Similar Datasets
Project description:The autism spectrum disorders (ASD) are a collection of disorders with heterogeneous etiology, exhibiting common traits including impaired social interactions and communications, repetitive behaviors. 15q11-q13 copy number variations (CNV) were found in 1-3% of ASD cases; of which the detailed mechanism of the major contributor UBE3A gene acted still remained elusive. Here we identified a key enzyme in RA synthesis, negatively regulated in ubiquitination-dependent mode promoted by UBE3A. Our data provide evidences linking UBE3A hyperactivity with ASD phenotypes, with implications for understanding ASD etiology and providing potential interventions in ASD clinical therapy.
2017-12-28 | GSE93207 | GEO
Project description:Autism spectrum disorder (ASD) and mental retardation (MR) represent clinically distinct neurodevelopmental disorders with a complex genetic etiology. Using microarrays we identified de novo copy number variations in the SHANK2 synaptic scaffolding gene in two unrelated ASD and MR patients; DNA sequencing of SHANK2 revealed additional variants including a de novo nonsense mutation and 7 rare inherited changes. Our findings further link common genes between ASD and intellectual disability.
2010-05-01 | GSE20533 | GEO
Project description:Autism spectrum disorder (ASD) is a neurodevelopmental disorder with complex heritability and higher prevalence in males. The neonatal epigenome has the potential to reflect past interactions between genetic and environmental factors during early development and influence future health outcomes. We performed whole-genome bisulfite sequencing of 152 umbilical cord blood samples from the MARBLES and EARLI high-familial risk prospective cohorts to identify an epigenomic signature of ASD at birth. Samples were split into discovery and replication sets and stratified by sex, and their DNA methylation profiles were tested for differentially methylated regions (DMRs) between ASD and typically developing control cord blood samples. DMRs were mapped to genes and assessed for enrichment in gene function, tissue expression, chromosome location, and overlap with prior ASD studies. DMR coordinates were tested for enrichment in chromatin states and transcription factor binding motifs. Results were compared between discovery and replication sets and between males and females. We identified DMRs stratified by sex that discriminated ASD from control cord blood samples in discovery and replication sets. At a region level, 7 DMRs in males and 31 DMRs in females replicated across two independent groups of subjects, while 537 DMR genes in males and 1762 DMR genes in females replicated by gene association. These DMR genes were significantly enriched for brain and embryonic expression, X chromosome location, and identification in prior epigenetic studies of ASD in post-mortem brain. In males and females, autosomal ASD DMRs were significantly enriched for promoter and bivalent chromatin states across most cell types, while sex differences were observed for X-linked ASD DMRs. Lastly, these DMRs identified in cord blood were significantly enriched for binding sites of methyl-sensitive transcription factors relevant to fetal brain development. At birth, prior to the diagnosis of ASD, a distinct DNA methylation signature was detected in cord blood over regulatory regions and genes relevant to early fetal neurodevelopment. Differential cord methylation in ASD supports the developmental and sex-biased etiology of ASD and provides novel insights for early diagnosis and therapy.
2020-03-24 | GSE140730 | GEO
Project description:Autism Spectrum Disorder (ASD) is a group of common neurodevelopmental conditions with impairments in socialization, communication and restricted behaviors. Only a minority of ASD cases are determined to have a definitive etiology and the pathogenesis of most ASD remains poorly understood. In this study, we made use of the power of proteomics, heretofore little utilized in the study of the biology of ASD, and analyzed the proteomes of two brain regions, Brodmann area 19 (BA19) and posterior inferior cerebellum (CB), from 9 idiopathic ASD cases/9 matched controls by label-free HPLC-tandem mass spectrometry (MS) and validated the differentially expressed protein findings with selected-reaction monitoring MS. The data revealed marked differences between ASD and control brain proteomes for both brain regions, with numerous differentially expressed proteins, although the proteomic difference between brain regions was not attenuated in ASD brain. Bioinformatic analyses based on the differentially expressed proteins highlighted multiple canonical pathways and protein-protein interaction networks that are implicated in the differential biology of ASD vs. controls. Canonical pathways involving glutamate receptor signaling and RXR activation were enriched for both BA19 and CB; others such as cell-cell junction signaling and fatty acid oxidation were enriched for BA19 and CB, respectively. Network analysis revealed a protein interaction network related to synaptic biology in BA19 and another involving cytoskeletal/vesicular functions in CB. Upstream regulator analysis for both regions revealed multiple neurodegeneration-associated proteins. The finding of several shared canonical pathways and upstream regulators for both regions underscores likely common ASD pathophysiology that has distinctive regional expression.
