Project description:We examined the effect of Myt1l deficiency in the neurons of mice. Homozygous Myt1l deficiency resulted in postnatal lethality, and mutant mice presented gene expression changes associated with developmental delays and resembled changes observed in autism spectrum disorder patients.
Project description:The loss-of-function mutations in the chromatin remodeler CHD8, a high-risk factor in autism spectrum disorder (ASD), lead to severe developmental delay, however, the underlying mechanisms remains elusive. Here, we use transcriptome and genomic occupancy reveal that CHD8 regulates chromatin accessibility and activates neurogenesis-related genes for cortical neurogenesis.
Project description:We examined the effect of Myt1l deficiency in the cortices of mice during developement. Homozygous Myt1l deficiency resulted in postnatal lethality, and mutant mice presented gene expression changes associated with developmental delays and resembled changes observed in autism spectrum disorder patients.
Project description:Purpose: The goal of this study was to compare gene expression patterns in the male and female human cortex Methods: We performed RiboZero Gold (rRNA depleted) 50bp PE RNA-seq in a set of control samples of both sexes to identify sexually dimorphic gene expression patterns. Results: Within these samples, we corroborated findings from a discovery set of RNA-seq data from adult human cortex tissue from the BrainSpan consortium which demonstrated male-biased expression of astrocyte marker genes and a gene co-expression module found to be up-regulated in the adult autistic cortex. Conclusions: These findings suggest that sex-differential risk for autism spectrum disorder is not the result of sex-differential regulation of ASD risk genes, but of naturally occurring sexually dimorphic processes that modulate the impact of risk variants for autism spectrum disorder. 13 cerebral cortex samples from 10 individuals (7 samples from 5 males, 6 samples from 5 females). Three Samples are included in this study from Series GSE64018. **PLEASE NOTE: Raw data has been submitted to dbGAP**
Project description:Autism spectrum disorder (ASD) is a common, highly heritable neuro-developmental condition characterized by marked genetic heterogeneity. 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. 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. Total RNA was extracted from approximately 100mg of postmortem brain tissue representing Cerebellum (C), Frontal cortex (F), and Temporal cortex (T), from autistic and control individuals.
Project description:To investigate the effect of Grin2a (a schizophrenia risk gene) and Grin2b (an autism spectrum disorder risk gene) loss of function on brain transcriptome. We performed unbiased transcriptomic profiling (bulk RNAseq analysis) in 5 brain regions and at four postnatal ages in Grin2a and Grin2b mutant mice.
Project description:Background: Autism spectrum disorder (ASD) is a severe early onset neurodevelopmental disorder with high heritability but significant heterogeneity. Traditional genome-wide approaches to test for association of common variants with autism susceptibility risk has met with limited success. However, novel methods to identify moderate risk alleles in attainable sample sizes are now gaining momentum. Methods:M-BM- In this study, we utilized publically available GWAS data from the Autism Genome Project (AGP) and annotated the results (p < 0.001) for eQTLs present in the parietal lobe, cerebellum, and lymphoblastoid cell lines. We then performed a test of enrichment by comparing these results to simulated data conditioned on minor allele frequency in order to generate an empirical p-value indicating statistically significant enrichment of eQTLs in top results from the autism GWAS. Results:M-BM- Our findings show a global enrichment of brain eQTLs, but not LCL eQTLs, among top SNPs from an autism GWAS. Additionally, the data implicates individual genesM-BM- SLC25A12,M-BM- PANX1M-BM- andM-BM- PANX2, as well as pathways previously implicated in autism. Conclusions:M-BM- These findings provide supportive rationale for the use of annotation-based approaches to GWAS. We use microarray technology to understand the etiology and pathology of psychiatric diseases at the transcriptomic level. Postmortem human brain samples came from the Stanley Medical Research InstituteM-bM-^@M-^Ys Neuropathology Consortium and Array collections, including schizophrenia, bipolar disorder and control samples.
Project description:Background: Autism spectrum disorder (ASD) is a severe early onset neurodevelopmental disorder with high heritability but significant heterogeneity. Traditional genome-wide approaches to test for association of common variants with autism susceptibility risk has met with limited success. However, novel methods to identify moderate risk alleles in attainable sample sizes are now gaining momentum. Methods:M-BM- In this study, we utilized publically available GWAS data from the Autism Genome Project (AGP) and annotated the results (p < 0.001) for eQTLs present in the parietal lobe, cerebellum, and lymphoblastoid cell lines. We then performed a test of enrichment by comparing these results to simulated data conditioned on minor allele frequency in order to generate an empirical p-value indicating statistically significant enrichment of eQTLs in top results from the autism GWAS. Results:M-BM- Our findings show a global enrichment of brain eQTLs, but not LCL eQTLs, among top SNPs from an autism GWAS. Additionally, the data implicates individual genesM-BM- SLC25A12,M-BM- PANX1M-BM- andM-BM- PANX2, as well as pathways previously implicated in autism. Conclusions:M-BM- These findings provide supportive rationale for the use of annotation-based approaches to GWAS. We use microarray technology to understand the etiology and pathology of psychiatric diseases at the transcriptomic level. Postmortem human brain samples came from the Stanley Medical Research InstituteM-bM-^@M-^Ys Neuropathology Consortium and Array collections, including schizophrenia, bipolar disorder and control samples.
Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of 91 up-regulated and 67 down-regulated miRNAs in 5 autism spectrum disorder (ASD) cases and 5 controls. In the study presented here, a well-defined cohort of 5 autism spectrum disorder cases and 5 controls was used to acquire expression profiles of 91 up-regulated and 67 down-regulated miRNAs, leading to the first global miRNA expression profile of ASD in China.