• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基因组足迹分析揭示了大肠杆菌中全局转录因子对氨基酸的反应。

Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli.

作者信息

Trouillon Julian, Doubleday Peter F, Sauer Uwe

机构信息

Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland.

Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland.

出版信息

Cell Syst. 2023 Oct 18;14(10):860-871.e4. doi: 10.1016/j.cels.2023.09.003. Epub 2023 Oct 10.

DOI:10.1016/j.cels.2023.09.003
PMID:37820729
Abstract

Our knowledge of transcriptional responses to changes in nutrient availability comes primarily from few well-studied transcription factors (TFs), often lacking an unbiased genome-wide perspective. Leveraging recent advances allowing bacterial genomic footprinting, we comprehensively mapped the genome-wide regulatory responses of Escherichia coli to exogenous leucine, methionine, alanine, and lysine. The global TF Lrp was found to individually sense three amino acids and mount three different target gene responses. Overall, 531 genes had altered RNA polymerase occupancy, and 32 TFs responded directly or indirectly to the presence of amino acids, including regulators of membrane and osmotic pressure homeostasis. About 70% of the detected TF-DNA interactions had not been reported before. We thus identified 682 previously unknown TF-binding locations, for a subset of which the involved TFs were identified by affinity purification. This comprehensive map of amino acid regulation illustrates the incompleteness of the known transcriptional regulation network, even in E. coli.

摘要

我们对营养物质可利用性变化的转录反应的了解主要来自少数经过充分研究的转录因子(TFs),这些研究往往缺乏无偏差的全基因组视角。利用最近在细菌基因组足迹分析方面取得的进展,我们全面绘制了大肠杆菌对外源亮氨酸、蛋氨酸、丙氨酸和赖氨酸的全基因组调控反应图谱。发现全局转录因子Lrp能分别感知三种氨基酸,并引发三种不同的靶基因反应。总体而言,531个基因的RNA聚合酶占有率发生了变化,32个转录因子直接或间接对氨基酸的存在做出反应,包括膜和渗透压稳态的调节因子。约70%检测到的转录因子 - DNA相互作用此前未被报道过。因此,我们确定了682个以前未知的转录因子结合位点,其中一部分所涉及的转录因子通过亲和纯化得以鉴定。这一全面的氨基酸调控图谱说明了已知转录调控网络的不完整性,即使在大肠杆菌中也是如此。

