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Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation
The mammalian brain is heterogeneous, containing billions of neurons and trillions of synapses forming various neural circuitries, through which sense, movement, thought, and emotion arise. The cellular heterogeneity of the brain has made it difficult to study the molecular logic of neural circuitry...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Higher Education Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791425/ https://www.ncbi.nlm.nih.gov/pubmed/26883038 http://dx.doi.org/10.1007/s13238-016-0247-8 |
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author | Chen, Xiaoying Zhang, Kunshan Zhou, Liqiang Gao, Xinpei Wang, Junbang Yao, Yinan He, Fei Luo, Yuping Yu, Yongchun Li, Siguang Cheng, Liming Sun, Yi E. |
author_facet | Chen, Xiaoying Zhang, Kunshan Zhou, Liqiang Gao, Xinpei Wang, Junbang Yao, Yinan He, Fei Luo, Yuping Yu, Yongchun Li, Siguang Cheng, Liming Sun, Yi E. |
author_sort | Chen, Xiaoying |
collection | PubMed |
description | The mammalian brain is heterogeneous, containing billions of neurons and trillions of synapses forming various neural circuitries, through which sense, movement, thought, and emotion arise. The cellular heterogeneity of the brain has made it difficult to study the molecular logic of neural circuitry wiring, pruning, activation, and plasticity, until recently, transcriptome analyses with single cell resolution makes decoding of gene regulatory networks underlying aforementioned circuitry properties possible. Here we report success in performing both electrophysiological and whole-genome transcriptome analyses on single human neurons in culture. Using Weighted Gene Coexpression Network Analyses (WGCNA), we identified gene clusters highly correlated with neuronal maturation judged by electrophysiological characteristics. A tight link between neuronal maturation and genes involved in ubiquitination and mitochondrial function was revealed. Moreover, we identified a list of candidate genes, which could potentially serve as biomarkers for neuronal maturation. Coupled electrophysiological recording and single cell transcriptome analysis will serve as powerful tools in the future to unveil molecular logics for neural circuitry functions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13238-016-0247-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4791425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Higher Education Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47914252016-04-09 Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation Chen, Xiaoying Zhang, Kunshan Zhou, Liqiang Gao, Xinpei Wang, Junbang Yao, Yinan He, Fei Luo, Yuping Yu, Yongchun Li, Siguang Cheng, Liming Sun, Yi E. Protein Cell Research Article The mammalian brain is heterogeneous, containing billions of neurons and trillions of synapses forming various neural circuitries, through which sense, movement, thought, and emotion arise. The cellular heterogeneity of the brain has made it difficult to study the molecular logic of neural circuitry wiring, pruning, activation, and plasticity, until recently, transcriptome analyses with single cell resolution makes decoding of gene regulatory networks underlying aforementioned circuitry properties possible. Here we report success in performing both electrophysiological and whole-genome transcriptome analyses on single human neurons in culture. Using Weighted Gene Coexpression Network Analyses (WGCNA), we identified gene clusters highly correlated with neuronal maturation judged by electrophysiological characteristics. A tight link between neuronal maturation and genes involved in ubiquitination and mitochondrial function was revealed. Moreover, we identified a list of candidate genes, which could potentially serve as biomarkers for neuronal maturation. Coupled electrophysiological recording and single cell transcriptome analysis will serve as powerful tools in the future to unveil molecular logics for neural circuitry functions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13238-016-0247-8) contains supplementary material, which is available to authorized users. Higher Education Press 2016-02-16 2016-03 /pmc/articles/PMC4791425/ /pubmed/26883038 http://dx.doi.org/10.1007/s13238-016-0247-8 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Article Chen, Xiaoying Zhang, Kunshan Zhou, Liqiang Gao, Xinpei Wang, Junbang Yao, Yinan He, Fei Luo, Yuping Yu, Yongchun Li, Siguang Cheng, Liming Sun, Yi E. Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
title | Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
title_full | Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
title_fullStr | Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
title_full_unstemmed | Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
title_short | Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
title_sort | coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791425/ https://www.ncbi.nlm.nih.gov/pubmed/26883038 http://dx.doi.org/10.1007/s13238-016-0247-8 |
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