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使用新型大规模蛋白质组学分析软件对番茄红素在LNCaP细胞中的作用进行系统研究。

Systematic investigation of lycopene effects in LNCaP cells by use of novel large-scale proteomic analysis software.

作者信息

Goo Young Ah, Li Zheng, Pajkovic Natasa, Shaffer Scott, Taylor Greg, Chen Jinzhi, Campbell David, Arnstein Larry, Goodlett David R, van Breemen Richard B

机构信息

Medicinal Chemistry, University of Washington, Seattle, WA, USA.

出版信息

Proteomics Clin Appl. 2007 May 1;1(5):513-523. doi: 10.1002/prca.200600511.

Abstract

Lycopene, the red pigment of tomatoes, is a carotenoid with potent antioxidant properties. Although lycopene might function as a prostate cancer chemoprevention agent, little is known about its effects at the cellular level. To define general changes induced by treatment of cells with lycopene, and to gain insights into the possible chemoprevention properties of lycopene, we investigated changes in protein expression after lycopene treatment in human LNCaP cells. The high throughput proteomics data were then visualized and analyzed by novel biological protein pathway modeling software. Differentially expressed proteins were identified, and the data were analyzed by protein pathway simulation software without need for specialized programming by importing pathway models from a number of sources or creating their own. One notable outcome was the identification of a group of upregulated proteins involved in detoxification of reactive oxygen species. This finding suggests that a possible mechanism of lycopene chemoprevention is the stimulation of detoxification enzymes associated with the antioxidant response element. Novel biological pathway modeling software enhances analysis of large proteomics data. When applied to the analysis of proteins differentially expressed in prostate cancer cells upon treatment with lycopene, the upregulation of detoxification enzymes was identified.

摘要

番茄红素是西红柿中的红色色素,是一种具有强大抗氧化特性的类胡萝卜素。尽管番茄红素可能作为前列腺癌化学预防剂发挥作用,但其在细胞水平的作用却知之甚少。为了确定用番茄红素处理细胞所引起的一般变化,并深入了解番茄红素可能的化学预防特性,我们研究了番茄红素处理人LNCaP细胞后蛋白质表达的变化。然后,通过新型生物蛋白质通路建模软件对高通量蛋白质组学数据进行可视化和分析。鉴定出差异表达的蛋白质,并通过蛋白质通路模拟软件对数据进行分析,无需通过从多个来源导入通路模型或创建自己的通路模型进行专门编程。一个显著的结果是鉴定出一组参与活性氧解毒的上调蛋白质。这一发现表明,番茄红素化学预防的一种可能机制是刺激与抗氧化反应元件相关的解毒酶。新型生物通路建模软件增强了对大型蛋白质组学数据的分析。当应用于分析用番茄红素处理后前列腺癌细胞中差异表达的蛋白质时,鉴定出了解毒酶的上调。

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