Yuanbo Shen, Ailiena O. Maggiolo, Tianzheng Zhang, Rebeccah A. Warmack
{"title":"冷冻电镜下的视觉蛋白质组学揭示了寡聚蛋白复合物的新结构","authors":"Yuanbo Shen, Ailiena O. Maggiolo, Tianzheng Zhang, Rebeccah A. Warmack","doi":"10.1016/j.str.2025.06.007","DOIUrl":null,"url":null,"abstract":"Single particle cryoelectron microscopy (cryoEM) and cryoelectron tomography (cryoET) are powerful methods for unveiling unique and functionally relevant structural states. Aided by mass spectrometry and machine learning, they promise to facilitate the visual exploration of proteomes. Leveraging visual proteomics, we interrogate structures isolated from a complex cellular milieu by cryoEM to identify and classify molecular structures and complexes <em>de novo</em>. By comparing three automated model building programs, CryoID, DeepTracer, and ModelAngelo, we determine the identity of six distinct oligomeric protein complexes from partially purified extracts of the nitrogen-fixing bacterium <em>Azotobacter vinelandii</em> using both anaerobic and aerobic cryoEM, including two original oligomeric structures. Overall, by allowing the study of near-native oligomeric protein states, cryoEM-enabled visual proteomics reveals unique structures that correspond to relevant species observed <em>in situ</em>.","PeriodicalId":22168,"journal":{"name":"Structure","volume":"677 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CryoEM-enabled visual proteomics reveals de novo structures of oligomeric protein complexes\",\"authors\":\"Yuanbo Shen, Ailiena O. Maggiolo, Tianzheng Zhang, Rebeccah A. Warmack\",\"doi\":\"10.1016/j.str.2025.06.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Single particle cryoelectron microscopy (cryoEM) and cryoelectron tomography (cryoET) are powerful methods for unveiling unique and functionally relevant structural states. Aided by mass spectrometry and machine learning, they promise to facilitate the visual exploration of proteomes. Leveraging visual proteomics, we interrogate structures isolated from a complex cellular milieu by cryoEM to identify and classify molecular structures and complexes <em>de novo</em>. By comparing three automated model building programs, CryoID, DeepTracer, and ModelAngelo, we determine the identity of six distinct oligomeric protein complexes from partially purified extracts of the nitrogen-fixing bacterium <em>Azotobacter vinelandii</em> using both anaerobic and aerobic cryoEM, including two original oligomeric structures. Overall, by allowing the study of near-native oligomeric protein states, cryoEM-enabled visual proteomics reveals unique structures that correspond to relevant species observed <em>in situ</em>.\",\"PeriodicalId\":22168,\"journal\":{\"name\":\"Structure\",\"volume\":\"677 1\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structure\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.str.2025.06.007\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structure","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.str.2025.06.007","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
CryoEM-enabled visual proteomics reveals de novo structures of oligomeric protein complexes
Single particle cryoelectron microscopy (cryoEM) and cryoelectron tomography (cryoET) are powerful methods for unveiling unique and functionally relevant structural states. Aided by mass spectrometry and machine learning, they promise to facilitate the visual exploration of proteomes. Leveraging visual proteomics, we interrogate structures isolated from a complex cellular milieu by cryoEM to identify and classify molecular structures and complexes de novo. By comparing three automated model building programs, CryoID, DeepTracer, and ModelAngelo, we determine the identity of six distinct oligomeric protein complexes from partially purified extracts of the nitrogen-fixing bacterium Azotobacter vinelandii using both anaerobic and aerobic cryoEM, including two original oligomeric structures. Overall, by allowing the study of near-native oligomeric protein states, cryoEM-enabled visual proteomics reveals unique structures that correspond to relevant species observed in situ.
期刊介绍:
Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome.
In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.