| 蛋白组学方法应用于人肺癌组织蛋白表达的研究 |
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| 引用本文： | 邓斌,罗国安,王义明,王鸿丽,王杰,魏开华,陈先.蛋白组学方法应用于人肺癌组织蛋白表达的研究[J].福建农林大学学报(哲学社会科学版),2003(2). |
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| 作者姓名： | 邓斌 罗国安 王义明 王鸿丽 王杰 魏开华 陈先 |
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| 作者单位： | 清华大学生命科学与工程研究院，清华大学生命科学与工程研究院，清华大学生命科学与工程研究院，军事医学科学院国家生物医学分析中心，军事医学科学院国家生物医学分析中心，军事医学科学院国家生物医学分析中心，Chemistry Division，Los Alamos National Laboratory，Los Alamos，NM 87544，USA 北京 100084，北京 100084，北京 100084，北京 100850，北京 100850，北京 100850 |
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| 基金项目： | 国家973项目资助(批准号2001CB510306) |
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| 摘 要： | 采用蛋白组学方法,利用4例中国肺癌患者的切除肺癌组织测定了磷癌(SQCLC)的蛋白表达 从双向电泳(2-DEgel)切下53个点,49个蛋白与数据库搜索结果吻合。在鉴定的24个蛋白中,17个蛋白有报道是与肺癌相关的蛋白其7个蛋白与人类其它癌症相关。所建立的蛋白组学方法能够用于建立一种基于组织的化验方法,发现肺癌患者组织中表达的蛋白标记物以用于癌症的分子学诊断。
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| 关 键 词： | 肺癌蛋白组学 组织 蛋白表达 发现 数据库 |
Protein expression investigations of human squamous cell lung carcinomas at the proteomic level |
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| Deng Bin,Luo Guoan,Wang Yiming,Wang Hongli,Wang Jie,Wei Kaihua,Chen Xian
School of Life Science and Engineering,Tsinghua University,Beijing. ,China,
National Center of Biomedical Analysis.Protein expression investigations of human squamous cell lung carcinomas at the proteomic level[J].Journal of Fujian Agriculture and Forestry University,2003(2). |
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| Authors: | Deng Bin Luo Guoan Wang Yiming Wang Hongli Wang Jie Wei Kaihua Chen Xian
School of Life Science and Engineering Tsinghua University Beijing China National Center of Biomedical Analysis |
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| Affiliation: | Deng Bin,Luo Guoan,Wang Yiming,Wang Hongli,Wang Jie,Wei Kaihua,Chen Xian
School of Life Science and Engineering,Tsinghua University,Beijing. 100084,China,
National Center of Biomedical Analysis. Beijing,100850,China,MS M888. Bioscience Division,Los Alamos National Laboratory,Los Alamos. NM 87544,USA |
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| Abstract: | We used proteomic approach to identify the expressing proteins of lung squamous cell carcinoma (SQCLC) from surgical resection of 4 Chinese patients. From a total of 53 spots excised from the 2-DE gel, 49 proteins had matches returned from the database search leading to the identification of these proteins. Among 24 identified proteins, 17 proteins had been previously proposed as the associated proteins with lung carcinomas and the other 7 proteins linked to the other human carcinomas. According the protein-expressed profiles in SQCLC, the proteomic approach we have implemented has utility for the development of tissue-based assays for cancer molecular diagnosis on the discovery of protein markers expressed in tissues from patients with lung cancer. |
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| Keywords: | Lung cancer proteomic Tissue Protein expression Discovery database |
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