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SysPTM 2.0:一个用于翻译后修饰的更新的系统资源。

SysPTM 2.0: an updated systematic resource for post-translational modification.

作者信息

Li Jing, Jia Jia, Li Hong, Yu Jian, Sun Han, He Ying, Lv Daqing, Yang Xiaojuan, Glocker Michael O, Ma Liangxiao, Yang Jiabei, Li Ling, Li Wei, Zhang Guoqing, Liu Qian, Li Yixue, Xie Lu

机构信息

Key Laboratory of Biomedical Photonics of Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P. R. China, Shanghai Center for Bioinformation Technology, Shanghai Institutes of Biomedicine, Shanghai Academy of Science and Technology, Shanghai 201203, P. R. China, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, P. R. China, Department of Bioinformatics and Biostatistics, Shanghai Jiaotong University, Shanghai 200240, P. R. China, Key Laboratory of Systems Biology, Chinese Academy of Sciences, Shanghai 200031, P. R. China and Proteome Center Rostock, Department for Proteome Research, Institute of Immunology, University of Rostock, Rostock 18055, Germany.

出版信息

Database (Oxford). 2014 Apr 3;2014:bau025. doi: 10.1093/database/bau025. Print 2014.

Abstract

Post-translational modifications (PTMs) of proteins play essential roles in almost all cellular processes, and are closely related to physiological activity and disease development of living organisms. The development of tandem mass spectrometry (MS/MS) has resulted in a rapid increase of PTMs identified on proteins from different species. The collection and systematic ordering of PTM data should provide invaluable information for understanding cellular processes and signaling pathways regulated by PTMs. For this original purpose we developed SysPTM, a systematic resource installed with comprehensive PTM data and a suite of web tools for annotation of PTMs in 2009. Four years later, there has been a significant advance with the generation of PTM data and, consequently, more sophisticated analysis requirements have to be met. Here we submit an updated version of SysPTM 2.0 (http://lifecenter.sgst.cn/SysPTM/), with almost doubled data content, enhanced web-based analysis tools of PTMBlast, PTMPathway, PTMPhylog, PTMCluster. Moreover, a new session SysPTM-H is constructed to graphically represent the combinatorial histone PTMs and dynamic regulation of histone modifying enzymes, and a new tool PTMGO is added for functional annotation and enrichment analysis. SysPTM 2.0 not only facilitates resourceful annotation of PTM sites but allows systematic investigation of PTM functions by the user. Database URL: http://lifecenter.sgst.cn/SysPTM/.

摘要

蛋白质的翻译后修饰(PTM)在几乎所有细胞过程中都起着至关重要的作用,并且与生物体的生理活动和疾病发展密切相关。串联质谱(MS/MS)技术的发展使得不同物种蛋白质上鉴定出的PTM数量迅速增加。PTM数据的收集和系统整理应为理解由PTM调控的细胞过程和信号通路提供宝贵信息。出于这一初衷,我们在2009年开发了SysPTM,这是一个系统资源库,其中安装了全面的PTM数据以及一套用于PTM注释的网络工具。四年后,PTM数据有了显著进展,因此必须满足更复杂的分析要求。在此,我们提交了SysPTM 2.0的更新版本(http://lifecenter.sgst.cn/SysPTM/),其数据量几乎翻倍,增强了基于网络的分析工具PTMBlast、PTMPathway、PTMPhylog、PTMCluster。此外,构建了一个新的SysPTM-H板块以图形方式展示组合式组蛋白PTM和组蛋白修饰酶的动态调控,并添加了一个新工具PTMGO用于功能注释和富集分析。SysPTM 2.0不仅有助于对PTM位点进行丰富注释,还允许用户对PTM功能进行系统研究。数据库网址:http://lifecenter.sgst.cn/SysPTM/

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5420/3975108/687797f98ca8/bau025f1p.jpg

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