Whole genome sequencing of ASD quartet families
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ABSTRACT:
PROVIDER: EGAS00001001023 | EGA |
REPOSITORIES: EGA
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Project description:Autism spectrum disorder (ASD) affects these core domains: ritualistic-repetitive behaviors, impaired social interaction, and deficits in non-verbal communication/language development. Although ASD is heritable, its extreme heterogeneity defies genetic analyses. A number of ASD susceptibility genes have been identified. The Lebanese population is ideal for uncovering recessive genes because of a high rate of shared ancestry, consanguineous marriages, and high number of offspring per family. We recruited 36 ASD families (ASD: 37, unaffected parents: 36, unaffected siblings: 33). Cytogenetics 2.7M Microarrays/CytoScan⢠HD arrays allowed mapping of homozygous regions of the genome.
2017-07-24 | E-MTAB-4963 | biostudies-arrayexpress
Project description:Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by abnormalities in reciprocal social interactions and language development and/or usage, and by restricted interests and repetitive behaviors. Differential gene expression of neurologically relevant genes in lymphoblastoid cell lines from monozygotic twins discordant in diagnosis or severity of autism suggested that epigenetic factors such as DNA methylation or microRNAs (miRNAs) may be involved in ASD. The goal of this study was to reveal dysregulation in miRNA levels that are inversely correlated with altered levels of target genes that, in turn, may be associated with the underlying pathophysiology of ASD, and to provide a better understanding of the role of miRNAs as a post-transcriptional gene regulatory mechanism associated with ASD. Lymphoblastoid cell lines (LCLs) derived from peripheral lymphocytes of 14 male subjects were obtained from the Autism Genetic Resource Exchange (AGRE, Los Angeles, CA). The subjects included three pairs of monozygotic twins discordant for diagnosis of autism, a normal sibling for 2 of the twin pairs, two pairs of autistic and unaffected siblings, and a pair of normal monozygotic twins. Global miRNA expression profiling of these LCLs was performed using high-throughput miRNA microarray analysis. A reference design was used for microarray hybridization in this study. The sample miRNAs were coupled with Cy3, whereas the common reference miRNA was coupled with Cy5, and two-colored miRNA microarray analyses were carried out by cohybridizing an equal amount of both miRNA samples onto one slide. Selected differentially expressed miRNAs were confirmed by quantitative RT-PCR, and the putative target genes of two of the confirmed miRNAs were validated by knockdown and overexpression of the respective miRNAs.
2010-04-09 | E-GEOD-21086 | biostudies-arrayexpress
Project description:DNA from ectodermal cells of individuals with an Autism Spectrum Disorder born to mothers aged 35 and older was analzyed for discovery of differentially methylated regions and comethylation modules associated with ASD DNA from 48 individuals with ASD and DNA from 48 typically developing controls (all born to mothers older than 35) was isolated, bisulphite converte, and hybridized to the Illumina 450K array.
2014-05-05 | E-GEOD-50759 | biostudies-arrayexpress
Project description:DNA from ectodermal cells of individuals with an Autism Spectrum Disorder born to mothers aged 35 and older was analzyed for discovery of differentially methylated regions and comethylation modules associated with ASD
2014-05-05 | GSE50759 | GEO
Project description:Autism Spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder where patients have impaired social behavior and communication, and restricted interests. Although various studies have been carried out to unveil the mechanisms associated with ASD, its pathophysiology is still poorly understood. Genetic variants on CNTNAP2 have been found and considered representative ASD genetic risk factors, and disruption of Cntnap2 causes ASD phenotypes in mice. Here, we performed an integrative multi-omics analysis by combining quantitative proteometabolomics data of Cntnap2 knockout (KO) mice with multi-omics data from ASD patients and forebrain organoids to elucidate Cntnap2-dependent molecular networks of ASD. First, we found Cntnap2-associated molecular signatures and cellular processes by conducting mass spectrometry-based proteometabolomic analysis of the medial prefrontal cortex of the Cntnap2 KO mouse model. Then, we narrowed these identified processes into bona fide ASD molecular processes by incorporating multi-omics data of ASD patients' prefrontal cortex. Further, we mapped cell-type-specific ASD networks by reanalyzing single-cell RNA-seq data of forebrain organoids derived from patients with CNTNAP2 mutation. Finally, we constructed a Cntnap2-associated ASD network model consisting of mitochondrial dysfunction, axonal impairment, and synaptic activity. Our results may shed light on understanding of the Cntnap2-dependent molecular networks of ASD.
