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Modeling the functional genomics of autism using human neurons

Human neural progenitors from a variety of sources present new opportunities to model aspects of human neuropsychiatric disease in vitro. Such in vitro models provide the advantages of a human genetic background, combined with rapid and easy manipulation, making them highly useful adjuncts to animal...

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Autores principales: Konopka, Genevieve, Wexler, Eric, Rosen, Ezra, Mukamel, Zohar, Osborn, Gregory E., Chen, Leslie, Lu, Daning, Gao, Fuying, Gao, Kun, Lowe, Jennifer K., Geschwind, Daniel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170664/
https://www.ncbi.nlm.nih.gov/pubmed/21647150
http://dx.doi.org/10.1038/mp.2011.60
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author Konopka, Genevieve
Wexler, Eric
Rosen, Ezra
Mukamel, Zohar
Osborn, Gregory E.
Chen, Leslie
Lu, Daning
Gao, Fuying
Gao, Kun
Lowe, Jennifer K.
Geschwind, Daniel H.
author_facet Konopka, Genevieve
Wexler, Eric
Rosen, Ezra
Mukamel, Zohar
Osborn, Gregory E.
Chen, Leslie
Lu, Daning
Gao, Fuying
Gao, Kun
Lowe, Jennifer K.
Geschwind, Daniel H.
author_sort Konopka, Genevieve
collection PubMed
description Human neural progenitors from a variety of sources present new opportunities to model aspects of human neuropsychiatric disease in vitro. Such in vitro models provide the advantages of a human genetic background, combined with rapid and easy manipulation, making them highly useful adjuncts to animal models. Here, we examined whether a human neuronal culture system could be utilized to assess the transcriptional program involved in human neural differentiation and in modeling some of the molecular features of a neurodevelopmental disorder, such as autism. Primary normal human neuronal progenitors (NHNPs) were differentiated into a post-mitotic neuronal state through addition of specific growth factors and whole-genome gene expression was examined throughout a time course of neuronal differentiation. After four weeks of differentiation, a significant number of genes associated with autism spectrum disorders (ASD) are either induced or repressed. This includes the ASD susceptibility gene neurexin 1, which showed a distinct pattern from neurexin 3 in vitro, and which we validated in vivo in fetal human brain. Using weighted gene co-expression network analysis (WGCNA), we visualized the network structure of transcriptional regulation, demonstrating via this unbiased analysis that a significant number of ASD candidate genes are coordinately regulated during the differentiation process. Since NHNPs are genetically tractable and manipulable, they can be used to study both the effects of mutations in multiple ASD candidate genes on neuronal differentiation and gene expression in combination with the effects of potential therapeutic molecules. These data also provide a step towards better understanding of the signaling pathways disrupted in ASD.
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spelling pubmed-31706642012-08-01 Modeling the functional genomics of autism using human neurons Konopka, Genevieve Wexler, Eric Rosen, Ezra Mukamel, Zohar Osborn, Gregory E. Chen, Leslie Lu, Daning Gao, Fuying Gao, Kun Lowe, Jennifer K. Geschwind, Daniel H. Mol Psychiatry Article Human neural progenitors from a variety of sources present new opportunities to model aspects of human neuropsychiatric disease in vitro. Such in vitro models provide the advantages of a human genetic background, combined with rapid and easy manipulation, making them highly useful adjuncts to animal models. Here, we examined whether a human neuronal culture system could be utilized to assess the transcriptional program involved in human neural differentiation and in modeling some of the molecular features of a neurodevelopmental disorder, such as autism. Primary normal human neuronal progenitors (NHNPs) were differentiated into a post-mitotic neuronal state through addition of specific growth factors and whole-genome gene expression was examined throughout a time course of neuronal differentiation. After four weeks of differentiation, a significant number of genes associated with autism spectrum disorders (ASD) are either induced or repressed. This includes the ASD susceptibility gene neurexin 1, which showed a distinct pattern from neurexin 3 in vitro, and which we validated in vivo in fetal human brain. Using weighted gene co-expression network analysis (WGCNA), we visualized the network structure of transcriptional regulation, demonstrating via this unbiased analysis that a significant number of ASD candidate genes are coordinately regulated during the differentiation process. Since NHNPs are genetically tractable and manipulable, they can be used to study both the effects of mutations in multiple ASD candidate genes on neuronal differentiation and gene expression in combination with the effects of potential therapeutic molecules. These data also provide a step towards better understanding of the signaling pathways disrupted in ASD. 2011-06-07 2012-02 /pmc/articles/PMC3170664/ /pubmed/21647150 http://dx.doi.org/10.1038/mp.2011.60 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Konopka, Genevieve
Wexler, Eric
Rosen, Ezra
Mukamel, Zohar
Osborn, Gregory E.
Chen, Leslie
Lu, Daning
Gao, Fuying
Gao, Kun
Lowe, Jennifer K.
Geschwind, Daniel H.
Modeling the functional genomics of autism using human neurons
title Modeling the functional genomics of autism using human neurons
title_full Modeling the functional genomics of autism using human neurons
title_fullStr Modeling the functional genomics of autism using human neurons
title_full_unstemmed Modeling the functional genomics of autism using human neurons
title_short Modeling the functional genomics of autism using human neurons
title_sort modeling the functional genomics of autism using human neurons
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170664/
https://www.ncbi.nlm.nih.gov/pubmed/21647150
http://dx.doi.org/10.1038/mp.2011.60
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