| 纳米材料在蛋白磷酸化分析中的应用研究 | |
| 王宗花 ; 孙娜 ; 刘洋 ; 夏建飞 ; 张菲菲 ; 夏霖 ; 夏延致 ; WANG Zong-hua ; SUN Na ; LIU Yang ; XIA Jian-fei ; ZHANG Fei-fei ; XIA Lin ; XIA Yan-zhi | |
| 2016-03-30 ; 2016-03-30 | |
| 关键词 | 纳米材料 蛋白磷酸化 肽段富集 信号放大 研究进展 nanostructured materials protein phosphorylation enrichment of phosphopeptide signal amplification development TB383.1 |
| 其他题名 | Application and Development of Nanomaterials in Protein Phosphorylation Analysis |
| 中文摘要 | 蛋白质磷酸化修饰是一种重要的蛋白质翻译后修饰,在细胞代谢过程中发挥着重要作用。当蛋白质的正常磷酸化调节发生异常时,会导致癌症、糖尿病、心脏病等各种疾病的发生。因此,蛋白磷酸化分析对于疾病的早期快速诊断、药物筛选和治疗等方面具有重大的意义。由于蛋白质磷酸化过程是动态的,并且磷酸化肽段或蛋白在生物样品中的含量较低,因此高灵敏的蛋白磷酸化分析面临着巨大的挑战。该文依据在检测过程中,选择性识别或捕获磷酸化的肽段或蛋白的主要机理,综述了近几年纳米材料对磷酸化肽段的富集和信号放大作用在蛋白磷酸化分析中的研究进展,并对其未来研究方向进行了展望。; Protein phosphorylation is one of the most important post-translational modifications,and also plays a vital role in cellular metabolism.Aberrant protein phosphorylation states and kinase activity are associated with many human diseases such as cancer,diabetes mellitus and heart disease.Due to the dynamic reversibility of protein phosphorylation and the low abundance of phosphoprotein/phosphopeptide in biological samples,it is a big challenge to the ultrasensitive detection of protein phosphorylation,which is most significant for earlier clinical analysis on disease and drug screening.In this work,the mechanism for selective recognization or capture of phosphoprotein/phosphopeptide was discussed.The main mechanisms for enrichment of phosphoprotein/phosphopeptide or signal amplification in protein phosphorylation analysis based on nanostructured materials were introduced in detail.Based on that mechanism,the recent application and development of nanostructured materials in protein phosphorylation analysis were reviewed. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/145941]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 王宗花,孙娜,刘洋,等. 纳米材料在蛋白磷酸化分析中的应用研究[J],2016, 2016. |
| APA | 王宗花.,孙娜.,刘洋.,夏建飞.,张菲菲.,...&XIA Yan-zhi.(2016).纳米材料在蛋白磷酸化分析中的应用研究.. |
| MLA | 王宗花,et al."纳米材料在蛋白磷酸化分析中的应用研究".(2016). |
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