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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6494885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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