癌症蛋白质组:一种功能解读癌症蛋白质组格局的资源
Dezhong Lv1, Donghao Li1, Yangyang Cai1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150081, China.
Nucleic acids research
|October 12, 2023
概括
癌症蛋白质组是一种新的资源,使用质谱数据解读癌症蛋白质组景观. 它通过分析蛋白质和微蛋白质丰度以及翻译后的修改,有助于识别潜在的瘤蛋白标记物.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 癌症生物学 癌症生物学
- 生物信息学是一种生物信息学.
背景情况:
- 基于质谱学 (MS) 的蛋白质组学能够大规模量化蛋白质,揭示了各种癌症中改变的信号通路.
- 缺乏专门的,全面的资源阻碍了深入的癌症蛋白质组学研究.
研究的目的:
- 介绍CancerProteome,一个功能解密和可视化癌症蛋白质组景观的资源.
- 为分析癌症中的蛋白质和微蛋白质丰度和翻译后修饰 (PTMs) 提供一个平台.
主要方法:
- 从21种癌症类型的7406个样本中,手动化和重新分析公开可用的基于MS的定量和PTM蛋白质组.
- 对31,120种蛋白质和4,111种微蛋白质进行丰富度和PTM水平的检查.
- 开发六个分析模块,以评估蛋白质对致癌的贡献,包括功能丰富,蛋白质-蛋白质关联,药物敏感性和临床相关性.
主要成果:
- 癌症蛋白质组集成了定量蛋白质组,PTM数据和蛋白质与蛋白质相互作用.
- 评估的蛋白质丰度与转录或PTM水平相关.
- 该资源允许用户搜索特定的蛋白质/微蛋白质并生成可视化图像.
结论:
- 癌症蛋白质组 (CancerProteome) 作为一种有价值的资源,用于功能性地解读癌症蛋白质组格局.
- 它为识别瘤蛋白标记物提供了新的见解.
- 该平台可方便用户友好地访问和分析癌症蛋白质组数据.
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