Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783473886006870016 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6881117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT smithstephenj singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT sumbuluygar singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT graybucklucast singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT collmanforrest singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT seshamanisharmishtaa singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT galarohan singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT glikoolga singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT elabbadyleila singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT millerjeremya singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT bakkentrygvee singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT rossierjean singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT yaozizhen singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT leined singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT zenghongkui singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT tasicbosiljka singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks AT hawrylyczmichael singlecelltranscriptomicevidencefordenseintracorticalneuropeptidenetworks |