• 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

酿酒酵母代谢网络中的转录调控原理。

Principles of transcriptional control in the metabolic network of Saccharomyces cerevisiae.

作者信息

Ihmels Jan, Levy Ronen, Barkai Naama

机构信息

Department of Molecular Genetics, Weizmann Institute of Science, 76100 Rehovot, Israel.

出版信息

Nat Biotechnol. 2004 Jan;22(1):86-92. doi: 10.1038/nbt918. Epub 2003 Nov 30.

DOI:10.1038/nbt918
PMID:14647306
Abstract

Cellular networks are subject to extensive regulation, which modifies the availability and efficiency of connections between components in response to external conditions. Thus far, studies of large-scale networks have focused on their connectivity, but have not considered how the modulation of this connectivity might also determine network properties. To address this issue, we analyzed how the coordinated expression of enzymes shapes the metabolic network of Saccharomyces cerevisiae. By integrating large-scale expression data with the structural description of the metabolic network, we systematically characterized the transcriptional regulation of metabolic pathways. The analysis revealed recurrent patterns, which may represent design principles of metabolic gene regulation. First, we find that transcription regulation biases metabolic flow toward linearity by coexpressing only distinct branches at metabolic branchpoints. Second, individual isozymes were often separately coregulated with distinct processes, providing a means of reducing crosstalk between pathways using a common reaction. Finally, transcriptional regulation defined a hierarchical organization of metabolic pathways into groups of varying expression coherence. These results emphasize the utility of incorporating regulatory information when analyzing properties of large-scale cellular networks.

摘要

细胞网络受到广泛调控,这种调控会根据外部条件改变组件之间连接的可用性和效率。到目前为止,对大规模网络的研究主要集中在其连通性上,但尚未考虑这种连通性的调节如何也可能决定网络特性。为了解决这个问题,我们分析了酶的协同表达如何塑造酿酒酵母的代谢网络。通过将大规模表达数据与代谢网络的结构描述相结合,我们系统地表征了代谢途径的转录调控。分析揭示了反复出现的模式,这可能代表了代谢基因调控的设计原则。首先,我们发现转录调控通过仅在代谢分支点共表达不同的分支,使代谢流偏向线性。其次,单个同工酶通常与不同的过程分别进行共调控,这提供了一种减少使用共同反应的途径之间串扰的方法。最后,转录调控将代谢途径定义为具有不同表达一致性的组的层次组织。这些结果强调了在分析大规模细胞网络特性时纳入调控信息的实用性。

相似文献

1
Principles of transcriptional control in the metabolic network of Saccharomyces cerevisiae.酿酒酵母代谢网络中的转录调控原理。
Nat Biotechnol. 2004 Jan;22(1):86-92. doi: 10.1038/nbt918. Epub 2003 Nov 30.
2
Biological network mapping and source signal deduction.生物网络映射与源信号推导。
Bioinformatics. 2007 Jul 15;23(14):1783-91. doi: 10.1093/bioinformatics/btm246. Epub 2007 May 11.
3
The regulatory software of cellular metabolism.细胞代谢的调控软件。
Trends Biotechnol. 2004 Jun;22(6):261-5. doi: 10.1016/j.tibtech.2004.04.013.
4
Effect of carbon source perturbations on transcriptional regulation of metabolic fluxes in Saccharomyces cerevisiae.碳源扰动对酿酒酵母代谢通量转录调控的影响。
BMC Syst Biol. 2007 Mar 27;1:18. doi: 10.1186/1752-0509-1-18.
5
Transcriptional networks: reverse-engineering gene regulation on a global scale.转录网络:在全球范围内反向工程基因调控
Curr Opin Microbiol. 2004 Dec;7(6):638-46. doi: 10.1016/j.mib.2004.10.009.
6
Topological and causal structure of the yeast transcriptional regulatory network.酵母转录调控网络的拓扑结构与因果结构
Nat Genet. 2002 May;31(1):60-3. doi: 10.1038/ng873. Epub 2002 Apr 22.
7
Supervised enzyme network inference from the integration of genomic data and chemical information.基于基因组数据与化学信息整合的监督式酶网络推断
Bioinformatics. 2005 Jun;21 Suppl 1:i468-77. doi: 10.1093/bioinformatics/bti1012.
8
Revealing modular organization in the yeast transcriptional network.揭示酵母转录网络中的模块化组织。
Nat Genet. 2002 Aug;31(4):370-7. doi: 10.1038/ng941. Epub 2002 Jul 22.
9
Study of coordinative gene expression at the biological process level.生物过程水平上的协同基因表达研究。
Bioinformatics. 2005 Sep 15;21(18):3651-7. doi: 10.1093/bioinformatics/bti599. Epub 2005 Aug 2.
10
Computational architecture of the yeast regulatory network.酵母调控网络的计算架构
Phys Biol. 2005 Nov 9;2(4):S94-100. doi: 10.1088/1478-3975/2/4/S03.

