• 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

酵母蛋白质相互作用组的社会和结构架构。

The social and structural architecture of the yeast protein interactome.

机构信息

Max-Planck Institute of Biochemistry, Martinsried, Germany.

Drug Discovery Sciences, Boehringer Ingelheim Pharma, Biberach Riss, Germany.

出版信息

Nature. 2023 Dec;624(7990):192-200. doi: 10.1038/s41586-023-06739-5. Epub 2023 Nov 15.

DOI:10.1038/s41586-023-06739-5
PMID:37968396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10700138/
Abstract

Cellular functions are mediated by protein-protein interactions, and mapping the interactome provides fundamental insights into biological systems. Affinity purification coupled to mass spectrometry is an ideal tool for such mapping, but it has been difficult to identify low copy number complexes, membrane complexes and complexes that are disrupted by protein tagging. As a result, our current knowledge of the interactome is far from complete, and assessing the reliability of reported interactions is challenging. Here we develop a sensitive high-throughput method using highly reproducible affinity enrichment coupled to mass spectrometry combined with a quantitative two-dimensional analysis strategy to comprehensively map the interactome of Saccharomyces cerevisiae. Thousand-fold reduced volumes in 96-well format enabled replicate analysis of the endogenous GFP-tagged library covering the entire expressed yeast proteome. The 4,159 pull-downs generated a highly structured network of 3,927 proteins connected by 31,004 interactions, doubling the number of proteins and tripling the number of reliable interactions compared with existing interactome maps. This includes very-low-abundance epigenetic complexes, organellar membrane complexes and non-taggable complexes inferred by abundance correlation. This nearly saturated interactome reveals that the vast majority of yeast proteins are highly connected, with an average of 16 interactors. Similar to social networks between humans, the average shortest distance between proteins is 4.2 interactions. AlphaFold-Multimer provided novel insights into the functional roles of previously uncharacterized proteins in complexes. Our web portal ( www.yeast-interactome.org ) enables extensive exploration of the interactome dataset.

摘要

细胞功能是由蛋白质-蛋白质相互作用介导的,绘制相互作用组图为深入了解生物系统提供了基础。亲和纯化结合质谱是进行这种映射的理想工具,但识别低拷贝数复合物、膜复合物和被蛋白质标记破坏的复合物一直具有挑战性。因此,我们目前对相互作用组的了解远不完整,评估报告的相互作用的可靠性具有挑战性。在这里,我们开发了一种灵敏的高通量方法,使用高度可重复的亲和富集结合质谱,并结合定量二维分析策略,全面绘制酿酒酵母相互作用组图。在 96 孔格式中,体积减少了千倍,可重复分析覆盖整个酵母表达蛋白组的内源性 GFP 标记文库。4159 个下拉物生成了一个高度结构化的网络,其中包含 3927 种蛋白质,通过 31004 种相互作用连接,与现有相互作用组图谱相比,蛋白质数量增加了一倍,可靠相互作用数量增加了两倍。这包括非常低丰度的表观遗传复合物、细胞器膜复合物和丰度相关性推断的不可标记复合物。这个几乎饱和的相互作用组表明,绝大多数酵母蛋白高度连接,平均有 16 个相互作用体。与人类之间的社交网络类似,蛋白质之间的平均最短距离为 4.2 个相互作用。AlphaFold-Multimer 为以前未表征的复合物中的蛋白质在功能作用方面提供了新的见解。我们的网络门户 (www.yeast-interactome.org) 使相互作用组数据集能够得到广泛的探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/2671df89cd2f/41586_2023_6739_Fig11_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/02e27a238dec/41586_2023_6739_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/02aebfdeced2/41586_2023_6739_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/a4cb6f52d65f/41586_2023_6739_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/c89aab458630/41586_2023_6739_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/e7614f42bf24/41586_2023_6739_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/baf9b9ac963a/41586_2023_6739_Fig6_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/3739cf360a64/41586_2023_6739_Fig7_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/aa0e4fcfb925/41586_2023_6739_Fig8_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/81feec79a89a/41586_2023_6739_Fig9_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/3fb2518b7359/41586_2023_6739_Fig10_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/2671df89cd2f/41586_2023_6739_Fig11_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/02e27a238dec/41586_2023_6739_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/02aebfdeced2/41586_2023_6739_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/a4cb6f52d65f/41586_2023_6739_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/c89aab458630/41586_2023_6739_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/e7614f42bf24/41586_2023_6739_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/baf9b9ac963a/41586_2023_6739_Fig6_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/3739cf360a64/41586_2023_6739_Fig7_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/aa0e4fcfb925/41586_2023_6739_Fig8_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/81feec79a89a/41586_2023_6739_Fig9_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/3fb2518b7359/41586_2023_6739_Fig10_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faca/10700138/2671df89cd2f/41586_2023_6739_Fig11_ESM.jpg

