PTMoreR-enabled cross-species PTM mapping and comparative phosphoproteomics across mammals.

IF 4.3 Q1 BIOCHEMICAL RESEARCH METHODS
Cell Reports Methods Pub Date : 2024-09-16 Epub Date: 2024-09-09 DOI:10.1016/j.crmeth.2024.100859
Shisheng Wang, Yi Di, Yin Yang, Barbora Salovska, Wenxue Li, Liqiang Hu, Jiahui Yin, Wenguang Shao, Dong Zhou, Jingqiu Cheng, Dan Liu, Hao Yang, Yansheng Liu
{"title":"PTMoreR-enabled cross-species PTM mapping and comparative phosphoproteomics across mammals.","authors":"Shisheng Wang, Yi Di, Yin Yang, Barbora Salovska, Wenxue Li, Liqiang Hu, Jiahui Yin, Wenguang Shao, Dong Zhou, Jingqiu Cheng, Dan Liu, Hao Yang, Yansheng Liu","doi":"10.1016/j.crmeth.2024.100859","DOIUrl":null,"url":null,"abstract":"<p><p>To support PTM proteomic analysis and annotation in different species, we developed PTMoreR, a user-friendly tool that considers the surrounding amino acid sequences of PTM sites during BLAST, enabling a motif-centric analysis across species. By controlling sequence window similarity, PTMoreR can map phosphoproteomic results between any two species, perform site-level functional enrichment analysis, and generate kinase-substrate networks. We demonstrate that the majority of real P-sites in mice can be inferred from experimentally derived human P-sites with PTMoreR mapping. Furthermore, the compositions of 129 mammalian phosphoproteomes can also be predicted using PTMoreR. The method also identifies cross-species phosphorylation events that occur on proteins with an increased tendency to respond to the environmental factors. Moreover, the classic kinase motifs can be extracted across mammalian species, offering an evolutionary angle for refining current motifs. PTMoreR supports PTM proteomics in non-human species and facilitates quantitative phosphoproteomic analysis.</p>","PeriodicalId":29773,"journal":{"name":"Cell Reports Methods","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11440062/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Reports Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.crmeth.2024.100859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

To support PTM proteomic analysis and annotation in different species, we developed PTMoreR, a user-friendly tool that considers the surrounding amino acid sequences of PTM sites during BLAST, enabling a motif-centric analysis across species. By controlling sequence window similarity, PTMoreR can map phosphoproteomic results between any two species, perform site-level functional enrichment analysis, and generate kinase-substrate networks. We demonstrate that the majority of real P-sites in mice can be inferred from experimentally derived human P-sites with PTMoreR mapping. Furthermore, the compositions of 129 mammalian phosphoproteomes can also be predicted using PTMoreR. The method also identifies cross-species phosphorylation events that occur on proteins with an increased tendency to respond to the environmental factors. Moreover, the classic kinase motifs can be extracted across mammalian species, offering an evolutionary angle for refining current motifs. PTMoreR supports PTM proteomics in non-human species and facilitates quantitative phosphoproteomic analysis.

由 PTMoreR 支持的哺乳动物跨物种 PTM 图谱和比较磷酸化蛋白质组学。
为了支持不同物种的 PTM 蛋白组学分析和注释,我们开发了 PTMoreR,这是一种用户友好型工具,在 BLAST 过程中考虑了 PTM 位点周围的氨基酸序列,从而实现了以主题为中心的跨物种分析。通过控制序列窗口的相似性,PTMoreR 可以映射任何两个物种之间的磷酸化蛋白质组结果,进行位点级功能富集分析,并生成激酶-底物网络。我们证明,通过 PTMoreR 映射,可以从实验得出的人类 P 位点推断出小鼠的大部分真实 P 位点。此外,使用 PTMoreR 还可以预测 129 个哺乳动物磷酸蛋白组的组成。该方法还能识别跨物种磷酸化事件,这些事件发生在对环境因素有更大反应倾向的蛋白质上。此外,还可以提取哺乳动物物种间的经典激酶基团,从进化角度完善当前的基团。PTMoreR 支持非人类物种的 PTM 蛋白组学,并有助于定量磷酸蛋白组学分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信