Twelvetrees, A. orcid.org/0000-0002-1796-1508 (2020) The lifecycle of the neuronal microtubule transport machinery. Seminars in Cell and Developmental Biology, 107. pp. 74-81. ISSN 1084-9521
Abstract
Neurons are incredibly reliant on their cytoskeletal transport machinery. During development the cytoskeleton is the primary driver of growth and remodelling. In mature neurons the cytoskeleton keeps all components in a constant state of movement, allowing both supply of newly synthesized proteins to distal locations as well as the removal of aging proteins and organelles for recycling or degradation. This process is most challenging within axons as large distances need to be covered between synthesis and degradation, but it is essential as the lifetime of any single protein is much shorter than the lifetime of the neuron and its synapses. However, the transport machinery itself also has to be actively transported, recycled and degraded in order to localise properly and perform within neurons. This review provides an overview of the lifecycle of cytoskeletal components in neurons, focusing on its spatial organisation over time in the axon.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier Ltd. This is an author produced version of a paper subsequently published in Seminars in Cell and Developmental Biology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | cytoskeleton; microtubule motors; neuronal cell biology; axonal transport; slow transport; local translation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Mar 2020 14:37 |
Last Modified: | 03 Dec 2021 17:11 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.semcdb.2020.02.008 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158173 |
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