相似文献

1
The social and structural architecture of the yeast protein interactome.酵母蛋白质相互作用组的社会和结构架构。
Nature. 2023 Dec;624(7990):192-200. doi: 10.1038/s41586-023-06739-5. Epub 2023 Nov 15.
2
Interaction landscape of membrane-protein complexes in Saccharomyces cerevisiae.酵母中膜蛋白复合物的相互作用图谱。
Nature. 2012 Sep 27;489(7417):585-9. doi: 10.1038/nature11354. Epub 2012 Sep 2.
3
High-quality binary protein interaction map of the yeast interactome network.酵母相互作用组网络的高质量二元蛋白质相互作用图谱。
Science. 2008 Oct 3;322(5898):104-10. doi: 10.1126/science.1158684. Epub 2008 Aug 21.
4
Cross-linking Mass Spectrometry Analysis of the Yeast Nucleus Reveals Extensive Protein-Protein Interactions Not Detected by Systematic Two-Hybrid or Affinity Purification-Mass Spectrometry.交联质谱分析酵母核体揭示了系统双杂交或亲和纯化-质谱检测不到的广泛蛋白质-蛋白质相互作用。
Anal Chem. 2020 Jan 21;92(2):1874-1882. doi: 10.1021/acs.analchem.9b03975. Epub 2020 Jan 9.
5
Functional organization of the yeast proteome by a yeast interactome map.通过酵母相互作用组图谱对酵母蛋白质组进行功能组织
Proc Natl Acad Sci U S A. 2009 Feb 3;106(5):1490-5. doi: 10.1073/pnas.0808624106. Epub 2009 Jan 21.
6
Assessment of high-confidence protein-protein interactome in yeast.酵母中高可信度蛋白质-蛋白质相互作用组的评估
Comput Biol Chem. 2013 Aug;45:1-8. doi: 10.1016/j.compbiolchem.2013.03.002. Epub 2013 Mar 26.
7
New insights into protein-protein interaction data lead to increased estimates of the S. cerevisiae interactome size.对蛋白质-蛋白质相互作用数据的新见解导致了酿酒酵母相互作用组大小的估计增加。
BMC Bioinformatics. 2010 Dec 21;11:605. doi: 10.1186/1471-2105-11-605.
8
MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.MCL-CAw:一种改进的 MCL 方法,用于通过整合核心附着结构,从加权 PPI 网络中检测酵母复合物。
BMC Bioinformatics. 2010 Oct 12;11:504. doi: 10.1186/1471-2105-11-504.
9
A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality.一份高精度的酵母蛋白质复合物共识图谱揭示了基因必需性的模块化性质。
BMC Bioinformatics. 2007 Jul 2;8:236. doi: 10.1186/1471-2105-8-236.
10
Predicting physical interactions between protein complexes.预测蛋白质复合物之间的物理相互作用。
Mol Cell Proteomics. 2013 Jun;12(6):1723-34. doi: 10.1074/mcp.O112.019828. Epub 2013 Feb 25.

引用本文的文献

1
Multiple interactions recruit BLTP2 to ER-PM contacts to control plasma membrane dynamics.多种相互作用将BLTP2招募到内质网-质膜接触位点以控制质膜动力学。
J Cell Biol. 2025 Sep 3;224(11). doi: 10.1083/jcb.202504027.
2
Mapping the Architecture of Protein Complexes in Using Cross-Linking Mass Spectrometry.利用交联质谱法绘制蛋白质复合物的结构
bioRxiv. 2025 Jul 21:2025.04.28.651104. doi: 10.1101/2025.04.28.651104.
3
Integrated biotechnological and AI innovations for crop improvement.用于作物改良的综合生物技术与人工智能创新。

