CG-SLENP: A Chemical Genetics Strategy To Selectively Label Existing Proteins and Newly Synthesized Proteins

JACS Au Pub Date : 2024-07-25 DOI:10.1021/jacsau.4c00461
Jian Wang, Bo Chao, Jake Piesner, Felice Kelly, Stefanie Kaech Petrie, Xiangshu Xiao, Bingbing X. Li
{"title":"CG-SLENP: A Chemical Genetics Strategy To Selectively Label Existing Proteins and Newly Synthesized Proteins","authors":"Jian Wang, Bo Chao, Jake Piesner, Felice Kelly, Stefanie Kaech Petrie, Xiangshu Xiao, Bingbing X. Li","doi":"10.1021/jacsau.4c00461","DOIUrl":null,"url":null,"abstract":"Protein synthesis and subsequent delivery to the target locations in cells are essential for their proper functions. Methods to label and distinguish newly synthesized proteins from existing ones are critical to assess their differential properties, but such methods are lacking. We describe the first <u>c</u>hemical <u>g</u>enetics-based approach for <u>s</u>elective <u>l</u>abeling of <u>e</u>xisting and <u>n</u>ewly synthesized <u>p</u>roteins that we termed as <sub>CG</sub>-SLENP. Using HaloTag in-frame fusion with lamin A (LA), we demonstrate that the two pools of proteins can be selectively labeled using <sub>CG</sub>-SLENP in living cells. We further employ our recently developed selective small molecule ligand <b>LBL1</b> for LA to probe the potential differences between newly synthesized and existing LA. Our results show that <b>LBL1</b> can differentially modulate these two pools of LA. These results indicate that the assembly states of newly synthesized LA are distinct from existing LA in living cells. The <sub>CG</sub>-SLENP method is potentially generalizable to study any cellular proteins.","PeriodicalId":14799,"journal":{"name":"JACS Au","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JACS Au","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1021/jacsau.4c00461","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 synthesis and subsequent delivery to the target locations in cells are essential for their proper functions. Methods to label and distinguish newly synthesized proteins from existing ones are critical to assess their differential properties, but such methods are lacking. We describe the first chemical genetics-based approach for selective labeling of existing and newly synthesized proteins that we termed as CG-SLENP. Using HaloTag in-frame fusion with lamin A (LA), we demonstrate that the two pools of proteins can be selectively labeled using CG-SLENP in living cells. We further employ our recently developed selective small molecule ligand LBL1 for LA to probe the potential differences between newly synthesized and existing LA. Our results show that LBL1 can differentially modulate these two pools of LA. These results indicate that the assembly states of newly synthesized LA are distinct from existing LA in living cells. The CG-SLENP method is potentially generalizable to study any cellular proteins.

Abstract Image

CG-SLENP:选择性标记现有蛋白质和新合成蛋白质的化学遗传学策略
蛋白质的合成以及随后输送到细胞中的目标位置对其正常功能至关重要。标记和区分新合成蛋白质与现有蛋白质的方法对于评估它们的不同特性至关重要,但目前还缺乏这种方法。我们描述了第一种基于化学遗传学的选择性标记现有蛋白质和新合成蛋白质的方法,我们称之为 CG-SLENP。利用 HaloTag 与层粘连蛋白 A(LA)的框架内融合,我们证明可以在活细胞中使用 CG-SLENP 选择性地标记这两种蛋白池。我们进一步利用最近开发的 LA 选择性小分子配体 LBL1 来探究新合成的 LA 与现有 LA 之间的潜在差异。我们的结果表明,LBL1 可以对这两种 LA 池进行不同程度的调节。这些结果表明,在活细胞中,新合成的 LA 与现有 LA 的组装状态是不同的。CG-SLENP 方法可用于研究任何细胞蛋白质。
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
自引率
0.00%
发文量
0
×
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