• 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

酿酒酵母中蛋白质-代谢物相互作用的全球图谱显示,丝氨酸-亮氨酸二肽调节磷酸甘油酸激酶活性。

Global mapping of protein-metabolite interactions in Saccharomyces cerevisiae reveals that Ser-Leu dipeptide regulates phosphoglycerate kinase activity.

作者信息

Luzarowski Marcin, Vicente Rubén, Kiselev Andrei, Wagner Mateusz, Schlossarek Dennis, Erban Alexander, de Souza Leonardo Perez, Childs Dorothee, Wojciechowska Izabela, Luzarowska Urszula, Górka Michał, Sokołowska Ewelina M, Kosmacz Monika, Moreno Juan C, Brzezińska Aleksandra, Vegesna Bhavana, Kopka Joachim, Fernie Alisdair R, Willmitzer Lothar, Ewald Jennifer C, Skirycz Aleksandra

机构信息

Department of Molecular Physiology, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany.

Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany.

出版信息

Commun Biol. 2021 Feb 10;4(1):181. doi: 10.1038/s42003-021-01684-3.

DOI:10.1038/s42003-021-01684-3
PMID:33568709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7876005/
Abstract

Protein-metabolite interactions are of crucial importance for all cellular processes but remain understudied. Here, we applied a biochemical approach named PROMIS, to address the complexity of the protein-small molecule interactome in the model yeast Saccharomyces cerevisiae. By doing so, we provide a unique dataset, which can be queried for interactions between 74 small molecules and 3982 proteins using a user-friendly interface available at https://promis.mpimp-golm.mpg.de/yeastpmi/ . By interpolating PROMIS with the list of predicted protein-metabolite interactions, we provided experimental validation for 225 binding events. Remarkably, of the 74 small molecules co-eluting with proteins, 36 were proteogenic dipeptides. Targeted analysis of a representative dipeptide, Ser-Leu, revealed numerous protein interactors comprising chaperones, proteasomal subunits, and metabolic enzymes. We could further demonstrate that Ser-Leu binding increases activity of a glycolytic enzyme phosphoglycerate kinase (Pgk1). Consistent with the binding analysis, Ser-Leu supplementation leads to the acute metabolic changes and delays timing of a diauxic shift. Supported by the dipeptide accumulation analysis our work attests to the role of Ser-Leu as a metabolic regulator at the interface of protein degradation and central metabolism.

摘要

蛋白质-代谢物相互作用对所有细胞过程都至关重要,但仍未得到充分研究。在此,我们应用了一种名为PROMIS的生化方法,以解决模式酵母酿酒酵母中蛋白质-小分子相互作用组的复杂性问题。通过这样做,我们提供了一个独特的数据集,可使用https://promis.mpimp-golm.mpg.de/yeastpmi/上提供的用户友好界面查询74种小分子与3982种蛋白质之间的相互作用。通过将PROMIS与预测的蛋白质-代谢物相互作用列表进行比对,我们为225个结合事件提供了实验验证。值得注意的是,在与蛋白质共洗脱的74种小分子中,有36种是蛋白原性二肽。对代表性二肽Ser-Leu的靶向分析揭示了众多蛋白质相互作用分子,包括伴侣蛋白、蛋白酶体亚基和代谢酶。我们还能进一步证明,Ser-Leu的结合会增加糖酵解酶磷酸甘油酸激酶(Pgk1)的活性。与结合分析一致,补充Ser-Leu会导致急性代谢变化,并延迟二次生长转换的时间。在二肽积累分析的支持下,我们的工作证明了Ser-Leu作为蛋白质降解和中心代谢界面处的代谢调节剂的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/a622ddefca4d/42003_2021_1684_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/f377d3b7bfaf/42003_2021_1684_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/4ea0bf683f20/42003_2021_1684_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/bb09d1e3f75d/42003_2021_1684_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/0b49f8d430bd/42003_2021_1684_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/ca2af9405b25/42003_2021_1684_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/08e9180da0cd/42003_2021_1684_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/356b82953408/42003_2021_1684_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/a622ddefca4d/42003_2021_1684_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/f377d3b7bfaf/42003_2021_1684_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/4ea0bf683f20/42003_2021_1684_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/bb09d1e3f75d/42003_2021_1684_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/0b49f8d430bd/42003_2021_1684_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/ca2af9405b25/42003_2021_1684_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/08e9180da0cd/42003_2021_1684_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/356b82953408/42003_2021_1684_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/7876005/a622ddefca4d/42003_2021_1684_Fig8_HTML.jpg

