Analyzing paramagnetic NMR data on target DNA search by proteins using a discrete-state kinetic model for translocation

IF 3.2 4区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Biopolymers Pub Date : 2023-05-31 DOI:10.1002/bip.23553
Binhan Yu, Junji Iwahara
{"title":"Analyzing paramagnetic NMR data on target DNA search by proteins using a discrete-state kinetic model for translocation","authors":"Binhan Yu,&nbsp;Junji Iwahara","doi":"10.1002/bip.23553","DOIUrl":null,"url":null,"abstract":"<p>Before reaching their targets, sequence-specific DNA-binding proteins nonspecifically bind to DNA through electrostatic interactions and stochastically change their locations on DNA. Investigations into the dynamics of DNA-scanning by proteins are nontrivial due to the simultaneous presence of multiple translocation mechanisms and many sites for the protein to nonspecifically bind to DNA. Nuclear magnetic resonance (NMR) spectroscopy can provide information about the target DNA search processes at an atomic level. Paramagnetic relaxation enhancement (PRE) is particularly useful to study how the proteins scan DNA in the search process. Previously, relatively simple two-state or three-state exchange models were used to explain PRE data reflecting the target search process. In this work, using more realistic discrete-state stochastic kinetics models embedded into an NMR master equation, we analyzed the PRE data for the HoxD9 homeodomain interacting with DNA. The kinetic models that incorporate sliding, dissociation, association, and intersegment transfer can reproduce the PRE profiles observed at some different ionic strengths. The analysis confirms the previous interpretation of the PRE data and shows that the protein's probability distribution among nonspecific sites is nonuniform during the target DNA search process.</p>","PeriodicalId":8866,"journal":{"name":"Biopolymers","volume":"115 2","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biopolymers","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bip.23553","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Before reaching their targets, sequence-specific DNA-binding proteins nonspecifically bind to DNA through electrostatic interactions and stochastically change their locations on DNA. Investigations into the dynamics of DNA-scanning by proteins are nontrivial due to the simultaneous presence of multiple translocation mechanisms and many sites for the protein to nonspecifically bind to DNA. Nuclear magnetic resonance (NMR) spectroscopy can provide information about the target DNA search processes at an atomic level. Paramagnetic relaxation enhancement (PRE) is particularly useful to study how the proteins scan DNA in the search process. Previously, relatively simple two-state or three-state exchange models were used to explain PRE data reflecting the target search process. In this work, using more realistic discrete-state stochastic kinetics models embedded into an NMR master equation, we analyzed the PRE data for the HoxD9 homeodomain interacting with DNA. The kinetic models that incorporate sliding, dissociation, association, and intersegment transfer can reproduce the PRE profiles observed at some different ionic strengths. The analysis confirms the previous interpretation of the PRE data and shows that the protein's probability distribution among nonspecific sites is nonuniform during the target DNA search process.

Abstract Image

Abstract Image

利用离散态易位动力学模型分析蛋白质搜索目标DNA的顺磁核磁共振数据。
在到达目标之前,序列特异性DNA结合蛋白通过静电相互作用与DNA非特异性结合,并随机改变其在DNA上的位置。由于同时存在多种易位机制和蛋白质与DNA非特异性结合的许多位点,因此对蛋白质扫描DNA动力学的研究是非简单的。核磁共振(NMR)光谱可以在原子水平上提供有关目标DNA搜索过程的信息。顺磁松弛增强(PRE)对于研究蛋白质在搜索过程中如何扫描DNA特别有用。以前,使用相对简单的两态或三态交换模型来解释反映目标搜索过程的PRE数据。在这项工作中,我们使用嵌入到核磁共振主方程中的更现实的离散状态随机动力学模型,分析了HoxD9同域与DNA相互作用的PRE数据。包含滑动、解离、缔合和段间转移的动力学模型可以再现在不同离子强度下观察到的PRE分布。该分析证实了先前对PRE数据的解释,并表明在目标DNA搜索过程中蛋白质在非特异性位点的概率分布是不均匀的。
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
Biopolymers
Biopolymers 生物-生化与分子生物学
CiteScore
5.30
自引率
0.00%
发文量
48
审稿时长
3 months
期刊介绍: Founded in 1963, Biopolymers publishes strictly peer-reviewed papers examining naturally occurring and synthetic biological macromolecules. By including experimental and theoretical studies on the fundamental behaviour as well as applications of biopolymers, the journal serves the interdisciplinary biochemical, biophysical, biomaterials and biomedical research communities.
×
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