相似文献

1
Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli.基因组足迹分析揭示了大肠杆菌中全局转录因子对氨基酸的反应。
Cell Syst. 2023 Oct 18;14(10):860-871.e4. doi: 10.1016/j.cels.2023.09.003. Epub 2023 Oct 10.
2
Transcription profile of Escherichia coli: genomic SELEX search for regulatory targets of transcription factors.大肠杆菌的转录谱:用于转录因子调控靶点的基因组SELEX筛选
Nucleic Acids Res. 2016 Mar 18;44(5):2058-74. doi: 10.1093/nar/gkw051. Epub 2016 Feb 3.
3
Deciphering the transcriptional regulatory logic of amino acid metabolism.解析氨基酸代谢的转录调控逻辑。
Nat Chem Biol. 2011 Nov 13;8(1):65-71. doi: 10.1038/nchembio.710.
4
Inferring functional transcription factor-gene binding pairs by integrating transcription factor binding data with transcription factor knockout data.通过整合转录因子结合数据与转录因子敲除数据推断功能性转录因子-基因结合对。
BMC Syst Biol. 2013;7 Suppl 6(Suppl 6):S13. doi: 10.1186/1752-0509-7-S6-S13. Epub 2013 Dec 13.
5
Genomic SELEX Screening of Regulatory Targets of Escherichia coli Transcription Factors.大肠杆菌转录因子调控靶点的基因组SELEX筛选
Methods Mol Biol. 2018;1837:49-69. doi: 10.1007/978-1-4939-8675-0_4.
6
Intracellular concentrations of 65 species of transcription factors with known regulatory functions in Escherichia coli.大肠杆菌中 65 种具有已知调节功能的转录因子的细胞内浓度。
J Bacteriol. 2014 Aug;196(15):2718-27. doi: 10.1128/JB.01579-14. Epub 2014 May 16.
7
Comparative genomic reconstruction of transcriptional networks controlling central metabolism in the Shewanella genus.比较基因组重建控制希瓦氏菌属中心代谢的转录网络。
BMC Genomics. 2011 Jun 15;12 Suppl 1(Suppl 1):S3. doi: 10.1186/1471-2164-12-S1-S3.
8
Widespread Strain-Specific Distinctions in Chromosomal Binding Dynamics of a Highly Conserved Escherichia coli Transcription Factor.广泛存在于高度保守的大肠杆菌转录因子的染色体结合动力学中的菌株特异性差异。
mBio. 2020 Jun 23;11(3):e01058-20. doi: 10.1128/mBio.01058-20.
9
Genome-scale reconstruction of the Lrp regulatory network in Escherichia coli.大肠杆菌中Lrp调控网络的全基因组规模重建
Proc Natl Acad Sci U S A. 2008 Dec 9;105(49):19462-7. doi: 10.1073/pnas.0807227105. Epub 2008 Dec 3.
10
Genome-Wide Analysis of ResD, NsrR, and Fur Binding in Bacillus subtilis during Anaerobic Fermentative Growth by Footprinting.通过足迹法对枯草芽孢杆菌厌氧发酵生长过程中ResD、NsrR和Fur结合进行全基因组分析。
J Bacteriol. 2017 Jun 13;199(13). doi: 10.1128/JB.00086-17. Print 2017 Jul 1.

引用本文的文献

1
Predicting input signals of transcription factors in Escherichia coli.预测大肠杆菌中转录因子的输入信号。
Mol Syst Biol. 2025 Jul 16. doi: 10.1038/s44320-025-00132-2.
2
The Environment-Dependent Regulatory Landscape of the Genome.基因组的环境依赖性调控格局
ArXiv. 2025 May 13:arXiv:2505.08764v1.
3
The Environment-Dependent Regulatory Landscape of the Genome.基因组的环境依赖性调控格局
bioRxiv. 2025 May 15:2025.05.13.653802. doi: 10.1101/2025.05.13.653802.
4
Predictive biophysical neural network modeling of a compendium of in vivo transcription factor DNA binding profiles for Escherichia coli.大肠杆菌体内转录因子DNA结合谱汇编的预测性生物物理神经网络建模
Nat Commun. 2025 May 7;16(1):4255. doi: 10.1038/s41467-025-58862-8.
5
Low leucine levels in the blood enhance the pathogenicity of neonatal meningitis-causing Escherichia coli.血液中低亮氨酸水平会增强导致新生儿脑膜炎的大肠杆菌的致病性。
Nat Commun. 2025 Mar 12;16(1):2466. doi: 10.1038/s41467-025-57850-2.
6
Deciphering regulatory architectures of bacterial promoters from synthetic expression patterns.从合成表达模式解析细菌启动子的调控结构
PLoS Comput Biol. 2024 Dec 26;20(12):e1012697. doi: 10.1371/journal.pcbi.1012697. eCollection 2024 Dec.
7
Predictive Biophysical Neural Network Modeling of a Compendium of Transcription Factor DNA Binding Profiles for .用于……的转录因子DNA结合谱汇编的预测性生物物理神经网络建模
bioRxiv. 2024 May 24:2024.05.23.594371. doi: 10.1101/2024.05.23.594371.
8
Deciphering regulatory architectures from synthetic single-cell expression patterns.从合成单细胞表达模式中解析调控结构。
bioRxiv. 2024 Jun 5:2024.01.28.577658. doi: 10.1101/2024.01.28.577658.
9
Deciphering regulatory architectures from synthetic single-cell expression patterns.从合成单细胞表达模式中解析调控架构。
ArXiv. 2024 Jun 5:arXiv:2401.15880v2.