Step-by-step guide to efficient subtomogram averaging of virus-like particles with Dynamo

37Citations
Citations of this article
63Readers
Mendeley users who have this article in their library.

Abstract

ASUub:toPmleoagseracomnfairvmetrhaagtianlglh(eSaTdiAng) lisevaelpsaorweererpfurleismenatgedecporroreccetslys:ing technique in electron tomography used to determine the 3D structure of macromolecular complexes in their native environments. It is a fast growing technique with increasing importance in structural biology. The computational aspect of STA is very complex and depends on a large number of variables. We noticed a lack of detailed guides for STA processing. Also, current publications in this field often lack a documentation that is practical enough to reproduce the results with reasonable effort, which is necessary for the scientific community to grow. We therefore provide a complete, detailed, and fully reproducible processing protocol that covers all aspects of particle picking and particle alignment in STA. The command line-based workflow is fully based on the popular Dynamo software for STA. Within this workflow, we also demonstrate how large parts of the processing pipeline can be streamlined and automatized for increased throughput. This protocol is aimed at users on all levels. It can be used for training purposes, or it can serve as basis to design user-specific projects by taking advantage of the flexibility of Dynamo by modifying and expanding the given pipeline. The protocol is successfully validated using the Electron Microscopy Public Image Archive (EAMUPI:APRle)adsaetnaobteatsheateEnMtrPyI1A0R1h6a4sbeendefinedasElectronMicroscopyPublicImageArchiveinsentencesTheprotocolissuccessfullyvalifrom immature HIV-1 virus-like particles (VLAPUs:) Pthlaeat sdeensocteritbheatathgeaebobmreevtiraytioofnteVnLPsesheansbineeenleinct-roducedforvirus tron tomography.

Cite

CITATION STYLE

APA

Scaramuzza, S., & Castaño-Díez, D. (2021). Step-by-step guide to efficient subtomogram averaging of virus-like particles with Dynamo. PLoS Biology, 19(8). https://doi.org/10.1371/journal.pbio.3001318

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free