Warmack Rebeccah A, Maggiolo Ailiena O, Shen Yuanbo, Zhang Tianzheng
bioRxiv. 2025 Feb 4:2025.02.04.636493. doi: 10.1101/2025.02.04.636493.
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 . That approach determines the identity of six distinct oligomeric protein complexes from partially purified extracts of using both anaerobic and aerobic cryoEM. Identification of the first unknown species, phosphoglucoisomerase (Pgi1), is achieved by comparing three automated model building programs: CryoID, DeepTracer, and ModelAngelo with or without proteomics data. All three programs identify the Pgi1 protein, revealed to be in a new decameric state, as well as additional globular structures identified as glutamine synthetase (GlnA) and bacterioferritin (Bfr). Large filamentous assemblies are observed in tomograms reconstructed from cryoFIB milled lamellae of nitrogen-fixing . Enrichment of these species from the cells by centrifugation allows for structure determination of three distinct filament types by helical reconstruction methods: the Type 6 Secretion System non-contractile sheath tube (TssC), a novel filamentous form of the soluble pyridine transhydrogenase (SthA), and the flagellar filament (FliC). The multimeric states of Pgi1 and SthA stand out in contrast to known crystallographic structures and offer a new structural framework from which to evaluate their activities. Overall, by allowing the study of near-native oligomeric protein states, cryoEM-enabled visual proteomics reveals novel structures that correspond to relevant species observed .
单颗粒冷冻电子显微镜(cryoEM)和冷冻电子断层扫描(cryoET)是揭示独特且与功能相关的结构状态的强大方法。在质谱和机器学习的辅助下,它们有望促进对蛋白质组的可视化探索。利用可视化蛋白质组学,我们通过冷冻电镜研究从复杂细胞环境中分离出的结构,以识别和分类分子结构及复合物。该方法通过厌氧和需氧冷冻电镜确定了来自部分纯化提取物的六种不同寡聚蛋白复合物的身份。通过比较三种自动化模型构建程序:CryoID、DeepTracer和ModelAngelo(有无蛋白质组学数据),鉴定出了第一个未知物种磷酸葡萄糖异构酶(Pgi1)。所有这三个程序都识别出了处于新的十聚体状态的Pgi1蛋白,以及被鉴定为谷氨酰胺合成酶(GlnA)和细菌铁蛋白(Bfr)的其他球状结构。在从固氮菌的冷冻聚焦离子束研磨薄片重建的断层图像中观察到大型丝状聚集体。通过离心从细胞中富集这些物种,使得能够通过螺旋重建方法确定三种不同丝状类型的结构:6型分泌系统非收缩性鞘管(TssC)、可溶性吡啶转氢酶(SthA)的一种新型丝状形式以及鞭毛丝(FliC)。Pgi1和SthA的多聚体状态与已知的晶体结构形成鲜明对比,并提供了一个新的结构框架来评估它们的活性。总体而言,通过允许研究接近天然的寡聚蛋白状态,基于冷冻电镜的可视化蛋白质组学揭示了与观察到的相关物种相对应的新结构。