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Differential proteins among normal cervix cells and cervical cancer cells with HPV-16 infection, through mass spectrometry-based Proteomics (2D-DIGE) in women from Southern México

机译:通过基于质谱的蛋白质组学(2D-DIGE)在墨西哥南部女性中正常宫颈细胞和感染HPV-16的宫颈癌细胞之间的差异蛋白

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Background Cervical cancer (CC) is the fourth most common cancer in women worldwide with an estimated 528,000 new cases in 2012. The same year México had an incidence of 13,960 and a mortality of 4769 cases. There are several diagnosis methods of CC; among the most frequents are the conventional Pap cytology (Pap), colposcopy, and visual inspection with acetic acid (VIA), histopathological examination, tests of imaging and detection of high-risk papilloma virus (HR-HPV) with molecular tests (PCR, hybridization, sequencing). Proteomics is a tool for the detection of new biomarkers that can be associated with clinical stage, histological type, prognosis, and/or response to treatment. In this study we performed a comparative analysis of CC cells with normal cervical cells. The proteomic analysis was carried out with the fluorescent two-dimensional electrophoresis (2D-DIGE) technique to subsequently identify differential protein profiles using Decyder Software, and the selected proteins were identified by Mass Spectrometry (MALDI-TOF). Results The proteins that showed an increased expression in cervical cancer in comparison with normal cervix cells were: Mimecan, Actin from aortic smooth muscle and Lumican. While Keratin, type II cytoskeletal 5, Peroxiredoxin-1 and 14-3-3 protein sigma showed a decrease in their protein expression level in cervical cancer in comparison with normal cervix cells. Conclusions Thus, this study was successful in identifying biomarker signatures for cervical cancer, and might provide new insights into the mechanism of CC progression.
机译:背景宫颈癌(CC)是全球女性中第四大最常见的癌症,2012年估计有528,000例新病例。同年,墨西哥的发病率为13,960例,死亡率为4769例。 CC的诊断方法有几种。其中最常见的是常规的巴氏细胞学(Pap),阴道镜检查和醋酸目视检查(VIA),组织病理学检查,高危乳头瘤病毒(HR-HPV)成像检查和分子检测(PCR,杂交,测序)。蛋白质组学是一种用于检测可能与临床阶段,组织学类型,预后和/或对治疗反应相关的新生物标志物的工具。在这项研究中,我们对CC细胞与正常宫颈细胞进行了比较分析。使用荧光二维电泳(2D-DIGE)技术进行蛋白质组分析,随后使用Decyder Software识别差异蛋白谱,并通过质谱(MALDI-TOF)识别选定的蛋白。结果与正常子宫颈细胞相比,在宫颈癌中表达增加的蛋白是:Mimecan,主动脉平滑肌肌动蛋白和Lumican。与正常子宫颈细胞相比,II型细胞骨架5,Peroxiredoxin-1和14-3-3蛋白质角蛋白在宫颈癌中的蛋白表达水平下降。结论因此,这项研究成功地鉴定了宫颈癌的生物标志物特征,并可能为CC进展的机制提供新的见解。

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