相似文献

1
Global mapping of protein-metabolite interactions in Saccharomyces cerevisiae reveals that Ser-Leu dipeptide regulates phosphoglycerate kinase activity.酿酒酵母中蛋白质-代谢物相互作用的全球图谱显示,丝氨酸-亮氨酸二肽调节磷酸甘油酸激酶活性。
Commun Biol. 2021 Feb 10;4(1):181. doi: 10.1038/s42003-021-01684-3.
2
PGK1, the gene encoding the glycolitic enzyme phosphoglycerate kinase, acts as a multicopy suppressor of apoptotic phenotypes in S. cerevisiae.PGK1基因编码糖酵解酶磷酸甘油酸激酶,它在酿酒酵母中作为凋亡表型的多拷贝抑制因子发挥作用。
Yeast. 2009 Jan;26(1):31-7. doi: 10.1002/yea.1647.
3
PROMIS, global analysis of PROtein-metabolite interactions using size separation in .利用尺寸分离进行蛋白质-代谢物相互作用的全球分析(PROMIS)。
J Biol Chem. 2018 Aug 10;293(32):12440-12453. doi: 10.1074/jbc.RA118.003351. Epub 2018 May 31.
4
Human acylphosphatase cannot replace phosphoglycerate kinase in Saccharomyces cerevisiae.人酰基磷酸酶不能替代酿酒酵母中的磷酸甘油酸激酶。
Antonie Van Leeuwenhoek. 2001 Oct;80(1):11-7. doi: 10.1023/a:1012082312137.
5
Saccharomyces cerevisiae Cytosolic Thioredoxins Control Glycolysis, Lipid Metabolism, and Protein Biosynthesis under Wine-Making Conditions.酿酒条件下酿酒酵母胞质硫氧还蛋白控制糖酵解、脂类代谢和蛋白质生物合成。
Appl Environ Microbiol. 2019 Mar 22;85(7). doi: 10.1128/AEM.02953-18. Print 2019 Apr 1.
6
Differential proteome-metabolome profiling of YCA1-knock-out and wild type cells reveals novel metabolic pathways and cellular processes dependent on the yeast metacaspase.YCA1基因敲除细胞和野生型细胞的蛋白质组-代谢组差异分析揭示了依赖酵母metacaspase的新代谢途径和细胞过程。
Mol Biosyst. 2015 Jun;11(6):1573-83. doi: 10.1039/c4mb00660g.
7
Investigating interdomain region mutants Phe194----Leu and Phe194----Trp of yeast phosphoglycerate kinase by 1H-NMR spectroscopy.通过1H-NMR光谱法研究酵母磷酸甘油酸激酶的结构域间区域突变体Phe194----Leu和Phe194----Trp。
Eur J Biochem. 1992 Apr 1;205(1):93-104. doi: 10.1111/j.1432-1033.1992.tb16755.x.
8
PGK1 Promoter Library for the Regulation of Acetate Ester Production in Saccharomyces cerevisiae during Chinese Baijiu Fermentation.PGK1 启动子文库调控中国白酒发酵过程中酿酒酵母乙酸酯生产
J Agric Food Chem. 2018 Jul 18;66(28):7417-7427. doi: 10.1021/acs.jafc.8b02114. Epub 2018 Jul 6.
9
Ser3p (Yer081wp) and Ser33p (Yil074cp) are phosphoglycerate dehydrogenases in Saccharomyces cerevisiae.Ser3p(Yer081wp)和Ser33p(Yil074cp)是酿酒酵母中的磷酸甘油酸脱氢酶。
J Biol Chem. 2003 Mar 21;278(12):10264-72. doi: 10.1074/jbc.M211692200. Epub 2003 Jan 13.
10
Perturbation of phosphoglycerate kinase 1 (PGK1) only marginally affects glycolysis in cancer cells.磷酸甘油酸激酶 1(PGK1)的干扰仅轻微影响癌细胞中的糖酵解。
J Biol Chem. 2020 May 8;295(19):6425-6446. doi: 10.1074/jbc.RA119.012312. Epub 2020 Mar 26.

引用本文的文献

1
Mapping protein-metabolite interactions in . by integrating chromatographic techniques and co-fractionation mass spectrometry.通过整合色谱技术和共分离质谱法绘制[具体生物体系]中的蛋白质-代谢物相互作用图谱。 (原文中“in.”后面缺少具体内容)
iScience. 2025 May 8;28(6):112611. doi: 10.1016/j.isci.2025.112611. eCollection 2025 Jun 20.
2
Recent Advances in Mass Spectrometry-Based Protein Interactome Studies.基于质谱的蛋白质相互作用组研究的最新进展
Mol Cell Proteomics. 2025 Jan;24(1):100887. doi: 10.1016/j.mcpro.2024.100887. Epub 2024 Nov 27.
3
Challenges in the Metabolomics-Based Biomarker Validation Pipeline.

