Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1782211659918475264 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3170664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT konopkagenevieve modelingthefunctionalgenomicsofautismusinghumanneurons AT wexlereric modelingthefunctionalgenomicsofautismusinghumanneurons AT rosenezra modelingthefunctionalgenomicsofautismusinghumanneurons AT mukamelzohar modelingthefunctionalgenomicsofautismusinghumanneurons AT osborngregorye modelingthefunctionalgenomicsofautismusinghumanneurons AT chenleslie modelingthefunctionalgenomicsofautismusinghumanneurons AT ludaning modelingthefunctionalgenomicsofautismusinghumanneurons AT gaofuying modelingthefunctionalgenomicsofautismusinghumanneurons AT gaokun modelingthefunctionalgenomicsofautismusinghumanneurons AT lowejenniferk modelingthefunctionalgenomicsofautismusinghumanneurons AT geschwinddanielh modelingthefunctionalgenomicsofautismusinghumanneurons |