Pooled endogenous protein tagging and recruitment for systematic profiling of protein function.

IF 11.1 Q1 CELL BIOLOGY Cell genomics Pub Date : 2024-10-09 Epub Date: 2024-09-09 DOI:10.1016/j.xgen.2024.100651
Yevgeniy V Serebrenik, Deepak Mani, Timothé Maujean, George M Burslem, Ophir Shalem
{"title":"Pooled endogenous protein tagging and recruitment for systematic profiling of protein function.","authors":"Yevgeniy V Serebrenik, Deepak Mani, Timothé Maujean, George M Burslem, Ophir Shalem","doi":"10.1016/j.xgen.2024.100651","DOIUrl":null,"url":null,"abstract":"<p><p>The emerging field of induced proximity therapeutics, which involves designing molecules to bring together an effector and target protein-typically to induce target degradation-is rapidly advancing. However, its progress is constrained by the lack of scalable and unbiased tools to explore effector-target protein interactions. We combine pooled endogenous gene tagging using a ligand-binding domain with generic small-molecule-based recruitment to screen for induction of protein proximity. We apply this methodology to identify effectors for degradation in two orthogonal screens: using fluorescence to monitor target levels and a cellular growth that depends on the degradation of an essential protein. Our screens revealed new effector proteins for degradation, including previously established examples, and converged on members of the C-terminal-to-LisH (CTLH) complex. We introduce a platform for pooled induction of endogenous protein-protein interactions to expand our toolset of effector proteins for protein degradation and other forms of induced proximity.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100651"},"PeriodicalIF":11.1000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11602618/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xgen.2024.100651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The emerging field of induced proximity therapeutics, which involves designing molecules to bring together an effector and target protein-typically to induce target degradation-is rapidly advancing. However, its progress is constrained by the lack of scalable and unbiased tools to explore effector-target protein interactions. We combine pooled endogenous gene tagging using a ligand-binding domain with generic small-molecule-based recruitment to screen for induction of protein proximity. We apply this methodology to identify effectors for degradation in two orthogonal screens: using fluorescence to monitor target levels and a cellular growth that depends on the degradation of an essential protein. Our screens revealed new effector proteins for degradation, including previously established examples, and converged on members of the C-terminal-to-LisH (CTLH) complex. We introduce a platform for pooled induction of endogenous protein-protein interactions to expand our toolset of effector proteins for protein degradation and other forms of induced proximity.

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
汇集内源蛋白质标记和招募,系统分析蛋白质功能。
新兴的诱导接近治疗领域正在迅速发展,该领域涉及设计分子将效应蛋白和靶蛋白结合在一起--通常是诱导靶蛋白降解。然而,由于缺乏可扩展且无偏见的工具来探索效应物与靶蛋白之间的相互作用,其进展受到了限制。我们将使用配体结合域的集合内源基因标记与基于通用小分子的招募相结合,筛选出诱导蛋白质接近的效应物。我们应用这种方法在两个正交筛选中识别降解效应蛋白:使用荧光监测目标水平和依赖于必需蛋白降解的细胞生长。我们的筛选揭示了新的降解效应蛋白,包括以前建立的例子,并最终确定了 C-terminal-to-LisH (CTLH) 复合物的成员。我们引入了一个集合诱导内源蛋白质-蛋白质相互作用的平台,以扩展我们的蛋白质降解效应蛋白工具集和其他形式的诱导接近。
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
CiteScore
7.10
自引率
0.00%
发文量
0
期刊最新文献
A multiplex, prime editing framework for identifying drug resistance variants at scale. Hi-C for genome-wide detection of enhancer-hijacking rearrangements in routine lymphoid cancer biopsies. Joint modeling of whole-genome sequencing data for human height via approximate message passing. Comparative genomics reveals LINE-1 recombination with diverse RNAs. Leveraging protein language models to identify complex trait associations with previously inaccessible classes of functional rare variants.
×
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:604180095
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