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Soft X‐ray tomograms provide a structural basis for whole‐cell modeling

Developing in silico models that accurately reflect a whole, functional cell is an ongoing challenge in biology. Current efforts bring together mathematical models, probabilistic models, visual representations, and data to create a multi‐scale description of cellular processes. A realistic whole‐cel...

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Autores principales: Loconte, Valentina, Chen, Jian‐Hua, Vanslembrouck, Bieke, Ekman, Axel A., McDermott, Gerry, Le Gros, Mark A., Larabell, Carolyn A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107707/
https://www.ncbi.nlm.nih.gov/pubmed/36519968
http://dx.doi.org/10.1096/fj.202200253R
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author Loconte, Valentina
Chen, Jian‐Hua
Vanslembrouck, Bieke
Ekman, Axel A.
McDermott, Gerry
Le Gros, Mark A.
Larabell, Carolyn A.
author_facet Loconte, Valentina
Chen, Jian‐Hua
Vanslembrouck, Bieke
Ekman, Axel A.
McDermott, Gerry
Le Gros, Mark A.
Larabell, Carolyn A.
author_sort Loconte, Valentina
collection PubMed
description Developing in silico models that accurately reflect a whole, functional cell is an ongoing challenge in biology. Current efforts bring together mathematical models, probabilistic models, visual representations, and data to create a multi‐scale description of cellular processes. A realistic whole‐cell model requires imaging data since it provides spatial constraints and other critical cellular characteristics that are still impossible to obtain by calculation alone. This review introduces Soft X‐ray Tomography (SXT) as a powerful imaging technique to visualize and quantify the mesoscopic (~25 nm spatial scale) organelle landscape in whole cells. SXT generates three‐dimensional reconstructions of cellular ultrastructure and provides a measured structural framework for whole‐cell modeling. Combining SXT with data from disparate technologies at varying spatial resolutions provides further biochemical details and constraints for modeling cellular mechanisms. We conclude, based on the results discussed here, that SXT provides a foundational dataset for a broad spectrum of whole‐cell modeling experiments.
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spelling pubmed-101077072023-04-18 Soft X‐ray tomograms provide a structural basis for whole‐cell modeling Loconte, Valentina Chen, Jian‐Hua Vanslembrouck, Bieke Ekman, Axel A. McDermott, Gerry Le Gros, Mark A. Larabell, Carolyn A. FASEB J Perspective Developing in silico models that accurately reflect a whole, functional cell is an ongoing challenge in biology. Current efforts bring together mathematical models, probabilistic models, visual representations, and data to create a multi‐scale description of cellular processes. A realistic whole‐cell model requires imaging data since it provides spatial constraints and other critical cellular characteristics that are still impossible to obtain by calculation alone. This review introduces Soft X‐ray Tomography (SXT) as a powerful imaging technique to visualize and quantify the mesoscopic (~25 nm spatial scale) organelle landscape in whole cells. SXT generates three‐dimensional reconstructions of cellular ultrastructure and provides a measured structural framework for whole‐cell modeling. Combining SXT with data from disparate technologies at varying spatial resolutions provides further biochemical details and constraints for modeling cellular mechanisms. We conclude, based on the results discussed here, that SXT provides a foundational dataset for a broad spectrum of whole‐cell modeling experiments. John Wiley and Sons Inc. 2022-12-15 2023-01 /pmc/articles/PMC10107707/ /pubmed/36519968 http://dx.doi.org/10.1096/fj.202200253R Text en © 2022 The Authors. The FASEB Journal published by Wiley Periodicals LLC on behalf of Federation of American Societies for Experimental Biology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Perspective
Loconte, Valentina
Chen, Jian‐Hua
Vanslembrouck, Bieke
Ekman, Axel A.
McDermott, Gerry
Le Gros, Mark A.
Larabell, Carolyn A.
Soft X‐ray tomograms provide a structural basis for whole‐cell modeling
title Soft X‐ray tomograms provide a structural basis for whole‐cell modeling
title_full Soft X‐ray tomograms provide a structural basis for whole‐cell modeling
title_fullStr Soft X‐ray tomograms provide a structural basis for whole‐cell modeling
title_full_unstemmed Soft X‐ray tomograms provide a structural basis for whole‐cell modeling
title_short Soft X‐ray tomograms provide a structural basis for whole‐cell modeling
title_sort soft x‐ray tomograms provide a structural basis for whole‐cell modeling
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107707/
https://www.ncbi.nlm.nih.gov/pubmed/36519968
http://dx.doi.org/10.1096/fj.202200253R
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