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High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system
Vertebrate brains have a dual structure, composed of (i) axons that can be well-captured with graph-theoretical methods and (ii) axons that form a dense matrix in which neurons with precise connections operate. A core part of this matrix is formed by axons (fibers) that store and release 5-hydroxytr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638127/ https://www.ncbi.nlm.nih.gov/pubmed/36353595 http://dx.doi.org/10.3389/fnins.2022.994735 |
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author | Hingorani, Melissa Viviani, Adele M. L. Sanfilippo, Jenna E. Janušonis, Skirmantas |
author_facet | Hingorani, Melissa Viviani, Adele M. L. Sanfilippo, Jenna E. Janušonis, Skirmantas |
author_sort | Hingorani, Melissa |
collection | PubMed |
description | Vertebrate brains have a dual structure, composed of (i) axons that can be well-captured with graph-theoretical methods and (ii) axons that form a dense matrix in which neurons with precise connections operate. A core part of this matrix is formed by axons (fibers) that store and release 5-hydroxytryptamine (5-HT, serotonin), an ancient neurotransmitter that supports neuroplasticity and has profound implications for mental health. The self-organization of the serotonergic matrix is not well understood, despite recent advances in experimental and theoretical approaches. In particular, individual serotonergic axons produce highly stochastic trajectories, fundamental to the construction of regional fiber densities, but further advances in predictive computer simulations require more accurate experimental information. This study examined single serotonergic axons in culture systems (co-cultures and monolayers), by using a set of complementary high-resolution methods: confocal microscopy, holotomography (refractive index-based live imaging), and super-resolution (STED) microscopy. It shows that serotonergic axon walks in neural tissue may strongly reflect the stochastic geometry of this tissue and it also provides new insights into the morphology and branching properties of serotonergic axons. The proposed experimental platform can support next-generation analyses of the serotonergic matrix, including seamless integration with supercomputing approaches. |
format | Online Article Text |
id | pubmed-9638127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96381272022-11-08 High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system Hingorani, Melissa Viviani, Adele M. L. Sanfilippo, Jenna E. Janušonis, Skirmantas Front Neurosci Neuroscience Vertebrate brains have a dual structure, composed of (i) axons that can be well-captured with graph-theoretical methods and (ii) axons that form a dense matrix in which neurons with precise connections operate. A core part of this matrix is formed by axons (fibers) that store and release 5-hydroxytryptamine (5-HT, serotonin), an ancient neurotransmitter that supports neuroplasticity and has profound implications for mental health. The self-organization of the serotonergic matrix is not well understood, despite recent advances in experimental and theoretical approaches. In particular, individual serotonergic axons produce highly stochastic trajectories, fundamental to the construction of regional fiber densities, but further advances in predictive computer simulations require more accurate experimental information. This study examined single serotonergic axons in culture systems (co-cultures and monolayers), by using a set of complementary high-resolution methods: confocal microscopy, holotomography (refractive index-based live imaging), and super-resolution (STED) microscopy. It shows that serotonergic axon walks in neural tissue may strongly reflect the stochastic geometry of this tissue and it also provides new insights into the morphology and branching properties of serotonergic axons. The proposed experimental platform can support next-generation analyses of the serotonergic matrix, including seamless integration with supercomputing approaches. Frontiers Media S.A. 2022-10-24 /pmc/articles/PMC9638127/ /pubmed/36353595 http://dx.doi.org/10.3389/fnins.2022.994735 Text en Copyright © 2022 Hingorani, Viviani, Sanfilippo and Janušonis. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Hingorani, Melissa Viviani, Adele M. L. Sanfilippo, Jenna E. Janušonis, Skirmantas High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system |
title | High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system |
title_full | High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system |
title_fullStr | High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system |
title_full_unstemmed | High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system |
title_short | High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system |
title_sort | high-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638127/ https://www.ncbi.nlm.nih.gov/pubmed/36353595 http://dx.doi.org/10.3389/fnins.2022.994735 |
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