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Article Dans Une Revue PLoS Biology Année : 2021

A flexible framework for multi-particle refinement in cryo-electron tomography

Résumé

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.

Dates et versions

hal-03335431 , version 1 (06-09-2021)

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Alister Burt, Lorenzo Gaifas, Tom Dendooven, Irina Gutsche. A flexible framework for multi-particle refinement in cryo-electron tomography. PLoS Biology, 2021, 19 (8), pp.e3001319. ⟨10.1371/journal.pbio.3001319⟩. ⟨hal-03335431⟩
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