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An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology
We describe how to reconstruct and quantify multi-signal neuronal morphology, using the dendritic distributions of microtubules and F-actin in sensory neurons from fly larvae as examples. We then provide a detailed procedure to analyze channel-specific morphometrics from these enhanced reconstructio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188613/ https://www.ncbi.nlm.nih.gov/pubmed/34151294 http://dx.doi.org/10.1016/j.xpro.2021.100567 |
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author | Nanda, Sumit Bhattacharjee, Shatabdi Cox, Daniel N. Ascoli, Giorgio A. |
author_facet | Nanda, Sumit Bhattacharjee, Shatabdi Cox, Daniel N. Ascoli, Giorgio A. |
author_sort | Nanda, Sumit |
collection | PubMed |
description | We describe how to reconstruct and quantify multi-signal neuronal morphology, using the dendritic distributions of microtubules and F-actin in sensory neurons from fly larvae as examples. We then provide a detailed procedure to analyze channel-specific morphometrics from these enhanced reconstructions. To illustrate applications, we demonstrate how to run a cytoskeleton-constrained simulation of dendritic tree generation and explain its validation against experimental data. This protocol is applicable to any species, developmental stage, brain region, cell class, branching process, and signal type. For complete details on the use and execution of this protocol, please refer to Nanda et al. (2020). |
format | Online Article Text |
id | pubmed-8188613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81886132021-06-17 An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology Nanda, Sumit Bhattacharjee, Shatabdi Cox, Daniel N. Ascoli, Giorgio A. STAR Protoc Protocol We describe how to reconstruct and quantify multi-signal neuronal morphology, using the dendritic distributions of microtubules and F-actin in sensory neurons from fly larvae as examples. We then provide a detailed procedure to analyze channel-specific morphometrics from these enhanced reconstructions. To illustrate applications, we demonstrate how to run a cytoskeleton-constrained simulation of dendritic tree generation and explain its validation against experimental data. This protocol is applicable to any species, developmental stage, brain region, cell class, branching process, and signal type. For complete details on the use and execution of this protocol, please refer to Nanda et al. (2020). Elsevier 2021-06-02 /pmc/articles/PMC8188613/ /pubmed/34151294 http://dx.doi.org/10.1016/j.xpro.2021.100567 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Nanda, Sumit Bhattacharjee, Shatabdi Cox, Daniel N. Ascoli, Giorgio A. An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology |
title | An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology |
title_full | An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology |
title_fullStr | An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology |
title_full_unstemmed | An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology |
title_short | An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology |
title_sort | imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188613/ https://www.ncbi.nlm.nih.gov/pubmed/34151294 http://dx.doi.org/10.1016/j.xpro.2021.100567 |
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