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Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.7 Å inside cells

View ORCID ProfileDimitry Tegunov, View ORCID ProfileLiang Xue, View ORCID ProfileChristian Dienemann, View ORCID ProfilePatrick Cramer, View ORCID ProfileJulia Mahamid
doi: https://doi.org/10.1101/2020.06.05.136341
Dimitry Tegunov
1Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Fassberg 11, 37077 Göttingen, Germany
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  • For correspondence: dteguno@mpibpc.mpg.de patrick.cramer@mpibpc.mpg.de julia.mahamid@embl.de
Liang Xue
2Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany
3Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences
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Christian Dienemann
1Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Fassberg 11, 37077 Göttingen, Germany
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Patrick Cramer
1Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Fassberg 11, 37077 Göttingen, Germany
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  • For correspondence: dteguno@mpibpc.mpg.de patrick.cramer@mpibpc.mpg.de julia.mahamid@embl.de
Julia Mahamid
2Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany
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  • For correspondence: dteguno@mpibpc.mpg.de patrick.cramer@mpibpc.mpg.de julia.mahamid@embl.de
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Abstract

Cryo-electron microscopy (cryo-EM) enables macromolecular structure determination in vitro and in situ. In addition to aligning individual particles, accurate registration of sample motion and 3D deformation during exposures is crucial for achieving high resolution. Here we describe M, a software tool that establishes a reference-based, multi-particle refinement framework for cryo-EM data and improves the results of structure determination. M provides a unified optimization framework for both in vitro frame series and in situ tomographic tilt series data. We show that tilt series data can provide the same resolution as frame series, indicating that the alignment step no longer limits the resolution obtainable from tomographic data. In combination with Warp and RELION, M improves upon previous methods, and resolves a 70S ribosome bound to an antibiotic inside bacterial cells at a nominal resolution of 3.7 Å. Thus, computational tools are now available to resolve structures from tomographic in situ cryo-EM data at residue level.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 05, 2020.
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Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.7 Å inside cells
Dimitry Tegunov, Liang Xue, Christian Dienemann, Patrick Cramer, Julia Mahamid
bioRxiv 2020.06.05.136341; doi: https://doi.org/10.1101/2020.06.05.136341
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Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.7 Å inside cells
Dimitry Tegunov, Liang Xue, Christian Dienemann, Patrick Cramer, Julia Mahamid
bioRxiv 2020.06.05.136341; doi: https://doi.org/10.1101/2020.06.05.136341

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