Institut de Biologie Structurale, Université Grenoble Alpes, CEA, CNRS, IBS, Grenoble, France.
MRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
PLoS Biol. 2021 Aug 26;19(8):e3001319. doi: 10.1371/journal.pbio.3001319. eCollection 2021 Aug.
Cryo-electron tomography (cryo-ET) and subtomogram averaging (STA) are increasingly used for macromolecular structure determination in situ. Here, we introduce a set of computational tools and resources designed to enable flexible approaches to STA through increased automation and simplified metadata handling. We create a bidirectional interface between the Dynamo software package and the Warp-Relion-M pipeline, providing a framework for ab initio and geometrical approaches to multiparticle refinement in M. We illustrate the power of working within this framework by applying it to EMPIAR-10164, a publicly available dataset containing immature HIV-1 virus-like particles (VLPs), and a challenging in situ dataset containing chemosensory arrays in bacterial minicells. Additionally, we provide a comprehensive, step-by-step guide to obtaining a 3.4-Å reconstruction from EMPIAR-10164. The guide is hosted on https://teamtomo.org/, a collaborative online platform we establish for sharing knowledge about cryo-ET.
冷冻电子断层扫描(cryo-ET)和亚断层平均(STA)越来越多地用于原位测定大分子结构。在这里,我们介绍了一套计算工具和资源,旨在通过增加自动化和简化元数据处理来实现灵活的 STA 方法。我们在 Dynamo 软件包和 Warp-Relion-M 管道之间创建了一个双向接口,为 M 中多颗粒精修的从头开始和几何方法提供了一个框架。我们通过将其应用于包含不成熟 HIV-1 病毒样颗粒(VLPs)的公开可用数据集 EMPIAR-10164 和包含细菌微细胞中化学感觉阵列的具有挑战性的原位数据集来说明在该框架内工作的强大功能。此外,我们提供了从 EMPIAR-10164 获得 3.4 Å 重建的全面、逐步指南。该指南位于 https://teamtomo.org/ 上,这是我们为共享 cryo-ET 知识而建立的协作式在线平台。