2019-09-16 | PXD012755 | Pride
Project description:A number of genetic studies have identified rare protein-coding DNA variations associated with autism spectrum disorder (ASD), a neurodevelopmental disorder with significant genetic etiology and heterogeneity. In contrast, the contributions of functional, regulatory genetic variations that occur in the extensive non-protein-coding regions of the genome remain poorly understood. Here we developed a genome-wide analysis to identify rare single nucleotide variants (SNVs) that occur in non-coding regions and determined regulatory function and evolutionary conservation of these variants. Using publicly available datasets and computational predictions, we identified SNVs within putative regulatory regions in promoters, transcription factor binding sites, microRNA genes and their target sites. Overall, we found regulatory variants in the ASD cases were enriched in autism-risk genes and genes involved in fetal neurodevelopment. As with previously reported coding mutations, we found an enrichment of regulatory variants associated with dysregulation of neurodevelopmental and synaptic signaling pathways. Among these were rare inherited non-coding SNVs found in the mature sequence of a number of microRNAs predicted to affect the regulation of autism-risk genes. We show a paternally inherited miR-873-5p variant, with reduced NRXN2 binding affinity, overlays a maternally inherited NRXN1 putative loss-of-function coding variation to likely increase genetic liability in an idiopathic ASD case. Our analysis pipeline provides a new resource for identifying loss-of-function regulatory DNA variations that may contribute to the genetic etiology of complex disorders.
2017-04-25 | GSE98088 | GEO
Project description:Using DNA microarray as a global approach to understanding the molecular basis of autism, we examined gene expression profiling in peripheral blood from 21 young adults with autism spectrum disorder (ASD) and healthy mothers having children with ASD, between whom there was no blood relationship. Several genes which were significantly changed in the ASD group comparing with their age- and gender-matched healthy subjects were mainly involved in cell morphology, cellular assembly and organization, and nerve system development and function. In addition, mothers having children with ASD possessed a unique gene expression signature shown as significant alterations of protein synthesis despite of their nonautistic diagnostic status. Moreover, an ASD-associated gene expression signature was commonly observed in both individuals with ASD and healthy mothers having children with ASD. Total RNA was prepared from venous blood which was taken from each subject. Gene expression profiling of venous blood from subjects with ASD (21), the healthy women who had children with ASD (21) and their age- and gender-matched healthy subjects (42) were obtained using a whole human genome oligonucleotide microarray (Agilent 44K Human whole genome array G4112F, GPL6480) to measure gene expression in these samples according to the manufacture’s protocol. The one GSM sample of microarray analysis was made by individual subject. Differentially expressed genes were determined across all rationed expression values for age- and gender-matched pairs (ASD vs. control, asdMO vs. ctrlMO) using Genespling analysis.
2011-01-13 | E-GEOD-26415 | biostudies-arrayexpress
Project description:Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by delayed/abnormal language development, deficits in social interaction, repetitive behaviors and restricted interests. The heterogeneity in clinical presentation of ASD, likely due to different etiologies, complicates genetic/biological analyses of these disorders. DNA microarray analyses were conducted on 116 lymphoblastoid cell lines (LCL) from individuals with idiopathic autism who are divided into 3 phenotypic subgroups according to severity scores from the commonly used Autism Diagnostic Interview-Revised questionnaire and age-matched, nonautistic controls. Statistical analyses of gene expression data from control LCL against that of LCL from ASD probands identify genes for which expression levels are either quantitatively or qualitatively associated with phenotypic severity. Comparison of the significant differentially expressed genes from each subgroup relative to the control group reveals differentially expressed genes unique to each subgroup as well as genes in common across subgroups. Among the findings unique to the most severely affected ASD group are genes that regulate circadian rhythm, which has been shown to have multiple effects on neurological as well as metabolic functions commonly dysregulated in autism. Among the genes common to all 3 subgroups of ASD are 5 novel genes which appear to associate with androgen sensitivity, which may underlie the strong 4:1 bias towards affected males. Gene expression profiling of 116 LCL from autistic (87) and nonautistic (29) individuals were obtained using a custom-printed DNA microarray containing 39,936 elements (TIGR 40K Human array, GPL3427) and a reference design in which each sample was compared to the Stratagene Universal Human RNA standard. The 87 autistic samples were divided into phenotypic subgroups (language, mild, savant) on the basis of cluster analyses of scores from an autism diagnostic questionnaire, the Autism Diagnostic Interview-Revised instrument. Differentially expressed genes were determined for all autistic vs. control groups, as well as for each of 3 phenotypic ASD groups and controls.
