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Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping

Sleep and sleep loss are thought to impact synaptic plasticity, and recent studies have shown that sleep and sleep deprivation (SD) differentially affect gene transcription and protein translation in the mammalian forebrain. However, much less is known regarding how sleep and SD affect these process...

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Autores principales: Puentes-Mestril, Carlos, Delorme, James, Wang, Lijing, Donnelly, Marcus, Popke, Donald, Jiang, Sha, Aton, Sara J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221591/
https://www.ncbi.nlm.nih.gov/pubmed/34001629
http://dx.doi.org/10.1523/JNEUROSCI.1883-20.2021
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author Puentes-Mestril, Carlos
Delorme, James
Wang, Lijing
Donnelly, Marcus
Popke, Donald
Jiang, Sha
Aton, Sara J.
author_facet Puentes-Mestril, Carlos
Delorme, James
Wang, Lijing
Donnelly, Marcus
Popke, Donald
Jiang, Sha
Aton, Sara J.
author_sort Puentes-Mestril, Carlos
collection PubMed
description Sleep and sleep loss are thought to impact synaptic plasticity, and recent studies have shown that sleep and sleep deprivation (SD) differentially affect gene transcription and protein translation in the mammalian forebrain. However, much less is known regarding how sleep and SD affect these processes in different microcircuit elements within the hippocampus and neocortex, for example, in inhibitory versus excitatory neurons. Here, we use translating ribosome affinity purification (TRAP) and in situ hybridization to characterize the effects of sleep versus SD on abundance of ribosome-associated transcripts in Camk2a-expressing (Camk2a(+)) pyramidal neurons and parvalbumin-expressing (PV(+)) interneurons in the hippocampus and neocortex of male mice. We find that while both Camk2a(+) neurons and PV(+) interneurons in neocortex show concurrent SD-driven increases in ribosome-associated transcripts for activity-regulated effectors of plasticity and transcriptional regulation, these transcripts are minimally affected by SD in hippocampus. Similarly, we find that while SD alters several ribosome-associated transcripts involved in cellular timekeeping in neocortical Camk2a(+) and PV(+) neurons, effects on circadian clock transcripts in hippocampus are minimal, and restricted to Camk2a(+) neurons. Taken together, our results indicate that SD effects on transcripts associated with translating ribosomes are both cell type-specific and brain region-specific, and that these effects are substantially more pronounced in the neocortex than the hippocampus. We conclude that SD-driven alterations in the strength of synapses, excitatory-inhibitory (E-I) balance, and cellular timekeeping are likely more heterogeneous than previously appreciated. SIGNIFICANCE STATEMENT Sleep loss-driven changes in transcript and protein abundance have been used as a means to better understand the function of sleep for the brain. Here, we use translating ribosome affinity purification (TRAP) to characterize changes in abundance of ribosome-associated transcripts in excitatory and inhibitory neurons in mouse hippocampus and neocortex after a brief period of sleep or sleep loss. We show that these changes are not uniform, but are generally more pronounced in excitatory neurons than inhibitory neurons, and more pronounced in neocortex than in hippocampus.
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spelling pubmed-82215912021-06-24 Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping Puentes-Mestril, Carlos Delorme, James Wang, Lijing Donnelly, Marcus Popke, Donald Jiang, Sha Aton, Sara J. J Neurosci Research Articles Sleep and sleep loss are thought to impact synaptic plasticity, and recent studies have shown that sleep and sleep deprivation (SD) differentially affect gene transcription and protein translation in the mammalian forebrain. However, much less is known regarding how sleep and SD affect these processes in different microcircuit elements within the hippocampus and neocortex, for example, in inhibitory versus excitatory neurons. Here, we use translating ribosome affinity purification (TRAP) and in situ hybridization to characterize the effects of sleep versus SD on abundance of ribosome-associated transcripts in Camk2a-expressing (Camk2a(+)) pyramidal neurons and parvalbumin-expressing (PV(+)) interneurons in the hippocampus and neocortex of male mice. We find that while both Camk2a(+) neurons and PV(+) interneurons in neocortex show concurrent SD-driven increases in ribosome-associated transcripts for activity-regulated effectors of plasticity and transcriptional regulation, these transcripts are minimally affected by SD in hippocampus. Similarly, we find that while SD alters several ribosome-associated transcripts involved in cellular timekeeping in neocortical Camk2a(+) and PV(+) neurons, effects on circadian clock transcripts in hippocampus are minimal, and restricted to Camk2a(+) neurons. Taken together, our results indicate that SD effects on transcripts associated with translating ribosomes are both cell type-specific and brain region-specific, and that these effects are substantially more pronounced in the neocortex than the hippocampus. We conclude that SD-driven alterations in the strength of synapses, excitatory-inhibitory (E-I) balance, and cellular timekeeping are likely more heterogeneous than previously appreciated. SIGNIFICANCE STATEMENT Sleep loss-driven changes in transcript and protein abundance have been used as a means to better understand the function of sleep for the brain. Here, we use translating ribosome affinity purification (TRAP) to characterize changes in abundance of ribosome-associated transcripts in excitatory and inhibitory neurons in mouse hippocampus and neocortex after a brief period of sleep or sleep loss. We show that these changes are not uniform, but are generally more pronounced in excitatory neurons than inhibitory neurons, and more pronounced in neocortex than in hippocampus. Society for Neuroscience 2021-06-23 /pmc/articles/PMC8221591/ /pubmed/34001629 http://dx.doi.org/10.1523/JNEUROSCI.1883-20.2021 Text en Copyright © 2021 Puentes-Mestril et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International 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 Articles
Puentes-Mestril, Carlos
Delorme, James
Wang, Lijing
Donnelly, Marcus
Popke, Donald
Jiang, Sha
Aton, Sara J.
Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping
title Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping
title_full Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping
title_fullStr Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping
title_full_unstemmed Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping
title_short Sleep Loss Drives Brain Region-Specific and Cell Type-Specific Alterations in Ribosome-Associated Transcripts Involved in Synaptic Plasticity and Cellular Timekeeping
title_sort sleep loss drives brain region-specific and cell type-specific alterations in ribosome-associated transcripts involved in synaptic plasticity and cellular timekeeping
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221591/
https://www.ncbi.nlm.nih.gov/pubmed/34001629
http://dx.doi.org/10.1523/JNEUROSCI.1883-20.2021
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