2023-03-11 | PXD031656 | Pride
Project description:Austism spectrum disorder (ASD) is a heterogeneous behavioral disease most commonly characterized by severe impairment of social engagement and the presence of repetitive activities. The molecular etiology of ASD is still largely unknown despite a strong genetic component. Part of the difficulty in turning genetics into disease mechanisms and potentially new therapeutics is the sheer number and diversity of the genes that have been associated with ASD and ASD symptoms. The goal of this work is to use shRNA-generated models of genetic defects proposed as causative for ASD to identify the common pathways that might explain how they produce a common clinical outcome. Transcript levels of Mecp2, Mef2a, Mef2d, Fmr1, Nlgn1, Nlgn3, Pten, and Shank3 were knocked-down in mouse primary neuron cultures using shRNA/lentivirus constructs. Whole genome expression analysis was conducted for each of the knock-down cultures as well as a mock-transduced culture and a culture exposed to a lentivirus expressing luciferase. Gene set enrichment and a causal reasoning engine were employed to indentify pathway level perturbations generated by the transcript knock-down. Quantitation of the shRNA targets confirmed the successful knock-down at the transcript and protein levels of at least 75% for each of the genes. After subtracting out potential artifacts caused by transfection and viral infection, gene set enrichment and causal reasoning engine analysis showed that a significant number of gene expression changes mapped to pathways associated with neurogenesis, long-term potentiation, and synaptic activity. This work demonstrates that despite the complex genetic nature of ASD, there are common molecular mechanisms that connect many of the best established autism candidate genes. By identifying the key regulatory checkpoints in the interlinking transcriptional networks underlying autism, we are better able to discover the ideal points of intervention that provide the broadest efficacy across the diverse population of autism patients. n=4 per group. Luciferase shRNA used as control group for shRNA to various gene targets.
2013-05-23 | E-GEOD-47150 | biostudies-arrayexpress
Project description:Background: Transcriptome analysis has been used in autism spectrum disorder (ASD) to unravel common pathogenic pathways based on the assumption that distinct rare genetic variants or epigenetic modifications affect common biological pathways dysregulated in ASD. To unravel recurrent ASD-related neuropathological mechanisms, we took advantage of the En2-/- mouse model and performed transcriptome profiling on cerebellar and hippocampal adult tissues. Methods: En2-/- and WT cerebellar and hippocampal tissue from littermate mice were assessed for differential gene expression using microarray hybridization followed by RankProd analysis. To identify functional categories overrepresented in the differentially expressed genes we used the BIOBASE ExPlain system and mouse phenotype ontology database. Furthermore, we performed direct enrichment analysis of ASD associated genes from the SFARI repository in our differentially expressed genes. Results: We found 842 differentially expressed genes in En2-/- cerebellum and 862 in the En2-/- hippocampus. Our functional analysis revealed that the molecular signature of En2-/- cerebellum and hippocampus shares convergent pathological pathways with ASD, including abnormal synaptic transmission, altered developmental processes and increased immune response. Furthermore, when directly compared to the repository of the SFARI database, our differentially expressed genes show enrichment of ASD-associated genes significantly higher than previously reported. Among the differentially expressed genes 20 were validated by quantitative PCR. Conclusions: Our results indicate the En2-/- mouse model of ASD as an appropriate tool to investigate molecular alterations related to ASD. En2-/- and WT cerebellar and hippocampal tissue from 3 littermates mice for each genotype was hybridized on three replicates microarrays.
