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Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology

Autism spectrum disorder (ASD) is a common, highly heritable neuro-developmental condition characterized by marked genetic heterogeneity(1–3). Thus, a fundamental question is whether autism represents an etiologically heterogeneous disorder in which the myriad genetic or environmental risk factors p...

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Autores principales: Voineagu, Irina, Wang, Xinchen, Johnston, Patrick, Lowe, Jennifer K., Tian, Yuan, Horvath, Steve, Mill, Jonathan, Cantor, Rita, Blencowe, Benjamin J., Geschwind, Daniel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607626/
https://www.ncbi.nlm.nih.gov/pubmed/21614001
http://dx.doi.org/10.1038/nature10110
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author Voineagu, Irina
Wang, Xinchen
Johnston, Patrick
Lowe, Jennifer K.
Tian, Yuan
Horvath, Steve
Mill, Jonathan
Cantor, Rita
Blencowe, Benjamin J.
Geschwind, Daniel H.
author_facet Voineagu, Irina
Wang, Xinchen
Johnston, Patrick
Lowe, Jennifer K.
Tian, Yuan
Horvath, Steve
Mill, Jonathan
Cantor, Rita
Blencowe, Benjamin J.
Geschwind, Daniel H.
author_sort Voineagu, Irina
collection PubMed
description Autism spectrum disorder (ASD) is a common, highly heritable neuro-developmental condition characterized by marked genetic heterogeneity(1–3). Thus, a fundamental question is whether autism represents an etiologically heterogeneous disorder in which the myriad genetic or environmental risk factors perturb common underlying molecular pathways in the brain(4). Here, we demonstrate consistent differences in transcriptome organization between autistic and normal brain by gene co-expression network analysis. Remarkably, regional patterns of gene expression that typically distinguish frontal and temporal cortex are significantly attenuated in the ASD brain, suggesting abnormalities in cortical patterning. We further identify discrete modules of co-expressed genes associated with autism: a neuronal module enriched for known autism susceptibility genes, including the neuronal specific splicing factor A2BP1/FOX1, and a module enriched for immune genes and glial markers. Using high-throughput RNA-sequencing we demonstrate dysregulated splicing of A2BP1-dependent alternative exons in ASD brain. Moreover, using a published autism GWAS dataset, we show that the neuronal module is enriched for genetically associated variants, providing independent support for the causal involvement of these genes in autism. In contrast, the immune-glial module showed no enrichment for autism GWAS signals, indicating a non-genetic etiology for this process. Collectively, our results provide strong evidence for convergent molecular abnormalities in ASD, and implicate transcriptional and splicing dysregulation as underlying mechanisms of neuronal dysfunction in this disorder.
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spelling pubmed-36076262013-03-25 Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology Voineagu, Irina Wang, Xinchen Johnston, Patrick Lowe, Jennifer K. Tian, Yuan Horvath, Steve Mill, Jonathan Cantor, Rita Blencowe, Benjamin J. Geschwind, Daniel H. Nature Article Autism spectrum disorder (ASD) is a common, highly heritable neuro-developmental condition characterized by marked genetic heterogeneity(1–3). Thus, a fundamental question is whether autism represents an etiologically heterogeneous disorder in which the myriad genetic or environmental risk factors perturb common underlying molecular pathways in the brain(4). Here, we demonstrate consistent differences in transcriptome organization between autistic and normal brain by gene co-expression network analysis. Remarkably, regional patterns of gene expression that typically distinguish frontal and temporal cortex are significantly attenuated in the ASD brain, suggesting abnormalities in cortical patterning. We further identify discrete modules of co-expressed genes associated with autism: a neuronal module enriched for known autism susceptibility genes, including the neuronal specific splicing factor A2BP1/FOX1, and a module enriched for immune genes and glial markers. Using high-throughput RNA-sequencing we demonstrate dysregulated splicing of A2BP1-dependent alternative exons in ASD brain. Moreover, using a published autism GWAS dataset, we show that the neuronal module is enriched for genetically associated variants, providing independent support for the causal involvement of these genes in autism. In contrast, the immune-glial module showed no enrichment for autism GWAS signals, indicating a non-genetic etiology for this process. Collectively, our results provide strong evidence for convergent molecular abnormalities in ASD, and implicate transcriptional and splicing dysregulation as underlying mechanisms of neuronal dysfunction in this disorder. 2011-05-25 /pmc/articles/PMC3607626/ /pubmed/21614001 http://dx.doi.org/10.1038/nature10110 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
Voineagu, Irina
Wang, Xinchen
Johnston, Patrick
Lowe, Jennifer K.
Tian, Yuan
Horvath, Steve
Mill, Jonathan
Cantor, Rita
Blencowe, Benjamin J.
Geschwind, Daniel H.
Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
title Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
title_full Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
title_fullStr Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
title_full_unstemmed Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
title_short Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
title_sort transcriptomic analysis of autistic brain reveals convergent molecular pathology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607626/
https://www.ncbi.nlm.nih.gov/pubmed/21614001
http://dx.doi.org/10.1038/nature10110
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