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Single-cell transcriptomic evidence for dense intracortical neuropeptide networks

Seeking new insights into the homeostasis, modulation and plasticity of cortical synaptic networks, we have analyzed results from a single-cell RNA-seq study of 22,439 mouse neocortical neurons. Our analysis exposes transcriptomic evidence for dozens of molecularly distinct neuropeptidergic modulato...

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Autores principales: Smith, Stephen J, Sümbül, Uygar, Graybuck, Lucas T, Collman, Forrest, Seshamani, Sharmishtaa, Gala, Rohan, Gliko, Olga, Elabbady, Leila, Miller, Jeremy A, Bakken, Trygve E, Rossier, Jean, Yao, Zizhen, Lein, Ed, Zeng, Hongkui, Tasic, Bosiljka, Hawrylycz, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881117/
https://www.ncbi.nlm.nih.gov/pubmed/31710287
http://dx.doi.org/10.7554/eLife.47889
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author Smith, Stephen J
Sümbül, Uygar
Graybuck, Lucas T
Collman, Forrest
Seshamani, Sharmishtaa
Gala, Rohan
Gliko, Olga
Elabbady, Leila
Miller, Jeremy A
Bakken, Trygve E
Rossier, Jean
Yao, Zizhen
Lein, Ed
Zeng, Hongkui
Tasic, Bosiljka
Hawrylycz, Michael
author_facet Smith, Stephen J
Sümbül, Uygar
Graybuck, Lucas T
Collman, Forrest
Seshamani, Sharmishtaa
Gala, Rohan
Gliko, Olga
Elabbady, Leila
Miller, Jeremy A
Bakken, Trygve E
Rossier, Jean
Yao, Zizhen
Lein, Ed
Zeng, Hongkui
Tasic, Bosiljka
Hawrylycz, Michael
author_sort Smith, Stephen J
collection PubMed
description Seeking new insights into the homeostasis, modulation and plasticity of cortical synaptic networks, we have analyzed results from a single-cell RNA-seq study of 22,439 mouse neocortical neurons. Our analysis exposes transcriptomic evidence for dozens of molecularly distinct neuropeptidergic modulatory networks that directly interconnect all cortical neurons. This evidence begins with a discovery that transcripts of one or more neuropeptide precursor (NPP) and one or more neuropeptide-selective G-protein-coupled receptor (NP-GPCR) genes are highly abundant in all, or very nearly all, cortical neurons. Individual neurons express diverse subsets of NP signaling genes from palettes encoding 18 NPPs and 29 NP-GPCRs. These 47 genes comprise 37 cognate NPP/NP-GPCR pairs, implying the likelihood of local neuropeptide signaling. Here, we use neuron-type-specific patterns of NP gene expression to offer specific, testable predictions regarding 37 peptidergic neuromodulatory networks that may play prominent roles in cortical homeostasis and plasticity.
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spelling pubmed-68811172019-11-29 Single-cell transcriptomic evidence for dense intracortical neuropeptide networks Smith, Stephen J Sümbül, Uygar Graybuck, Lucas T Collman, Forrest Seshamani, Sharmishtaa Gala, Rohan Gliko, Olga Elabbady, Leila Miller, Jeremy A Bakken, Trygve E Rossier, Jean Yao, Zizhen Lein, Ed Zeng, Hongkui Tasic, Bosiljka Hawrylycz, Michael eLife Neuroscience Seeking new insights into the homeostasis, modulation and plasticity of cortical synaptic networks, we have analyzed results from a single-cell RNA-seq study of 22,439 mouse neocortical neurons. Our analysis exposes transcriptomic evidence for dozens of molecularly distinct neuropeptidergic modulatory networks that directly interconnect all cortical neurons. This evidence begins with a discovery that transcripts of one or more neuropeptide precursor (NPP) and one or more neuropeptide-selective G-protein-coupled receptor (NP-GPCR) genes are highly abundant in all, or very nearly all, cortical neurons. Individual neurons express diverse subsets of NP signaling genes from palettes encoding 18 NPPs and 29 NP-GPCRs. These 47 genes comprise 37 cognate NPP/NP-GPCR pairs, implying the likelihood of local neuropeptide signaling. Here, we use neuron-type-specific patterns of NP gene expression to offer specific, testable predictions regarding 37 peptidergic neuromodulatory networks that may play prominent roles in cortical homeostasis and plasticity. eLife Sciences Publications, Ltd 2019-11-11 /pmc/articles/PMC6881117/ /pubmed/31710287 http://dx.doi.org/10.7554/eLife.47889 Text en © 2019, Smith et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Smith, Stephen J
Sümbül, Uygar
Graybuck, Lucas T
Collman, Forrest
Seshamani, Sharmishtaa
Gala, Rohan
Gliko, Olga
Elabbady, Leila
Miller, Jeremy A
Bakken, Trygve E
Rossier, Jean
Yao, Zizhen
Lein, Ed
Zeng, Hongkui
Tasic, Bosiljka
Hawrylycz, Michael
Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
title Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
title_full Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
title_fullStr Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
title_full_unstemmed Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
title_short Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
title_sort single-cell transcriptomic evidence for dense intracortical neuropeptide networks
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881117/
https://www.ncbi.nlm.nih.gov/pubmed/31710287
http://dx.doi.org/10.7554/eLife.47889
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