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Local computational methods to improve the interpretability and analysis of cryo-EM maps

Published online by Cambridge University Press:  30 July 2021

Satinder Kaur ,
Josue Gomez-Blanco ,
Ahmad A. Z. Khalifa ,
Swathi Adinarayanan ,
Ruben Sanchez-Garcia ,
Daniel Wrapp ,
Jason McLellan ,
Khanh Huy Bui  and
Javier Vargas
Satinder Kaur
Affiliation:
Department of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada, United States
Josue Gomez-Blanco
Affiliation:
Universidad Complutense de Madrid, United States
Ahmad A. Z. Khalifa
Affiliation:
Department of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada, United States
Swathi Adinarayanan
Affiliation:
Department of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada, United States
Ruben Sanchez-Garcia
Affiliation:
United States
Daniel Wrapp
Affiliation:
Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA, Hanover, New Hampshire, United States
Jason McLellan
Affiliation:
United States
Khanh Huy Bui
Affiliation:
Department of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada, United States
Javier Vargas
Affiliation:
Departmento de Óptica, Universidad Complutense de Madrid, Madrid, Spain, United States

Abstract

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Type
3D Structures: From Macromolecular Assemblies to Whole Cells (3DEM FIG)
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 76 - 78
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Pal, R.R., et al. , Pathogenic E. coli Extracts Nutrients from Infected Host Cells Utilizing Injectisome Components. Cell, 2019. 177(3): p. 683-696.e18.CrossRefGoogle ScholarPubMed
Weiner, J.H., et al. , Overproduction of fumarate reductase in Escherichia coli induces a novel intracellular lipid-protein organelle. J Bacteriol, 1984. 158(2): p. 590-6.CrossRefGoogle ScholarPubMed
Shetty, A., et al. , Nanopods: a new bacterial structure and mechanism for deployment of outer membrane vesicles. PloS one, 2011. 6(6): p. e20725-e20725.CrossRefGoogle ScholarPubMed
Wang, F., et al. , Structure of Microbial Nanowires Reveals Stacked Hemes that Transport Electrons over Micrometers. Cell, 2019. 177(2): p. 361-369.e10.Google ScholarPubMed
Mastronarde, D.N., Automated electron microscope tomography using robust prediction of specimen movements. Journal of Structural Biology, 2005. 152(1): p. 36-51.CrossRefGoogle ScholarPubMed
Kremer, J.R., Mastronarde, D.N., and McIntosh, J.R., Computer Visualization of Three-Dimensional Image Data Using IMOD. Journal of Structural Biology, 1996. 116(1): p. 71-76.CrossRefGoogle ScholarPubMed
Zheng, S.Q., et al. , MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nature methods, 2017. 14(4): p. 331-332.CrossRefGoogle ScholarPubMed
Chen, M., et al. , Convolutional neural networks for automated annotation of cellular cryo-electron tomograms. Nature methods, 2017. 14(10): p. 983-985.CrossRefGoogle ScholarPubMed
This research was supported by funds from the University of Wisconsin-Madison, National Institutes of Health (R01GM104540 and R01GM104540-03S1) to E.R.W. J.C.S. was supported in part by the Biotechnology Training Program, T32GM135066. All EM data was collected at the University of Wisconsin-Madison, Department of Biochemistry Cryo-EM Research Center. The authors gratefully acknowledge use of facilities and instrumentation at the UW-Madison Wisconsin Centers for Nanoscale Technology (wcnt.wisc.edu) partially supported by the NSF through the University of Wisconsin Materials Research Science and Engineering Center (DMR-1720415).Google Scholar