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Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline
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 signific...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Rockefeller University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960335/ https://www.ncbi.nlm.nih.gov/pubmed/36786771 http://dx.doi.org/10.1083/jcb.202204093 |
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author | Barad, Benjamin A. Medina, Michaela Fuentes, Daniel Wiseman, R. Luke Grotjahn, Danielle A. |
author_facet | Barad, Benjamin A. Medina, Michaela Fuentes, Daniel Wiseman, R. Luke Grotjahn, Danielle A. |
author_sort | Barad, Benjamin A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9960335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Rockefeller University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99603352023-08-14 Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline Barad, Benjamin A. Medina, Michaela Fuentes, Daniel Wiseman, R. Luke Grotjahn, Danielle A. J Cell Biol Tools 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. Rockefeller University Press 2023-02-14 /pmc/articles/PMC9960335/ /pubmed/36786771 http://dx.doi.org/10.1083/jcb.202204093 Text en © 2023 Barad et al. https://creativecommons.org/licenses/by-nc-sa/4.0/http://www.rupress.org/terms/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/). |
spellingShingle | Tools Barad, Benjamin A. Medina, Michaela Fuentes, Daniel Wiseman, R. Luke Grotjahn, Danielle A. Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline |
title | Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline |
title_full | Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline |
title_fullStr | Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline |
title_full_unstemmed | Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline |
title_short | Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline |
title_sort | quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline |
topic | Tools |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960335/ https://www.ncbi.nlm.nih.gov/pubmed/36786771 http://dx.doi.org/10.1083/jcb.202204093 |
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