Suppr超能文献

结合磷酸化蛋白质组学数据集和文献信息揭示细胞磷酸化网络中的功能连接。

Combining Phosphoproteomics Datasets and Literature Information to Reveal the Functional Connections in a Cell Phosphorylation Network.

机构信息

Department of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy.

出版信息

Proteomics. 2018 Mar;18(5-6):e1700311. doi: 10.1002/pmic.201700311.

Abstract

Protein phosphorylation modulates many biological processes. However, the characterization of the complex regulatory circuits underlying cell response to external and internal stimuli is still limited by our inability to describe the phosphorylation network on a global scale. Modern MS-based phosphoproteomics allows monitoring tens of thousands of phosphorylation sites in multiple conditions, making the approach ideal to explore signaling pathways mediated by phosphorylation. Here, we review recent advances in phosphoproteomics and discuss some of the computational approaches developed to facilitate extraction of signaling information from these datasets. Finally, this review focuses on approaches that integrate prior literature information with unbiased phosphoproteomics experiments.

摘要

蛋白质磷酸化调节着许多生物过程。然而,由于我们无法全面描述磷酸化网络,细胞对外界和内部刺激的反应背后复杂的调控回路的特征仍然受到限制。基于现代 MS 的磷酸蛋白质组学可以监测多种条件下数以万计的磷酸化位点,使其成为探索磷酸化介导的信号通路的理想方法。在这里,我们回顾了磷酸蛋白质组学的最新进展,并讨论了一些为了从这些数据集中提取信号信息而开发的计算方法。最后,本综述重点介绍了将先前文献信息与无偏磷酸蛋白质组学实验相结合的方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验