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Co-expression Profiling of Autism Genes in the Mouse Brain
Autism spectrum disorder (ASD) is one of the most prevalent and highly heritable neurodevelopmental disorders in humans. There is significant evidence that the onset and severity of ASD is governed in part by complex genetic mechanisms affecting the normal development of the brain. To date, a number...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723491/ https://www.ncbi.nlm.nih.gov/pubmed/23935468 http://dx.doi.org/10.1371/journal.pcbi.1003128 |
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author | Menashe, Idan Grange, Pascal Larsen, Eric C. Banerjee-Basu, Sharmila Mitra, Partha P. |
author_facet | Menashe, Idan Grange, Pascal Larsen, Eric C. Banerjee-Basu, Sharmila Mitra, Partha P. |
author_sort | Menashe, Idan |
collection | PubMed |
description | Autism spectrum disorder (ASD) is one of the most prevalent and highly heritable neurodevelopmental disorders in humans. There is significant evidence that the onset and severity of ASD is governed in part by complex genetic mechanisms affecting the normal development of the brain. To date, a number of genes have been associated with ASD. However, the temporal and spatial co-expression of these genes in the brain remain unclear. To address this issue, we examined the co-expression network of 26 autism genes from AutDB (http://mindspec.org/autdb.html), in the framework of 3,041 genes whose expression energies have the highest correlation between the coronal and sagittal images from the Allen Mouse Brain Atlas database (http://mouse.brain-map.org). These data were derived from in situ hybridization experiments conducted on male, 56-day old C57BL/6J mice co-registered to the Allen Reference Atlas, and were used to generate a normalized co-expression matrix indicating the cosine similarity between expression vectors of genes in this database. The network formed by the autism-associated genes showed a higher degree of co-expression connectivity than seen for the other genes in this dataset (Kolmogorov–Smirnov P = 5×10(−28)). Using Monte Carlo simulations, we identified two cliques of co-expressed genes that were significantly enriched with autism genes (A Bonferroni corrected P<0.05). Genes in both these cliques were significantly over-expressed in the cerebellar cortex (P = 1×10(−5)) suggesting possible implication of this brain region in autism. In conclusion, our study provides a detailed profiling of co-expression patterns of autism genes in the mouse brain, and suggests specific brain regions and new candidate genes that could be involved in autism etiology. |
format | Online Article Text |
id | pubmed-3723491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37234912013-08-09 Co-expression Profiling of Autism Genes in the Mouse Brain Menashe, Idan Grange, Pascal Larsen, Eric C. Banerjee-Basu, Sharmila Mitra, Partha P. PLoS Comput Biol Research Article Autism spectrum disorder (ASD) is one of the most prevalent and highly heritable neurodevelopmental disorders in humans. There is significant evidence that the onset and severity of ASD is governed in part by complex genetic mechanisms affecting the normal development of the brain. To date, a number of genes have been associated with ASD. However, the temporal and spatial co-expression of these genes in the brain remain unclear. To address this issue, we examined the co-expression network of 26 autism genes from AutDB (http://mindspec.org/autdb.html), in the framework of 3,041 genes whose expression energies have the highest correlation between the coronal and sagittal images from the Allen Mouse Brain Atlas database (http://mouse.brain-map.org). These data were derived from in situ hybridization experiments conducted on male, 56-day old C57BL/6J mice co-registered to the Allen Reference Atlas, and were used to generate a normalized co-expression matrix indicating the cosine similarity between expression vectors of genes in this database. The network formed by the autism-associated genes showed a higher degree of co-expression connectivity than seen for the other genes in this dataset (Kolmogorov–Smirnov P = 5×10(−28)). Using Monte Carlo simulations, we identified two cliques of co-expressed genes that were significantly enriched with autism genes (A Bonferroni corrected P<0.05). Genes in both these cliques were significantly over-expressed in the cerebellar cortex (P = 1×10(−5)) suggesting possible implication of this brain region in autism. In conclusion, our study provides a detailed profiling of co-expression patterns of autism genes in the mouse brain, and suggests specific brain regions and new candidate genes that could be involved in autism etiology. Public Library of Science 2013-07-25 /pmc/articles/PMC3723491/ /pubmed/23935468 http://dx.doi.org/10.1371/journal.pcbi.1003128 Text en © 2013 Menashe et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Menashe, Idan Grange, Pascal Larsen, Eric C. Banerjee-Basu, Sharmila Mitra, Partha P. Co-expression Profiling of Autism Genes in the Mouse Brain |
title | Co-expression Profiling of Autism Genes in the Mouse Brain |
title_full | Co-expression Profiling of Autism Genes in the Mouse Brain |
title_fullStr | Co-expression Profiling of Autism Genes in the Mouse Brain |
title_full_unstemmed | Co-expression Profiling of Autism Genes in the Mouse Brain |
title_short | Co-expression Profiling of Autism Genes in the Mouse Brain |
title_sort | co-expression profiling of autism genes in the mouse brain |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723491/ https://www.ncbi.nlm.nih.gov/pubmed/23935468 http://dx.doi.org/10.1371/journal.pcbi.1003128 |
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