Cellular cryo-electron tomography (cryo-ET) enables three-dimensional reconstructions of organelles in their native cellular environment at subnanometer resolution. However, quantifying ultrastructural features of pleomorphic organelles in three dimensions is challenging, as is defining the significance of observed changes induced by specific cellular perturbations. To address this challenge, we established a semiautomated workflow to segment organellar membranes and reconstruct their underlying surface geometry in cryo-ET. To complement this workflow, we developed an open-source suite of ultrastructural quantifications, integrated into a single pipeline called the surface morphometrics pipeline. This pipeline enables rapid modeling of complex membrane structures and allows detailed mapping of inter- and intramembrane spacing, curvedness, and orientation onto reconstructed membrane meshes, highlighting subtle organellar features that are challenging to detect in three dimensions and allowing for statistical comparison across many organelles. To demonstrate the advantages of this approach, we combine cryo-ET with cryo-fluorescence microscopy to correlate bulk mitochondrial network morphology (i.e., elongated versus fragmented) with membrane ultrastructure of individual mitochondria in the presence and absence of endoplasmic reticulum (ER) stress. Using our pipeline, we demonstrate ER stress promotes adaptive remodeling of ultrastructural features of mitochondria including spacing between the inner and outer membranes, local curvedness of the inner membrane, and spacing between mitochondrial cristae. We show that differences in membrane ultrastructure correlate to mitochondrial network morphologies, suggesting that these two remodeling events are coupled. Our pipeline offers opportunities for quantifying changes in membrane ultrastructure on a single-cell level using cryo-ET, opening new opportunities to define changes in ultrastructural features induced by diverse types of cellular perturbations.
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3 April 2023
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February 14 2023
Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline
In Special Collection:
Structural Biology 2023
Benjamin A. Barad
,
Benjamin A. Barad
*
(Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing - original draft, Writing - review & editing)
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
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Michaela Medina
,
Michaela Medina
*
(Conceptualization, Data curation, Investigation, Methodology, Validation, Visualization, Writing - original draft, Writing - review & editing)
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
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Daniel Fuentes
,
Daniel Fuentes
(Data curation, Formal analysis, Investigation, Validation, Visualization, Writing - original draft, Writing - review & editing)
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
2
Department of Molecular Medicine, The Scripps Research Institute
, La Jolla, CA, USA
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R. Luke Wiseman
,
R. Luke Wiseman
(Conceptualization, Funding acquisition, Methodology, Supervision, Writing - review & editing)
2
Department of Molecular Medicine, The Scripps Research Institute
, La Jolla, CA, USA
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Danielle A. Grotjahn
(Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing - original draft, Writing - review & editing)
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
Correspondence to Danielle A. Grotjahn: grotjahn@scripps.edu
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Benjamin A. Barad
Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing - original draft, Writing - review & editing
*
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
Michaela Medina
Conceptualization, Data curation, Investigation, Methodology, Validation, Visualization, Writing - original draft, Writing - review & editing
*
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
Daniel Fuentes
Data curation, Formal analysis, Investigation, Validation, Visualization, Writing - original draft, Writing - review & editing
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
2
Department of Molecular Medicine, The Scripps Research Institute
, La Jolla, CA, USA
R. Luke Wiseman
Conceptualization, Funding acquisition, Methodology, Supervision, Writing - review & editing
2
Department of Molecular Medicine, The Scripps Research Institute
, La Jolla, CA, USA
Danielle A. Grotjahn
Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing - original draft, Writing - review & editing
1
Department of Integrative Structural and Computational Biology, The Scripps Research Institute
, La Jolla, CA, USA
Correspondence to Danielle A. Grotjahn: grotjahn@scripps.edu
*
B.A. Barad and M. Medina contributed equally to this paper.
Disclosures: The authors declare no competing interests exist.
Received:
April 26 2022
Revision Received:
September 22 2022
Accepted:
January 17 2023
Online ISSN: 1540-8140
Print ISSN: 0021-9525
Funding
Funder(s):
Damon Runyon Cancer Research Foundation
- Award Id(s): DRR-65-21
Funder(s):
American Cancer Society
- Award Id(s): PF-21-075-01-CCB
Funder(s):
National Institutes of Health
- Award Id(s): RF1NS125674,R01NS095892
© 2023 Barad et al.
2023
Barad et al.
This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).
J Cell Biol (2023) 222 (4): e202204093.
Article history
Received:
April 26 2022
Revision Received:
September 22 2022
Accepted:
January 17 2023
Citation
Benjamin A. Barad, Michaela Medina, Daniel Fuentes, R. Luke Wiseman, Danielle A. Grotjahn; Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline. J Cell Biol 3 April 2023; 222 (4): e202204093. doi: https://doi.org/10.1083/jcb.202204093
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