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泛素蛋白连接酶E3A在乳腺癌细胞中作用的蛋白质组学与生物信息学分析
引用本文:谢少利,刘家有,王碧娟,黄红梅,李静佳,赵小波,邓世山,侯令密. 泛素蛋白连接酶E3A在乳腺癌细胞中作用的蛋白质组学与生物信息学分析[J]. 中国普通外科杂志, 2019, 28(5): 590-596
作者姓名:谢少利  刘家有  王碧娟  黄红梅  李静佳  赵小波  邓世山  侯令密
作者单位:(1. 川北医学院附属医院 甲状腺乳腺外科,四川 南充 637000;2. 川北医学院解剖教研室,四川 南充 637000;3. 川北医学院第二附属医院 内科,四川 南充 637000)
基金项目:国家自然科学基金资助项目(81172496);南充市财政局市校科技战略合作基金资助项目(18SXHZ0555);川北医学院课题基金资助项目(CBY16-A-YB14)。
摘    要:目的:通过蛋白质组学与生物信息学方法探讨泛素蛋白连接酶E3A(UBE3A)在乳腺癌细胞中的生物学功能。方法:将三阴性乳腺癌细胞MDA-MB-231分别转染shRNA-UBE3A片段(UBE3A敲低组)与阴性对照shRNA片段(对照组)后,采用双向电泳(2-DE)法及基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-TOF-MS/MS)对两组细胞的差异蛋白质分离和鉴定;采用DAVID Functional Annotation及String在线工具对差异表达蛋白质进行生物信息学分析。结果:2-DE及MALDI-TOF-TOF-MS/MS分离和鉴定出28个差异蛋白,其中UBE3A敲低组相对于对照组有4个表达上调,24个表达下调。与DAVID数据库有23个相匹配,其中能够进行生物学途径、细胞成分、分子功能注释分类的蛋白质分别为23个(100%)、20个(87.7%)和23个(100%),而在泛素-蛋白酶体系统及糖代谢方面分类比较明确;String分析显示这些差异蛋白中有23个存在直接或间接的联系。结论:UBE3A可能通过泛素-蛋白酶体系统功能与糖代谢途径参与乳腺癌细胞生物学行为的调控。

关 键 词:乳腺肿瘤  三阴性乳腺癌  泛素蛋白连接酶类  蛋白质组学  计算生物学
收稿时间:2018-11-23
修稿时间:2019-04-15

Proteomics and bioinformatics analyses of role of ubiquitin-protein ligase E3A in breast cancer cells
XIE Shaoli,LIU Jiayou,WANG Bijuan,HUANG Hongmei,LI Jingjia,ZHAO Xiaobo,DENG Shishan,HOU Lingmi. Proteomics and bioinformatics analyses of role of ubiquitin-protein ligase E3A in breast cancer cells[J]. Chinese Journal of General Surgery, 2019, 28(5): 590-596
Authors:XIE Shaoli  LIU Jiayou  WANG Bijuan  HUANG Hongmei  LI Jingjia  ZHAO Xiaobo  DENG Shishan  HOU Lingmi
Affiliation:(1. Department of Thyroid and Breast Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China; 2. Department of Anatomy, North Sichuan Medical College, Nanchong, Sichuan 637000, China; 3. Department of Internal Medicine, the Second Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan 637000, China)
Abstract:Objective: To investigate the potential biological function of ubiquitin-protein ligase E3A (UBE3A) in breast cancer cells through proteomics and bioinformatics methods. Methods: The triple-negative breast cancer MDA-MB-231 cells were transfected with shRNA-UBE3A sequences (UBE3A knock-down group) or scrambled shRNA sequences (control group), respectively. Then, the differentially expressed proteins between the two groups of cells were separated and identified by two-dimensional electrophoresis (2-DE) and matrix-assisted laser desorption/ionization (MALDI-TOF-TOF-MS/MS); bioinformatics analyses of the differentially expressed proteins were performed using DAVID Functional Annotation and String online tools.Results: Twenty-eight differentially expressed proteins were obtained and identified by 2-DE and MALDI-TOF-TOF-MS/MS, and 23 proteins were matched in DAVID database, in which, 4 were up-regulated, 24 were down-regulated in UBE3A knock-down group versus control group. Twenty-three proteins were recognized by DAVID database, in which, 23 (100%), 20 (87.7%) and 23 (100%) proteins could be annotated by biological pathway, cellular components and annotation of molecule functions especially, some of them were clearly related to the ubiquitin-proteasome system and glucose metabolism. String analysis showed that there were direct or indirect relations among the 23 proteins.Conclusion: UBE3A may participate in regulation of the biological behaviors of breast cancer cells via the ubiquitin-proteasome system and glucose metabolism pathway.
Keywords:Breast Neoplasms   Triple Negative Breast Neoplasms   Ubiquitin-Protein Ligases   Proteomics   Computational Biology
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