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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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Detalles Bibliográficos
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
Descripción
Sumario: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.