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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...

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Detalles Bibliográficos
Autores principales: Nanda, Sumit, Bhattacharjee, Shatabdi, Cox, Daniel N., Ascoli, Giorgio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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).
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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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