General and robust covalently linked graphene oxide affinity grids for high-resolution cryo-EM.

IF 11.3 1区 化学 Q1 CHEMISTRY, PHYSICAL ACS Catalysis Pub Date : 2020-09-29 Epub Date: 2020-09-10 DOI:10.1073/pnas.2009707117
Feng Wang, Yanxin Liu, Zanlin Yu, Sam Li, Shengjie Feng, Yifan Cheng, David A Agard
{"title":"General and robust covalently linked graphene oxide affinity grids for high-resolution cryo-EM.","authors":"Feng Wang,&nbsp;Yanxin Liu,&nbsp;Zanlin Yu,&nbsp;Sam Li,&nbsp;Shengjie Feng,&nbsp;Yifan Cheng,&nbsp;David A Agard","doi":"10.1073/pnas.2009707117","DOIUrl":null,"url":null,"abstract":"<p><p>Affinity grids have great potential to facilitate rapid preparation of even quite impure samples in single-particle cryo-electron microscopy (EM). Yet despite the promising advances of affinity grids over the past decades, no single strategy has demonstrated general utility. Here we chemically functionalize cryo-EM grids coated with mostly one or two layers of graphene oxide to facilitate affinity capture. The protein of interest is tagged using a system that rapidly forms a highly specific covalent bond to its cognate catcher linked to the grid via a polyethylene glycol (PEG) spacer. Importantly, the spacer keeps particles away from both the air-water interface and the graphene oxide surface, protecting them from potential denaturation and rendering them sufficiently flexible to avoid preferential sample orientation concerns. Furthermore, the PEG spacer successfully reduces nonspecific binding, enabling high-resolution reconstructions from a much cruder lysate sample.</p>","PeriodicalId":9,"journal":{"name":"ACS Catalysis ","volume":" ","pages":"24269-24273"},"PeriodicalIF":11.3000,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1073/pnas.2009707117","citationCount":"61","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Catalysis ","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1073/pnas.2009707117","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/9/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 61

Abstract

Affinity grids have great potential to facilitate rapid preparation of even quite impure samples in single-particle cryo-electron microscopy (EM). Yet despite the promising advances of affinity grids over the past decades, no single strategy has demonstrated general utility. Here we chemically functionalize cryo-EM grids coated with mostly one or two layers of graphene oxide to facilitate affinity capture. The protein of interest is tagged using a system that rapidly forms a highly specific covalent bond to its cognate catcher linked to the grid via a polyethylene glycol (PEG) spacer. Importantly, the spacer keeps particles away from both the air-water interface and the graphene oxide surface, protecting them from potential denaturation and rendering them sufficiently flexible to avoid preferential sample orientation concerns. Furthermore, the PEG spacer successfully reduces nonspecific binding, enabling high-resolution reconstructions from a much cruder lysate sample.

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
通用和鲁棒共价连接的氧化石墨烯亲和网格的高分辨率低温电镜。
亲和栅格在单粒子低温电子显微镜(EM)中具有很大的潜力,可以快速制备甚至非常不纯的样品。然而,尽管亲和电网在过去几十年里取得了有希望的进展,但没有一种策略显示出普遍的实用性。在这里,我们化学功能化了涂有一层或两层氧化石墨烯的低温电镜网格,以促进亲和捕获。目标蛋白使用一种系统进行标记,该系统通过聚乙二醇(PEG)间隔物与其同源捕集器连接到网格上,快速形成高度特异性的共价键。重要的是,隔离剂使颗粒远离空气-水界面和氧化石墨烯表面,保护它们免受潜在的变性,并使它们具有足够的灵活性,以避免优先的样品取向问题。此外,聚乙二醇间隔剂成功地减少了非特异性结合,实现了从更粗糙的裂解物样品中进行高分辨率重建。
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
相关文献
Road traffic accidents and safety programme in Turkey.
IF 2.3 4区 医学International Journal of Injury Control and Safety PromotionPub Date : 2007-06-01 DOI: 10.1080/17457300701371961
A P Akgüngör
Investigation and Analysis of Road Traffic Accidents in Hefei City
IF 0 E3S Web of ConferencesPub Date : 2021-01-01 DOI: 10.1051/e3sconf/202127503065
Yan Sun, Zhihua Tang
来源期刊
ACS Catalysis
ACS Catalysis CHEMISTRY, PHYSICAL-
CiteScore
20.80
自引率
6.20%
发文量
1253
审稿时长
1.5 months
期刊介绍: ACS Catalysis is an esteemed journal that publishes original research in the fields of heterogeneous catalysis, molecular catalysis, and biocatalysis. It offers broad coverage across diverse areas such as life sciences, organometallics and synthesis, photochemistry and electrochemistry, drug discovery and synthesis, materials science, environmental protection, polymer discovery and synthesis, and energy and fuels. The scope of the journal is to showcase innovative work in various aspects of catalysis. This includes new reactions and novel synthetic approaches utilizing known catalysts, the discovery or modification of new catalysts, elucidation of catalytic mechanisms through cutting-edge investigations, practical enhancements of existing processes, as well as conceptual advances in the field. Contributions to ACS Catalysis can encompass both experimental and theoretical research focused on catalytic molecules, macromolecules, and materials that exhibit catalytic turnover.
期刊最新文献
Exploring the Increased Activity of the Blue Light-Dependent Photoenzyme Fatty Acid Photodecarboxylase under Violet Light Proximity-Dependent Oxide–Support Interactions in Cobalt/Ceria-Based Catalysts for Propane Dehydrogenation Evaluating Predictive Accuracy in Asymmetric Catalysis: A Machine Learning Perspective on Local Reaction Space Modulating Chloride Adsorption for Efficient Chloride-Mediated Methane Conversion over Tungsten Oxide Photoanode Modulating Local Proton Coverage and *OOH Generation via Coupled Multiple Sites for Enhanced Photocatalytic H2O2 Production
×
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