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Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration

Current approaches for dynamic profiling of single cells rely on dissociated cultures, which lack important biological features existing in tissues. Organotypic slice cultures preserve aspects of structural and synaptic organisation within the brain and are amenable to microscopy, but established te...

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Autores principales: Linsley, Jeremy W., Tripathi, Atmiyata, Epstein, Irina, Schmunk, Galina, Mount, Elliot, Campioni, Matthew, Oza, Viral, Barch, Mariya, Javaherian, Ashkan, Nowakowski, Tomasz J., Samsi, Siddharth, Finkbeiner, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494885/
https://www.ncbi.nlm.nih.gov/pubmed/31069265
http://dx.doi.org/10.1038/s42003-019-0411-9
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author Linsley, Jeremy W.
Tripathi, Atmiyata
Epstein, Irina
Schmunk, Galina
Mount, Elliot
Campioni, Matthew
Oza, Viral
Barch, Mariya
Javaherian, Ashkan
Nowakowski, Tomasz J.
Samsi, Siddharth
Finkbeiner, Steven
author_facet Linsley, Jeremy W.
Tripathi, Atmiyata
Epstein, Irina
Schmunk, Galina
Mount, Elliot
Campioni, Matthew
Oza, Viral
Barch, Mariya
Javaherian, Ashkan
Nowakowski, Tomasz J.
Samsi, Siddharth
Finkbeiner, Steven
author_sort Linsley, Jeremy W.
collection PubMed
description Current approaches for dynamic profiling of single cells rely on dissociated cultures, which lack important biological features existing in tissues. Organotypic slice cultures preserve aspects of structural and synaptic organisation within the brain and are amenable to microscopy, but established techniques are not well adapted for high throughput or longitudinal single cell analysis. Here we developed a custom-built, automated confocal imaging platform, with improved organotypic slice culture and maintenance. The approach enables fully automated image acquisition and four-dimensional tracking of morphological changes within individual cells in organotypic cultures from rodent and human primary tissues for at least 3 weeks. To validate this system, we analysed neurons expressing a disease-associated version of huntingtin (HTT586Q138-EGFP), and observed that they displayed hallmarks of Huntington’s disease and died sooner than controls. By facilitating longitudinal single-cell analyses of neuronal physiology, our system bridges scales necessary to attain statistical power to detect developmental and disease phenotypes.
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spelling pubmed-64948852019-05-08 Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration Linsley, Jeremy W. Tripathi, Atmiyata Epstein, Irina Schmunk, Galina Mount, Elliot Campioni, Matthew Oza, Viral Barch, Mariya Javaherian, Ashkan Nowakowski, Tomasz J. Samsi, Siddharth Finkbeiner, Steven Commun Biol Article Current approaches for dynamic profiling of single cells rely on dissociated cultures, which lack important biological features existing in tissues. Organotypic slice cultures preserve aspects of structural and synaptic organisation within the brain and are amenable to microscopy, but established techniques are not well adapted for high throughput or longitudinal single cell analysis. Here we developed a custom-built, automated confocal imaging platform, with improved organotypic slice culture and maintenance. The approach enables fully automated image acquisition and four-dimensional tracking of morphological changes within individual cells in organotypic cultures from rodent and human primary tissues for at least 3 weeks. To validate this system, we analysed neurons expressing a disease-associated version of huntingtin (HTT586Q138-EGFP), and observed that they displayed hallmarks of Huntington’s disease and died sooner than controls. By facilitating longitudinal single-cell analyses of neuronal physiology, our system bridges scales necessary to attain statistical power to detect developmental and disease phenotypes. Nature Publishing Group UK 2019-05-01 /pmc/articles/PMC6494885/ /pubmed/31069265 http://dx.doi.org/10.1038/s42003-019-0411-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Linsley, Jeremy W.
Tripathi, Atmiyata
Epstein, Irina
Schmunk, Galina
Mount, Elliot
Campioni, Matthew
Oza, Viral
Barch, Mariya
Javaherian, Ashkan
Nowakowski, Tomasz J.
Samsi, Siddharth
Finkbeiner, Steven
Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration
title Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration
title_full Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration
title_fullStr Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration
title_full_unstemmed Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration
title_short Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration
title_sort automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494885/
https://www.ncbi.nlm.nih.gov/pubmed/31069265
http://dx.doi.org/10.1038/s42003-019-0411-9
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