Raveendran M, Senthil D, Utama B, Shen Y, Wang J, Zhang Y, Wang X L
Division of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas 77030, USA.
Cell Biol Toxicol. 2005 Jan;21(1):27-40. doi: 10.1007/s10565-005-1472-8.
Proteomic analysis is an important investigative tool used to systematically explore cellular proteins that are responsive to adverse environmental challenges. Tobacco smoking is the second major cause of death in the world. In this study, we utilized two-dimensional electrophoresis (2-DE) and mass spectrometry (MS) technologies to explore protein changes in human aortic endothelial cells (HAECs) in response to cigarette smoke extracts (CSE). Among 389 individual proteins resolved using 2-DE, 43 had a 2- to 3-fold change in levels as measured by spot intensity and 32 had more than a 3-fold change. Sixteen of the 32 spots with sufficient amount of proteins were excised for identification by performing matrix-assisted laser desorption/ionization (MALDI)-MS analysis. Using a peptide mass fingerprinting (PMF) to search the nrNCBI database, we identified all these 16 proteins, which were either increased (n = 9) or decreased (n = 7) after CSE treatment. All these proteins have known functions, however, none have been reported to be altered after CSE treatment. The findings from our study suggest that utilizing a systemic investigative tool, such as the proteomic approach using 2-DE, may play an important role in discovering novel molecular mechanisms for cigarette smoking-induced pathological changes. Further investigation following the systemic discoveries must be further examined as they may potentially lead to new therapeutic approaches to smoking-induced diseases - a health issue affecting everyone in the world.
蛋白质组学分析是一种重要的研究工具,用于系统地探索对不利环境挑战有反应的细胞蛋白质。吸烟是世界上第二大主要死因。在本研究中,我们利用二维电泳(2-DE)和质谱(MS)技术来探索人主动脉内皮细胞(HAECs)中响应香烟烟雾提取物(CSE)的蛋白质变化。在使用2-DE分离出的389种个体蛋白质中,有43种蛋白质斑点强度测量显示水平有2至3倍的变化,32种蛋白质有超过3倍的变化。对32个有足够蛋白质量的斑点中的16个进行切除,通过基质辅助激光解吸/电离(MALDI)-MS分析进行鉴定。使用肽质量指纹图谱(PMF)搜索nrNCBI数据库,我们鉴定了所有这16种蛋白质,它们在CSE处理后要么增加(n = 9)要么减少(n = 7)。所有这些蛋白质都有已知功能,然而,尚无报道称它们在CSE处理后会发生改变。我们研究的结果表明,利用一种系统性的研究工具,如使用2-DE的蛋白质组学方法,可能在发现吸烟诱导病理变化的新分子机制方面发挥重要作用。在这些系统性发现之后的进一步研究必须进一步审查,因为它们可能潜在地导致针对吸烟诱导疾病的新治疗方法——这是一个影响世界上每个人的健康问题。