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Form and function of the condensed bacterial nucleoid studied by cryo-ET

Published online by Cambridge University Press:  30 July 2021

Daniel Parrell ,
Joseph Olson ,
Timothy Donohue  and
Elizabeth Wright
Daniel Parrell
Affiliation:
Department of Biochemistry, University of Wisconsin - Madison, United States
Joseph Olson
Affiliation:
Department of Biochemistry, University of Wisconsin, Illinois, United States
Timothy Donohue
Affiliation:
Department of Bacteriology, University of Wisconsin, Madison, Wisconsin, United States
Elizabeth Wright
Affiliation:
Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States

Abstract

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Type
Cryo-electron Tomography: Present Capabilities and Future Potential
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 3020 - 3022
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

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Chen, M, Dai, W, Sun, SY, Jonasch, D, He, CY, Schmid, MF, Chiu, W, Ludtke, SJ. Convolutional neural networks for automated annotation of cellular cryo-electron tomograms. Nat Methods. 2017;14(10):983-5. Epub 2017/08/29. doi: 10.1038/nmeth.4405. PubMed PMID: 28846087; PMCID: PMC5623144.Google 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, and the Great Lakes Bioenergy Research Center (DOE DE-SC0018409) to T.D. All EM data was collected at the University of Wisconsin-Madison, Department of Biochemistry Cryo-EM Research Center.Google Scholar