A Multiplexed SEC-MS Approach to Systematically Study the Interplay Between Protein Assembly-States and Phosphorylation Events.

Ella Doron-Mandel, Benjamin Judah Bokor, Yanzhe Ma, Lena Annika Street, Lauren Clarissa Tang, Ahmed Ali Abdou, Neel H Shah, George Rosenberger, Marko Jovanovic
{"title":"A Multiplexed SEC-MS Approach to Systematically Study the Interplay Between Protein Assembly-States and Phosphorylation Events.","authors":"Ella Doron-Mandel, Benjamin Judah Bokor, Yanzhe Ma, Lena Annika Street, Lauren Clarissa Tang, Ahmed Ali Abdou, Neel H Shah, George Rosenberger, Marko Jovanovic","doi":"10.1101/2023.01.12.523793","DOIUrl":null,"url":null,"abstract":"<p><p>Protein molecular interactions and post-translational modifications (PTMs), such as phosphorylation, can be co-dependent and reciprocally co-regulate each other. Although this interplay is central for many biological processes, a systematic method to simultaneously study assembly-states and PTMs from the same sample is critically missing. Here, we introduce SEC-MX (Size Exclusion Chromatography fractions MultipleXed), a global quantitative method combining Size Exclusion Chromatography and PTM-enrichment for simultaneous characterization of PTMs and assembly-states. SEC-MX enhances throughput, allows phosphopeptide enrichment, and facilitates quantitative differential comparisons between biological conditions. Applying SEC-MX to HEK293 and HCT116 cells, we generated a proof-of-concept dataset mapping thousands of phosphopeptides and their assembly-states. Our analysis revealed intricate relationships between phosphorylation events and assembly-states and generated testable hypotheses for follow-up studies. Overall, we establish SEC-MX as a valuable tool for exploring protein functions and regulation beyond abundance changes.</p>","PeriodicalId":72407,"journal":{"name":"bioRxiv : the preprint server for biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f5/dd/nihpp-2023.01.12.523793v2.PMC9882152.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv : the preprint server for biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2023.01.12.523793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Protein molecular interactions and post-translational modifications (PTMs), such as phosphorylation, can be co-dependent and reciprocally co-regulate each other. Although this interplay is central for many biological processes, a systematic method to simultaneously study assembly-states and PTMs from the same sample is critically missing. Here, we introduce SEC-MX (Size Exclusion Chromatography fractions MultipleXed), a global quantitative method combining Size Exclusion Chromatography and PTM-enrichment for simultaneous characterization of PTMs and assembly-states. SEC-MX enhances throughput, allows phosphopeptide enrichment, and facilitates quantitative differential comparisons between biological conditions. Applying SEC-MX to HEK293 and HCT116 cells, we generated a proof-of-concept dataset mapping thousands of phosphopeptides and their assembly-states. Our analysis revealed intricate relationships between phosphorylation events and assembly-states and generated testable hypotheses for follow-up studies. Overall, we establish SEC-MX as a valuable tool for exploring protein functions and regulation beyond abundance changes.

Abstract Image

Abstract Image

Abstract Image

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
SEC-TMT促进蛋白质相互作用网络的定量差异分析。
大多数细胞蛋白质与至少一个伴侣相互作用或组装成分子复合物以发挥其功能。蛋白质-蛋白质相互作用(PPIs)的网络和大分子机器的组成因细胞类型和生理条件而异。因此,表征PPI网络及其动态变化对于发现新的生物功能和细胞过程的潜在机制至关重要。然而,从给定样本中生成PPI的深入、全局快照需要测量数万次LC-MS/MS运行。因此,尽管最近的工作通过深入绘制PPI做出了开创性的贡献,但几乎所有的工作都只关注1-2个条件,产生了全面但大多是静态的PPI网络。在这项研究中,我们报道了SEC-TMT的发展,这是一种能够从每个生物样品仅4-8次LC-MS/MS运行中以定量方式识别和测量PPI的方法。这是通过将串联质量标签(TMT)多路复用与尺寸排阻色谱质谱(SEC-MS)工作流程结合来实现的。SEC-TMT将测量时间减少了一个数量级,同时保持了数千个细胞相互作用的分辨率和覆盖范围,相当于该领域的金标准。我们表明,SEC-TMT为进行差分分析以测量不同条件下PPI网络的变化提供了好处。这一发展使大规模研究动态系统变得可行,并有可能更快地发现PPI对细胞过程的影响。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Increasing adult-born neurons protects mice from epilepsy. Activity of FoxP2-positive neurons is associated with tadpole begging behavior. Preventing evolutionary rescue in cancer. Fixational Eye Movements Enhance the Precision of Visual Information Transmitted by the Primate Retina. The Evolution of Heteroresistance via Small Colony Variants in Escherichia coli Following Long Term Exposure to Bacteriostatic Antibiotics.
×
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