanced treatments. However, rare studies have evaluated the quantitative extent of PPI including p53-MDM2 interaction so far. In this study, a LC-MS/MS-based targeted proteomics assay was developed and coupled with co-immunoprecipitation (Co-IP) for the quantification of p53-MDM2 complex. A p53 antibody with the epitope residing at 156-214 residues achieved the greatest IP efficiency. 321KPLDGEYFTLQIR333 (p53) and 327ENWLPEDK334 (MDM2) were selected as surrogate peptides in the targeted analysis. Stable isotope-labeled synthetic peptides were used as internal standards. An LOQ (limit of quantification) of 2ng/mL was obtained. Then, the assay was applied to quantitatively detect total p53, total MDM2 and p53-MDM2 in breast cells and tissue samples. Western blotting was performed for a comparison. Finally, a quantitative time-course analysis in MCF-7 cells with the treatment of nutlin-3 as a PPI inhibitor was also monitored.
Proteins do not function as single entities but rather as a team player that has to communicate. Protein-protein interaction (PPI), normally by means of non-covalent contact among binary or large protein complex, is essential for many cellular processes including cancer progression. Thus, the ability to quantitatively and accurately monitor the changes in level of PPI with disease state can enable an improved understanding of PPI, provide a better insight into cancer development and allow the emergence of advanced treatments. However, rare studies have evaluated the quantitative extent of PPI so far. The major issue of current available approaches is the trade-off between sensitivity and specificity. Thus, techniques with the ability to quantify PPIs with both high sensitivity (low false-negative rate) and high specificity (low false-positive rate) are eagerly desired. Liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based targeted proteomics has shown its potential to study biomolecules because of its high sensitivity, high selectivity and wide dynamic range. In this study, we made an effort to develop a LC-MS/MS-based targeted proteomics assay for the quantitative detection of p53-MDM2 interaction in breast cells and tissue samples.
在乳腺癌中,p53 可以通过与几种蛋白质相互作用而在功能上受到损害。在这些蛋白质中,MDM2 作为一个关键的负调节剂,抵消 p53 的激活。因此,能够定量和准确地监测 p53-MDM2 相互作用随疾病状态的变化,可以使人们更好地理解这种蛋白质-蛋白质相互作用(PPI),深入了解癌症的发展,并允许出现先进的治疗方法。然而,到目前为止,很少有研究评估包括 p53-MDM2 相互作用在内的 PPI 的定量程度。在这项研究中,开发了一种基于 LC-MS/MS 的靶向蛋白质组学测定法,并与免疫沉淀(Co-IP)相结合,用于定量检测 p53-MDM2 复合物。一种表位位于 156-214 个残基的 p53 抗体实现了最大的 IP 效率。321KPLDGEYFTLQIR333(p53)和 327ENWLPEDK334(MDM2)被选为靶向分析中的替代肽。稳定同位素标记的合成肽被用作内标。获得了 2ng/mL 的定量下限(LOQ)。然后,该测定法用于定量检测乳腺癌细胞和组织样品中的总 p53、总 MDM2 和 p53-MDM2。进行了 Western 印迹以进行比较。最后,还监测了 MCF-7 细胞中作为 PPI 抑制剂的 nutlin-3 的定量时间过程分析。
蛋白质不是作为单个实体发挥功能,而是作为一个团队成员进行交流。蛋白质-蛋白质相互作用(PPI)通常通过二元或大蛋白质复合物之间的非共价接触进行,对于许多细胞过程包括癌症进展至关重要。因此,能够定量和准确地监测 PPI 随疾病状态的变化,可以使人们更好地理解 PPI,深入了解癌症的发展,并允许出现先进的治疗方法。然而,到目前为止,很少有研究评估 PPI 的定量程度。目前可用方法的主要问题是灵敏度和特异性之间的权衡。因此,人们迫切希望有一种能够以高灵敏度(低假阴性率)和高特异性(低假阳性率)定量 PPI 的技术。基于液相色谱-串联质谱(LC-MS/MS)的靶向蛋白质组学因其高灵敏度、高选择性和宽动态范围而显示出研究生物分子的潜力。在这项研究中,我们努力开发了一种基于 LC-MS/MS 的靶向蛋白质组学测定法,用于定量检测乳腺癌细胞和组织样品中的 p53-MDM2 相互作用。