磷酸化连接的复合物分析识别Hippo信号整合所需的组装。

IF 8.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Systems Biology Pub Date : 2023-04-12 DOI:10.15252/msb.202211024
Federico Uliana, Rodolfo Ciuffa, Ranjan Mishra, Andrea Fossati, Fabian Frommelt, Sabrina Keller, Martin Mehnert, Eivind Salmorin Birkeland, Frank van Drogen, Nevena Srejic, Matthias Peter, Nicolas Tapon, Ruedi Aebersold, Matthias Gstaiger
{"title":"磷酸化连接的复合物分析识别Hippo信号整合所需的组装。","authors":"Federico Uliana,&nbsp;Rodolfo Ciuffa,&nbsp;Ranjan Mishra,&nbsp;Andrea Fossati,&nbsp;Fabian Frommelt,&nbsp;Sabrina Keller,&nbsp;Martin Mehnert,&nbsp;Eivind Salmorin Birkeland,&nbsp;Frank van Drogen,&nbsp;Nevena Srejic,&nbsp;Matthias Peter,&nbsp;Nicolas Tapon,&nbsp;Ruedi Aebersold,&nbsp;Matthias Gstaiger","doi":"10.15252/msb.202211024","DOIUrl":null,"url":null,"abstract":"<p><p>While several computational methods have been developed to predict the functional relevance of phosphorylation sites, experimental analysis of the interdependency between protein phosphorylation and Protein-Protein Interactions (PPIs) remains challenging. Here, we describe an experimental strategy to establish interdependencies between protein phosphorylation and complex formation. This strategy is based on three main steps: (i) systematically charting the phosphorylation landscape of a target protein; (ii) assigning distinct proteoforms of the target protein to different protein complexes by native complex separation (AP-BNPAGE) and protein correlation profiling; and (iii) analyzing proteoforms and complexes in cells lacking regulators of the target protein. We applied this strategy to YAP1, a transcriptional co-activator for the control of organ size and tissue homeostasis that is highly phosphorylated and among the most connected proteins in human cells. We identified multiple YAP1 phosphosites associated with distinct complexes and inferred how both are controlled by Hippo pathway members. We detected a PTPN14/LATS1/YAP1 complex and suggest a model how PTPN14 inhibits YAP1 via augmenting WW domain-dependent complex formation and phosphorylation by LATS1/2.</p>","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":null,"pages":null},"PeriodicalIF":8.5000,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090947/pdf/","citationCount":"1","resultStr":"{\"title\":\"Phosphorylation-linked complex profiling identifies assemblies required for Hippo signal integration.\",\"authors\":\"Federico Uliana,&nbsp;Rodolfo Ciuffa,&nbsp;Ranjan Mishra,&nbsp;Andrea Fossati,&nbsp;Fabian Frommelt,&nbsp;Sabrina Keller,&nbsp;Martin Mehnert,&nbsp;Eivind Salmorin Birkeland,&nbsp;Frank van Drogen,&nbsp;Nevena Srejic,&nbsp;Matthias Peter,&nbsp;Nicolas Tapon,&nbsp;Ruedi Aebersold,&nbsp;Matthias Gstaiger\",\"doi\":\"10.15252/msb.202211024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>While several computational methods have been developed to predict the functional relevance of phosphorylation sites, experimental analysis of the interdependency between protein phosphorylation and Protein-Protein Interactions (PPIs) remains challenging. Here, we describe an experimental strategy to establish interdependencies between protein phosphorylation and complex formation. This strategy is based on three main steps: (i) systematically charting the phosphorylation landscape of a target protein; (ii) assigning distinct proteoforms of the target protein to different protein complexes by native complex separation (AP-BNPAGE) and protein correlation profiling; and (iii) analyzing proteoforms and complexes in cells lacking regulators of the target protein. We applied this strategy to YAP1, a transcriptional co-activator for the control of organ size and tissue homeostasis that is highly phosphorylated and among the most connected proteins in human cells. We identified multiple YAP1 phosphosites associated with distinct complexes and inferred how both are controlled by Hippo pathway members. We detected a PTPN14/LATS1/YAP1 complex and suggest a model how PTPN14 inhibits YAP1 via augmenting WW domain-dependent complex formation and phosphorylation by LATS1/2.</p>\",\"PeriodicalId\":18906,\"journal\":{\"name\":\"Molecular Systems Biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2023-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090947/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Systems Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.15252/msb.202211024\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Systems Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.15252/msb.202211024","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 1

摘要

虽然已经开发了几种计算方法来预测磷酸化位点的功能相关性,但蛋白质磷酸化和蛋白质-蛋白质相互作用(PPIs)之间相互依赖性的实验分析仍然具有挑战性。在这里,我们描述了一种实验策略来建立蛋白质磷酸化和复合物形成之间的相互依赖性。该策略基于三个主要步骤:(i)系统地绘制目标蛋白的磷酸化景观;(ii)通过天然复合物分离(AP-BNPAGE)和蛋白质相关分析,将目标蛋白的不同蛋白质形态分配给不同的蛋白质复合物;(iii)分析缺乏目标蛋白调节因子的细胞中的蛋白质形态和复合物。我们将这种策略应用于YAP1, YAP1是一种转录共激活因子,用于控制器官大小和组织稳态,它是高度磷酸化的,是人类细胞中联系最紧密的蛋白质之一。我们发现了多个与不同复合物相关的YAP1磷酸化位点,并推断了它们是如何被Hippo通路成员控制的。我们检测到PTPN14/LATS1/YAP1复合物,并提出了PTPN14如何通过增加WW结构域依赖性复合物的形成和LATS1/2的磷酸化来抑制YAP1的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Phosphorylation-linked complex profiling identifies assemblies required for Hippo signal integration.

While several computational methods have been developed to predict the functional relevance of phosphorylation sites, experimental analysis of the interdependency between protein phosphorylation and Protein-Protein Interactions (PPIs) remains challenging. Here, we describe an experimental strategy to establish interdependencies between protein phosphorylation and complex formation. This strategy is based on three main steps: (i) systematically charting the phosphorylation landscape of a target protein; (ii) assigning distinct proteoforms of the target protein to different protein complexes by native complex separation (AP-BNPAGE) and protein correlation profiling; and (iii) analyzing proteoforms and complexes in cells lacking regulators of the target protein. We applied this strategy to YAP1, a transcriptional co-activator for the control of organ size and tissue homeostasis that is highly phosphorylated and among the most connected proteins in human cells. We identified multiple YAP1 phosphosites associated with distinct complexes and inferred how both are controlled by Hippo pathway members. We detected a PTPN14/LATS1/YAP1 complex and suggest a model how PTPN14 inhibits YAP1 via augmenting WW domain-dependent complex formation and phosphorylation by LATS1/2.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Molecular Systems Biology
Molecular Systems Biology 生物-生化与分子生物学
CiteScore
18.50
自引率
1.00%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems. Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.
期刊最新文献
Identifying T-cell clubs by embracing the local harmony between TCR and gene expressions. XCMS-METLIN: data-driven metabolite, lipid, and chemical analysis. Author Correction: Predictive evolution of metabolic phenotypes using model-designed environments. Correction of a widespread bias in pooled chemical genomics screens improves their interpretability. Prediction of the 3D cancer genome from whole-genome sequencing using InfoHiC.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1