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Precursor types predict the stability of neuronal branches

Branches are critical for neuron function, generating the morphological complexity required for functional networks. They emerge from different, well-described, cytoskeletal precursor structures that elongate to branches. While branches are thought to be maintained by shared cytoskeletal regulators,...

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Detalles Bibliográficos
Autores principales: Fuchs, Joachim, Eickholt, Britta J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714070/
https://www.ncbi.nlm.nih.gov/pubmed/34766183
http://dx.doi.org/10.1242/jcs.258983
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author Fuchs, Joachim
Eickholt, Britta J.
author_facet Fuchs, Joachim
Eickholt, Britta J.
author_sort Fuchs, Joachim
collection PubMed
description Branches are critical for neuron function, generating the morphological complexity required for functional networks. They emerge from different, well-described, cytoskeletal precursor structures that elongate to branches. While branches are thought to be maintained by shared cytoskeletal regulators, our data from mouse hippocampal neurons indicate that the precursor structures trigger alternative branch maintenance mechanisms with differing stabilities. Whereas branches originating from lamellipodia or growth cone splitting events collapse soon after formation, branches emerging from filopodia persist. Furthermore, compared to other developing neurites, axons stabilise all branches and preferentially initiate branches from filopodia. These differences explain the altered stability of branches we observe in neurons lacking the plasma membrane protein phospholipid phosphatase-related protein 3 (PLPPR3, also known as PRG2) and in neurons treated with netrin-1. Rather than altering branch stability directly, PLPPR3 and netrin-1 boost a ‘filopodia branch programme’ on axons, thereby indirectly initiating more long-lived branches. In summary, we propose that studies on branching should distinguish overall stabilising effects from effects on precursor types, ideally using multifactorial statistical models, as exemplified in this study.
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spelling pubmed-87140702022-01-12 Precursor types predict the stability of neuronal branches Fuchs, Joachim Eickholt, Britta J. J Cell Sci Research Article Branches are critical for neuron function, generating the morphological complexity required for functional networks. They emerge from different, well-described, cytoskeletal precursor structures that elongate to branches. While branches are thought to be maintained by shared cytoskeletal regulators, our data from mouse hippocampal neurons indicate that the precursor structures trigger alternative branch maintenance mechanisms with differing stabilities. Whereas branches originating from lamellipodia or growth cone splitting events collapse soon after formation, branches emerging from filopodia persist. Furthermore, compared to other developing neurites, axons stabilise all branches and preferentially initiate branches from filopodia. These differences explain the altered stability of branches we observe in neurons lacking the plasma membrane protein phospholipid phosphatase-related protein 3 (PLPPR3, also known as PRG2) and in neurons treated with netrin-1. Rather than altering branch stability directly, PLPPR3 and netrin-1 boost a ‘filopodia branch programme’ on axons, thereby indirectly initiating more long-lived branches. In summary, we propose that studies on branching should distinguish overall stabilising effects from effects on precursor types, ideally using multifactorial statistical models, as exemplified in this study. The Company of Biologists Ltd 2021-12-06 /pmc/articles/PMC8714070/ /pubmed/34766183 http://dx.doi.org/10.1242/jcs.258983 Text en © 2021. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Article
Fuchs, Joachim
Eickholt, Britta J.
Precursor types predict the stability of neuronal branches
title Precursor types predict the stability of neuronal branches
title_full Precursor types predict the stability of neuronal branches
title_fullStr Precursor types predict the stability of neuronal branches
title_full_unstemmed Precursor types predict the stability of neuronal branches
title_short Precursor types predict the stability of neuronal branches
title_sort precursor types predict the stability of neuronal branches
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714070/
https://www.ncbi.nlm.nih.gov/pubmed/34766183
http://dx.doi.org/10.1242/jcs.258983
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