Proteomic patterns of cervical cancer cell lines, a network perspective.
Proteomic patterns of cervical cancer cell lines, a network perspective.
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DOI：
10.1186/1752-0509-5-96
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发表时间：
2011-06-22
影响因子：
--
通讯作者：
Encarnación-Guevara S
中科院分区：
文献类型：
--
作者：
Higareda-Almaraz JC;Enríquez-Gasca Mdel R;Hernández-Ortiz M;Resendis-Antonio O;Encarnación-Guevara S
宫颈癌是女性人口的主要死亡因素。这种肿瘤是研究癌症维持机制的极好模型，因为在大多数情况下，人乳头状瘤病毒（HPV）是病因因素。为了表征恶性转化对细胞活性的影响，蛋白质组学研究构成了监测这种疾病引起的生物学改变的可靠方法。在这种背景下的计划，一个系统的描述，使不同来源的细胞系之间的共同事件的识别，需要区分致癌的本质。通过这项研究，我们试图实现一个系统的角度来看，共同的蛋白质组谱的六个宫颈癌细胞系，阳性和阴性的HPV，并不同于对应的非致瘤细胞系，HaCaT的配置文件。我们的目标是确定参与癌症维持的常见细胞事件，以及建立一个与蛋白质组学衍生结果一起工作的管道。我们通过2D SDS-PAGE和MALDI-TOF质谱分析了6个宫颈癌细胞系的蛋白提取物，从中我们鉴定出66个共有蛋白。我们称这组蛋白质为“宫颈癌的中心核心”。从这组核心蛋白质开始，我们获得了一个PPI网络，通过拓扑分析，它指向了一些可能在肿瘤过程中发挥核心作用的蛋白质，如14-3-3 β。转录因子的计算机模拟过度表达分析指出c-Myc、Max和E2 F1的过度表达是参与编排肿瘤表型的关键转录因子。我们的研究结果表明，有一个“中央核心的宫颈癌”的蛋白质表达模式，并建议14-3-3 β是决定细胞增殖或死亡的关键。此外，我们的生物信息学分析表明，肿瘤表型是由一个非经典的调控途径。
Cervical cancer is a major mortality factor in the female population. This neoplastic is an excellent model for studying the mechanisms involved in cancer maintenance, because the Human Papilloma Virus (HPV) is the etiology factor in most cases. With the purpose of characterizing the effects of malignant transformation in cellular activity, proteomic studies constitute a reliable way to monitor the biological alterations induced by this disease. In this contextual scheme, a systemic description that enables the identification of the common events between cell lines of different origins, is required to distinguish the essence of carcinogenesis. With this study, we sought to achieve a systemic perspective of the common proteomic profile of six cervical cancer cell lines, both positive and negative for HPV, and which differ from the profile corresponding to the non-tumourgenic cell line, HaCaT. Our objectives were to identify common cellular events participating in cancer maintenance, as well as the establishment of a pipeline to work with proteomic-derived results. We analyzed by means of 2D SDS-PAGE and MALDI-TOF mass spectrometry the protein extracts of six cervical cancer cell lines, from which we identified a consensus of 66 proteins. We call this group of proteins, the "central core of cervical cancer". Starting from this core set of proteins, we acquired a PPI network that pointed, through topological analysis, to some proteins that may well be playing a central role in the neoplastic process, such as 14-3-3ζ. In silico overrepresentation analysis of transcription factors pointed to the overexpression of c-Myc, Max and E2F1 as key transcription factors involved in orchestrating the neoplastic phenotype. Our findings show that there is a "central core of cervical cancer" protein expression pattern, and suggest that 14-3-3ζ is key to determine if the cell proliferates or dies. In addition, our bioinformatics analysis suggests that the neoplastic phenotype is governed by a non-canonical regulatory pathway.
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影响因子：
14.9
作者：
UniProt Consortium
通讯作者：
UniProt Consortium
影响因子：
3.4
作者：
Choi, YP;Kang, S;Cho, NH
通讯作者：
Cho, NH
DOI：
10.1186/bcr1006
发表时间：
2005
期刊：
Breast cancer research : BCR
影响因子：
--
作者：
Elliott BE;Meens JA;SenGupta SK;Louvard D;Arpin M
通讯作者：
Arpin M
影响因子：
4.8
作者：
Hwang, SG;Lee, DY;Choe, JH
通讯作者：
Choe, JH
影响因子：
16
作者：
Baudino, TA;Maclean, KH;Cleveland, JL
通讯作者：
Cleveland, JL