本文引用的文献

1
Evolutionary-scale prediction of atomic-level protein structure with a language model.用语言模型进行原子级蛋白质结构的进化尺度预测。
Science. 2023 Mar 17;379(6637):1123-1130. doi: 10.1126/science.ade2574. Epub 2023 Mar 16.
2
Cryo-EM structures of Gid12-bound GID E3 reveal steric blockade as a mechanism inhibiting substrate ubiquitylation.与Gid12结合的GID E3的冷冻电镜结构揭示了空间位阻是一种抑制底物泛素化的机制。
Nat Commun. 2022 Jun 1;13(1):3041. doi: 10.1038/s41467-022-30803-9.
3
OpenCell: Endogenous tagging for the cartography of human cellular organization.
Nature. 2025 Jul;643(8073):925-937. doi: 10.1038/s41586-025-09122-8. Epub 2025 Jul 23.
4
Admixture mapping reveals evidence for multiple mitonuclear incompatibilities in swordtail fish hybrids.混合映射揭示了剑尾鱼杂交种中多种线粒体-核不相容性的证据。
bioRxiv. 2025 Jun 23:2025.01.30.635158. doi: 10.1101/2025.01.30.635158.
5
Multimeric protein interaction and complex prediction: Structure, dynamics and function.多聚体蛋白质相互作用与复合物预测:结构、动力学与功能
Comput Struct Biotechnol J. 2025 May 16;27:1975-1997. doi: 10.1016/j.csbj.2025.05.009. eCollection 2025.
6
Pervasive Divergence in Protein Thermostability is Mediated by Both Structural Changes and Cellular Environments.蛋白质热稳定性的普遍差异由结构变化和细胞环境共同介导。
Mol Biol Evol. 2025 Jul 1;42(7). doi: 10.1093/molbev/msaf137.
7
Evaluating sequence and structural similarity metrics for predicting shared paralog functions.评估用于预测共享旁系同源基因功能的序列和结构相似性指标。
NAR Genom Bioinform. 2025 Apr 26;7(2):lqaf051. doi: 10.1093/nargab/lqaf051. eCollection 2025 Jun.
8
A Saccharomyces cerevisiae knockout screen for genes critical for growth under sulfur- and nitrogen-limited conditions reveals intracellular sorting via vesicular transport systems.一项针对酿酒酵母在硫和氮限制条件下生长关键基因的基因敲除筛选揭示了通过囊泡运输系统进行的细胞内分选。
G3 (Bethesda). 2025 Jul 9;15(7). doi: 10.1093/g3journal/jkaf074.
9
Recent progress and future challenges in structure-based protein-protein interaction prediction.基于结构的蛋白质-蛋白质相互作用预测的最新进展与未来挑战
Mol Ther. 2025 May 7;33(5):2252-2268. doi: 10.1016/j.ymthe.2025.04.003. Epub 2025 Apr 6.
10
A dynamic protein interactome drives energy conservation and electron flux in .一个动态蛋白质相互作用组驱动能量守恒和电子通量。 (你提供的原文不完整,句末缺少具体内容)
Appl Environ Microbiol. 2025 Apr 23;91(4):e0029325. doi: 10.1128/aem.00293-25. Epub 2025 Apr 3.
OpenCell:用于人类细胞组织图谱绘制的内源性标记。
Science. 2022 Mar 11;375(6585):eabi6983. doi: 10.1126/science.abi6983.
4
Computed structures of core eukaryotic protein complexes.核心真核蛋白复合物的计算结构。
Science. 2021 Dec 10;374(6573):eabm4805. doi: 10.1126/science.abm4805.
5
Accurate prediction of protein structures and interactions using a three-track neural network.使用三轨神经网络准确预测蛋白质结构和相互作用。
Science. 2021 Aug 20;373(6557):871-876. doi: 10.1126/science.abj8754. Epub 2021 Jul 15.
6
Highly accurate protein structure prediction with AlphaFold.利用 AlphaFold 进行高精度蛋白质结构预测。
Nature. 2021 Aug;596(7873):583-589. doi: 10.1038/s41586-021-03819-2. Epub 2021 Jul 15.
7
Dual proteome-scale networks reveal cell-specific remodeling of the human interactome.双重蛋白质组尺度网络揭示了人类相互作用组的细胞特异性重塑。
Cell. 2021 May 27;184(11):3022-3040.e28. doi: 10.1016/j.cell.2021.04.011. Epub 2021 May 6.
8
Discovery-Versus Hypothesis-Driven Detection of Protein-Protein Interactions and Complexes.蛋白质-蛋白质相互作用和复合物的发现驱动与假设驱动检测
Int J Mol Sci. 2021 Apr 24;22(9):4450. doi: 10.3390/ijms22094450.
9
Inositol pyrophosphates promote the interaction of SPX domains with the coiled-coil motif of PHR transcription factors to regulate plant phosphate homeostasis.肌醇六磷酸促进 SPX 结构域与 PHR 转录因子卷曲螺旋基序的相互作用,从而调节植物的磷稳态。
Nat Commun. 2021 Jan 15;12(1):384. doi: 10.1038/s41467-020-20681-4.
10
Deciphering molecular interactions by proximity labeling.通过邻近标记技术解析分子相互作用。
Nat Methods. 2021 Feb;18(2):133-143. doi: 10.1038/s41592-020-01010-5. Epub 2021 Jan 11.