转录激活因子和阻遏因子组合的高通量功能表征。

IF 9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Systems Pub Date : 2023-09-20 Epub Date: 2023-08-04 DOI:10.1016/j.cels.2023.07.001
Adi X Mukund, Josh Tycko, Sage J Allen, Stephanie A Robinson, Cecelia Andrews, Joydeb Sinha, Connor H Ludwig, Kaitlyn Spees, Michael C Bassik, Lacramioara Bintu
{"title":"转录激活因子和阻遏因子组合的高通量功能表征。","authors":"Adi X Mukund, Josh Tycko, Sage J Allen, Stephanie A Robinson, Cecelia Andrews, Joydeb Sinha, Connor H Ludwig, Kaitlyn Spees, Michael C Bassik, Lacramioara Bintu","doi":"10.1016/j.cels.2023.07.001","DOIUrl":null,"url":null,"abstract":"<p><p>Despite growing knowledge of the functions of individual human transcriptional effector domains, much less is understood about how multiple effector domains within the same protein combine to regulate gene expression. Here, we measure transcriptional activity for 8,400 effector domain combinations by recruiting them to reporter genes in human cells. In our assay, weak and moderate activation domains synergize to drive strong gene expression, whereas combining strong activators often results in weaker activation. In contrast, repressors combine linearly and produce full gene silencing, and repressor domains often overpower activation domains. We use this information to build a synthetic transcription factor whose function can be tuned between repression and activation independent of recruitment to target genes by using a small-molecule drug. Altogether, we outline the basic principles of how effector domains combine to regulate gene expression and demonstrate their value in building precise and flexible synthetic biology tools. A record of this paper's transparent peer review process is included in the supplemental information.</p>","PeriodicalId":54348,"journal":{"name":"Cell Systems","volume":" ","pages":"746-763.e5"},"PeriodicalIF":9.0000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642976/pdf/","citationCount":"0","resultStr":"{\"title\":\"High-throughput functional characterization of combinations of transcriptional activators and repressors.\",\"authors\":\"Adi X Mukund, Josh Tycko, Sage J Allen, Stephanie A Robinson, Cecelia Andrews, Joydeb Sinha, Connor H Ludwig, Kaitlyn Spees, Michael C Bassik, Lacramioara Bintu\",\"doi\":\"10.1016/j.cels.2023.07.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Despite growing knowledge of the functions of individual human transcriptional effector domains, much less is understood about how multiple effector domains within the same protein combine to regulate gene expression. Here, we measure transcriptional activity for 8,400 effector domain combinations by recruiting them to reporter genes in human cells. In our assay, weak and moderate activation domains synergize to drive strong gene expression, whereas combining strong activators often results in weaker activation. In contrast, repressors combine linearly and produce full gene silencing, and repressor domains often overpower activation domains. We use this information to build a synthetic transcription factor whose function can be tuned between repression and activation independent of recruitment to target genes by using a small-molecule drug. Altogether, we outline the basic principles of how effector domains combine to regulate gene expression and demonstrate their value in building precise and flexible synthetic biology tools. A record of this paper's transparent peer review process is included in the supplemental information.</p>\",\"PeriodicalId\":54348,\"journal\":{\"name\":\"Cell Systems\",\"volume\":\" \",\"pages\":\"746-763.e5\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2023-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642976/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell Systems\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cels.2023.07.001\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Systems","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cels.2023.07.001","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

尽管人们对单个人类转录效应结构域的功能越来越了解,但对同一蛋白质内多个效应结构域如何结合调节基因表达的了解却少得多。在这里,我们通过招募8400个效应结构域组合到人类细胞中的报告基因来测量它们的转录活性。在我们的分析中,弱激活结构域和中等激活结构域协同驱动强基因表达,而结合强激活剂通常导致较弱的激活。相反,阻遏物线性结合并产生完全的基因沉默,并且阻遏物结构域通常压倒激活结构域。我们利用这些信息构建了一种合成转录因子,通过使用小分子药物,其功能可以在抑制和激活之间进行调节,而不依赖于靶基因的募集。总之,我们概述了效应域如何结合调节基因表达的基本原理,并证明了它们在构建精确灵活的合成生物学工具方面的价值。本文的透明同行评审过程记录包含在补充信息中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
High-throughput functional characterization of combinations of transcriptional activators and repressors.

Despite growing knowledge of the functions of individual human transcriptional effector domains, much less is understood about how multiple effector domains within the same protein combine to regulate gene expression. Here, we measure transcriptional activity for 8,400 effector domain combinations by recruiting them to reporter genes in human cells. In our assay, weak and moderate activation domains synergize to drive strong gene expression, whereas combining strong activators often results in weaker activation. In contrast, repressors combine linearly and produce full gene silencing, and repressor domains often overpower activation domains. We use this information to build a synthetic transcription factor whose function can be tuned between repression and activation independent of recruitment to target genes by using a small-molecule drug. Altogether, we outline the basic principles of how effector domains combine to regulate gene expression and demonstrate their value in building precise and flexible synthetic biology tools. A record of this paper's transparent peer review process is included in the supplemental information.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cell Systems
Cell Systems Medicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍: In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.
期刊最新文献
pH and buffering capacity: Fundamental yet underappreciated drivers of algal-bacterial interactions What’s driving rhythmic gene expression: Sleep or the clock? Model integration of circadian- and sleep-wake-driven contributions to rhythmic gene expression reveals distinct regulatory principles On knowing a gene: A distributional hypothesis of gene function Acute response to pathogens in the early human placenta at single-cell resolution
×
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