2010-05-17 | E-GEOD-15402 | biostudies-arrayexpress
Project description:Autism spectrum disorder (ASD) diagnosis is increasing, with 1/88 children believed to be affected by the disorder, with a most recent survey suggesting numbers as high as 1/50. Treatment and understanding of ASD causes is a pressing health concern. ASD protein biomarkers may provide clues about ASD cause. Protein biomarkers for ASDs could be used for ASD diagnosis, subtyping, treatment monitoring and identifying therapeutic targets. Here we analyzed the sera from 7 children with ASD and 7 matched controls using Tricine gel electrophoresis (Tricine-PAGE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). Overall, we found increased levels of apolipoproteins (Apos) ApoA1 and ApoA4, involved in cholesterol metabolism and of serum paraoxanase/arylesterase 1 (PON1), involved in preventing oxidative damage, in the sera of children with ASD, compared with their matched controls. All three proteins are predicted to interact with each other and are parts of High Density Lipoproteins (HDLs). Further studies are needed to validate these findings in larger subject numbers.
2022-02-22 | PXD000679 | Pride
Project description:The aim of this study was to identify ASD vulnerability components, explore possible vulnerability subgroups, and evaluate environmental contribution to phenotypic variability. We performed PCA and cluster analysis using ASD risk factor data. We found that PC1 had a higher correlation with psychosocial stress (maternal stress, maternal education, and social class), and PC2 a higher correlation with biological factors (Psychiatric Family History and Gestational Complications). Clustering analysis of PCA scores using bootstrap approach showed two clusters. Comparing the methylome between clusters we found 11.879 DMPs (p<0.05), and their CpG sites were enriched in VMRs, most showing environmental and genetic influences. Hypermethylated probes presented higher rates in different regulatory regions associated with functional SNPs, indicating that the subgroups may have different affected regulatory regions and their liability to disease explained by common variations. Vulnerability score moderated by epigenetic clock was associated with Vineland Total score (p=0.0036, adjR2=0.31), suggesting risk factors with stress burden can influence phenotype.
2021-10-01 | GSE164563 | GEO
Project description:Whole-exome sequencing studies have implicated chromatin modifiers and transcriptional regulators in autism spectrum disorder (ASD) through the identification of de novo loss of function mutations in affected individuals. Many of these genes are co-expressed in mid-fetal human cortex, suggesting ASD risk genes converge in regulatory networks that are perturbed in ASD during neurodevelopment. To elucidate such networks we mapped promoters and enhancers bound by the chromodomain helicase CHD8, which is strongly enriched in ASD-associated de novo loss of function mutations, using ChIP-seq in mid-fetal human brain, human neural stem cells (hNSCs), and embryonic mouse cortex. We find that CHD8 targets are strongly enriched for ASD risk genes that converge in ASD-associated co-expression networks in human midfetal cortex. CHD8 knockdown in hNSCs results in significant dysregulation of ASD risk genes targeted by CHD8, as well as additional genes important for neurodevelopment, including members of the Wnt/M-NM-2-catenin signaling pathway. Integration of CHD8 binding data with genetic and gene co-expression data in ASD risk models provides support for additional ASD risk genes. Together, our results suggest that loss of CHD8 function contributes to ASD through regulatory perturbation of other ASD risk genes during human cortical development. Two biological replicates for each ChIP with appropriate Input control Four biological replicates for each condition in knockdown experiments (Ctrl construct, Chd8 target C, and Chd8 target G)
2015-01-21 | E-GEOD-57369 | biostudies-arrayexpress