本文引用的文献

1
O-GlcNAcylation of PGK1 coordinates glycolysis and TCA cycle to promote tumor growth.PGK1 的 O-GlcNAcylation 协调糖酵解和 TCA 循环以促进肿瘤生长。
Nat Commun. 2020 Jan 7;11(1):36. doi: 10.1038/s41467-019-13601-8.
2
PROMIS: Global Analysis of PROtein-Metabolite Interactions.PROMIS:蛋白质-代谢物相互作用的全球分析
Curr Protoc Plant Biol. 2019 Dec;4(4):e20101. doi: 10.1002/cppb.20101.
3
Nonparametric Analysis of Thermal Proteome Profiles Reveals Novel Drug-binding Proteins.非参数热蛋白质组谱分析揭示新型药物结合蛋白。
基于代谢组学的生物标志物验证流程中的挑战。
Metabolites. 2024 Apr 3;14(4):200. doi: 10.3390/metabo14040200.
4
A century of studying plant secondary metabolism-From "what?" to "where, how, and why?".一个世纪以来对植物次生代谢的研究——从“什么?”到“在哪里、如何、为什么?”。
Plant Physiol. 2024 Apr 30;195(1):48-66. doi: 10.1093/plphys/kiad596.
5
Decode protein-metabolite regulatory network: one MIDAS at a time.解码蛋白质-代谢物调控网络:一次一个MIDAS。
Signal Transduct Target Ther. 2023 Aug 23;8(1):318. doi: 10.1038/s41392-023-01566-6.
6
Prediction of metabolite-protein interactions based on integration of machine learning and constraint-based modeling.基于机器学习与基于约束的建模整合的代谢物-蛋白质相互作用预测
Bioinform Adv. 2023 Jul 17;3(1):vbad098. doi: 10.1093/bioadv/vbad098. eCollection 2023.
7
MPI-VGAE: protein-metabolite enzymatic reaction link learning by variational graph autoencoders.MPI-VGAE:基于变分图自动编码器的蛋白质-代谢物酶反应连接学习。
Brief Bioinform. 2023 Jul 20;24(4). doi: 10.1093/bib/bbad189.
8
Network medicine: an approach to complex kidney disease phenotypes.网络医学:一种复杂肾脏疾病表型的研究方法。
Nat Rev Nephrol. 2023 Jul;19(7):463-475. doi: 10.1038/s41581-023-00705-0. Epub 2023 Apr 11.
9
The Knowns and Unknowns in Protein-Metabolite Interactions.蛋白质-代谢物相互作用的已知和未知。
Int J Mol Sci. 2023 Feb 19;24(4):4155. doi: 10.3390/ijms24044155.
10
Rewiring of the protein-protein-metabolite interactome during the diauxic shift in yeast.在酵母的双相转变过程中,蛋白质-蛋白质-代谢物相互作用网络的重布线。
Cell Mol Life Sci. 2022 Oct 15;79(11):550. doi: 10.1007/s00018-022-04569-8.
Mol Cell Proteomics. 2019 Dec;18(12):2506-2515. doi: 10.1074/mcp.TIR119.001481. Epub 2019 Oct 3.
4
Systematic mapping of protein-metabolite interactions in central metabolism of Escherichia coli.系统绘制大肠杆菌中心代谢物蛋白质-代谢物相互作用图谱。
Mol Syst Biol. 2019 Aug;15(8):e9008. doi: 10.15252/msb.20199008.
5
The PRIDE database and related tools and resources in 2019: improving support for quantification data.PRIDE 数据库及相关工具和资源在 2019 年的进展:提高定量数据支持。
Nucleic Acids Res. 2019 Jan 8;47(D1):D442-D450. doi: 10.1093/nar/gky1106.
6
Autophagy-dependent ribosomal RNA degradation is essential for maintaining nucleotide homeostasis during development.自噬依赖性核糖体 RNA 降解对于发育过程中维持核苷酸动态平衡至关重要。
Elife. 2018 Aug 13;7:e36588. doi: 10.7554/eLife.36588.
7
Macrophage-Associated PGK1 Phosphorylation Promotes Aerobic Glycolysis and Tumorigenesis.巨噬细胞相关 PGK1 磷酸化促进有氧糖酵解和肿瘤发生。
Mol Cell. 2018 Jul 19;71(2):201-215.e7. doi: 10.1016/j.molcel.2018.06.023.
8
PROMIS, global analysis of PROtein-metabolite interactions using size separation in .利用尺寸分离进行蛋白质-代谢物相互作用的全球分析(PROMIS)。
J Biol Chem. 2018 Aug 10;293(32):12440-12453. doi: 10.1074/jbc.RA118.003351. Epub 2018 May 31.
9
Interaction of 2',3'-cAMP with Rbp47b Plays a Role in Stress Granule Formation.2',3'-cAMP 与 Rbp47b 的相互作用在应激颗粒形成中起作用。
Plant Physiol. 2018 May;177(1):411-421. doi: 10.1104/pp.18.00285. Epub 2018 Apr 4.
10
A Map of Protein-Metabolite Interactions Reveals Principles of Chemical Communication.蛋白质-代谢物相互作用图谱揭示了化学通讯的原理。
Cell. 2018 Jan 11;172(1-2):358-372.e23. doi: 10.1016/j.cell.2017.12.006. Epub 2018 Jan 4.