A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0
MRC Laboratory of Molecular Biology · University of Basel · +9 more institutions
Abstract
We present a new approach for macromolecular structure determination from multiple particles in electron cryo-tomography (cryo-ET) data sets. Whereas existing subtomogram averaging approaches are based on 3D data models, we propose to optimise a regularised likelihood target that approximates a function of the 2D experimental images. In addition, analogous to Bayesian polishing and contrast transfer function (CTF) refinement in single-particle analysis, we describe the approaches that exploit the increased signal-to-noise ratio in the averaged structure to optimise tilt-series alignments, beam-induced motions of the particles throughout the tilt-series acquisition, defoci of the individual particles, as well…
Citation impact
- FWCI
- 68.96
- Percentile
- 100%
- References
- 56
Authors
12- JZJasenko ZivanovCorresponding
MRC Laboratory of Molecular Biology, University of Basel, Laboratoire d’Imagerie Biomédicale, Centre d'Imagerie BioMedicale
- JOJoaquı́n Otón
MRC Laboratory of Molecular Biology, ALBA Synchrotron (Spain)
- ZKZunlong Ke
MRC Laboratory of Molecular Biology, Max Planck Institute of Biochemistry
- AVAndriko von Kügelgen
MRC Laboratory of Molecular Biology, University of Oxford
- EPEuan Pyle
Institute of Structural and Molecular Biology, Birkbeck, University of London
Topics & keywords
- Single particle analysis
- Electron tomography
- Software
- Computer science
- Algorithm
- Bayesian probability
- Cryo-electron microscopy
- Cryo-electron tomography
Funding
- URUK Research and InnovationAwards: MC_UP_1201/16, BBSRC grant BB/T002670/1, MC_UP_A025_1013
- SNSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAward: 205321_179041/1
- BABiotechnology and Biological Sciences Research CouncilAward: BB/T002670/1
- EREuropean Research CouncilAwards: ERC-StG-2019 grant 852915, ERC-AdG-2015 grant 692726, ERC-CoG-2014 grant 648432