2013-12-23 | E-GEOD-51612 | biostudies-arrayexpress
Project description:Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by abnormalities in reciprocal social interactions and language development and/or usage, and by restricted interests and repetitive behaviors. Differential gene expression of neurologically relevant genes in lymphoblastoid cell lines from monozygotic twins discordant in diagnosis or severity of autism suggested that epigenetic factors such as DNA methylation or microRNAs (miRNAs) may be involved in ASD. The goal of this study was to reveal dysregulation in miRNA levels that are inversely correlated with altered levels of target genes that, in turn, may be associated with the underlying pathophysiology of ASD, and to provide a better understanding of the role of miRNAs as a post-transcriptional gene regulatory mechanism associated with ASD.
2010-04-09 | GSE21086 | GEO
Project description:Austism spectrum disorder (ASD) is a heterogeneous behavioral disease most commonly characterized by severe impairment of social engagement and the presence of repetitive activities. The molecular etiology of ASD is still largely unknown despite a strong genetic component. Part of the difficulty in turning genetics into disease mechanisms and potentially new therapeutics is the sheer number and diversity of the genes that have been associated with ASD and ASD symptoms. The goal of this work is to use shRNA-generated models of genetic defects proposed as causative for ASD to identify the common pathways that might explain how they produce a common clinical outcome. Transcript levels of Mecp2, Mef2a, Mef2d, Fmr1, Nlgn1, Nlgn3, Pten, and Shank3 were knocked-down in mouse primary neuron cultures using shRNA/lentivirus constructs. Whole genome expression analysis was conducted for each of the knock-down cultures as well as a mock-transduced culture and a culture exposed to a lentivirus expressing luciferase. Gene set enrichment and a causal reasoning engine were employed to indentify pathway level perturbations generated by the transcript knock-down. Quantitation of the shRNA targets confirmed the successful knock-down at the transcript and protein levels of at least 75% for each of the genes. After subtracting out potential artifacts caused by transfection and viral infection, gene set enrichment and causal reasoning engine analysis showed that a significant number of gene expression changes mapped to pathways associated with neurogenesis, long-term potentiation, and synaptic activity. This work demonstrates that despite the complex genetic nature of ASD, there are common molecular mechanisms that connect many of the best established autism candidate genes. By identifying the key regulatory checkpoints in the interlinking transcriptional networks underlying autism, we are better able to discover the ideal points of intervention that provide the broadest efficacy across the diverse population of autism patients.
2013-05-23 | GSE47150 | GEO
Project description:In this study, we investigated PPA-induced changes in gene expression profiles of lymphoblastoid cell lines (LCLs) from unaffected individuals, compared with gene expression profiles of LCLs from sex-matched siblings with ASD. Global gene expression profiling analysis revealed that 96 genes in LCLs from the unaffected individuals were significantly altered after PPA exposure, exhibiting expression levels similar to those of their respective siblings with autism. Biological pathway analyses of these PPA-responsive genes suggested significant association with many neurological functions associated with autism, including synaptic transmission, neuronal cell differentiation and apoptosis. Moreover, we demonstrated that PPA also deregulated several of the responsive genes, including APOE, LIFR, NR3C1, and PTK2, in the neuroblastoma cell line SH-SY5Y. Functional analyses further showed that PPA exposure negatively impacted neurite outgrowth and promoted neurodegeneration in the human neuronal cell model. This study indicates that PPA exposure induces global changes in gene expression profiles of LCLs from non-autistic individuals that reflect expression patterns of LCLs from affected individuals. We conducted experiments using LCLs derived from individuals with ASD (n = 5) and their sex-matched unaffected siblings (n = 5). LCLs from non-ASD individuals were treated with 10 mM PPA, 10 mM propanol, or PBS. LCLs from individuals with ASD were treated with 10 mM propanol or PBS. At 24h after treatment, all LCLs were harvested. Gene expression profiling was conducted using TIGR 40K human cDNA microarrays. For each sample, total RNA was isolated and cDNA was synthesized, labeled with Cy-3 dye, and co-hybridized with Cy-5 labeled reference cDNA prepared from Universal human RNA (Stratagene, USA) on a TIGR 40K human cDNA microarray.
2011-09-15 | E-GEOD-32136 | biostudies-arrayexpress