引用本文的文献

1
Evaluating E. coli genome-scale metabolic model accuracy with high-throughput mutant fitness data.利用高通量突变体拟合数据评估大肠杆菌基因组尺度代谢模型的准确性。
Mol Syst Biol. 2023 Dec 6;19(12):e11566. doi: 10.15252/msb.202311566. Epub 2023 Oct 27.
2
TGPred: efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning and optimization.TGPred:通过整合统计学、机器学习和优化技术来预测转录因子靶基因的有效方法。
NAR Genom Bioinform. 2023 Sep 13;5(3):lqad083. doi: 10.1093/nargab/lqad083. eCollection 2023 Sep.
3
Systems-level transcriptional regulation of Caenorhabditis elegans metabolism.
秀丽隐杆线虫代谢的系统水平转录调控。
Mol Syst Biol. 2023 May 9;19(5):e11443. doi: 10.15252/msb.202211443. Epub 2023 Mar 21.
4
Transformation to ischaemia tolerance of frog brain function corresponds to dynamic changes in mRNA co-expression across metabolic pathways.蛙脑功能向缺血耐受性的转变与代谢途径中mRNA共表达的动态变化相对应。
Proc Biol Sci. 2022 Jul 27;289(1979):20221131. doi: 10.1098/rspb.2022.1131.
5
Degron masking outlines degronons, co-degrading functional modules in the proteome.泛素化靶向肽掩盖去泛素化靶向肽,共同降解蛋白质组中的功能模块。
Commun Biol. 2022 May 11;5(1):445. doi: 10.1038/s42003-022-03391-z.
6
A genome-scale TF-DNA interaction network of transcriptional regulation of Arabidopsis primary and specialized metabolism.拟南芥初生代谢和特化代谢的转录调控的全基因组尺度 TF-DNA 相互作用网络。
Mol Syst Biol. 2021 Nov;17(11):e10625. doi: 10.15252/msb.202110625.
7
Quorum Sensing-Mediated and Growth Phase-Dependent Regulation of Metabolic Pathways in H4.群体感应介导的以及H4中代谢途径的生长阶段依赖性调控
Front Microbiol. 2021 Mar 2;12:567942. doi: 10.3389/fmicb.2021.567942. eCollection 2021.
8
Addressing uncertainty in genome-scale metabolic model reconstruction and analysis.解决基因组规模代谢模型重建与分析中的不确定性问题。
Genome Biol. 2021 Feb 18;22(1):64. doi: 10.1186/s13059-021-02289-z.
9
Seeing the forest for the trees: Retrieving plant secondary biochemical pathways from metabolome networks.见树又见林:从代谢组网络中检索植物次生生化途径。
Comput Struct Biotechnol J. 2020 Dec 3;19:72-85. doi: 10.1016/j.csbj.2020.11.050. eCollection 2021.
10
The power and limitations of gene expression pathway analyses toward predicting population response to environmental stressors.基因表达通路分析在预测群体对环境应激源反应方面的作用与局限性。
Evol Appl. 2020 Mar 3;13(6):1166-1182. doi: 10.1111/eva.12935. eCollection 2020 Jul.