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Translatome analysis in postmortem brain-derived samples from Autism Spectrum Disorder affected individuals

ABSTRACT: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with a strong genetic link, but no single well-established cause. This suggests that perturbed regulatory network may better explain its heterogeneity of phenotypes and multiple gene associations. Consistently, our previous study provided evidence of abnormal alternative polyadenylation in transcripts from distinct brain regions suggesting a potential imbalance in the protein synthesis in the postsynaptic density. To test this hypothesis, we studied transcriptome-wide alterations of mRNA translation in post-mortem brain samples from neurotypical and ASD-affected young males subjects. To this end, we employed an optimised polysome profiling technique amendable for small tissue samples and analyzed changes in the translatome using the anota2seq algorithm. The analysis revealed bolstered translation of mRNAs whose translational efficiency was previously reported to be sensitive to eIF4E, a key factor for synaptic protein synthesis modulated by Ras/ERK and PI3K/mTOR signaling pathways. This observation is consistent with previous findings linking hyperactive eIF4E to increased translation of neuroligins, a disturbed excitation/inhibition ratio in synapses and autistic-like phenotypes in mice. In summary, we reveal a link between eIF4E-dependent translation and human autism, indicating a potential pharmacy-therapeutical target for the prevention of behavioral impairments in ASD.

ORGANISM(S): Homo sapiens

PROVIDER: GSE236761 | GEO | 2023/10/27

REPOSITORIES: GEO

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Project description:Autism spectrum disorder (ASD) is a common, highly heritable neurodevelopmental condition characterized by marked genetic heterogeneity. Thus, a fundamental question is whether autism represents an aetiologically 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 (also known as 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 the ASD brain. Moreover, using a published autism genome-wide association study (GWAS) data set, 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 aetiology 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. To identify potential A2BP1-dependent differential splicing events in ASD brain, we performed high-throughput RNA sequencing (RNA-Seq) on three autism samples with significant downregulation of A2BP1 (average fold change by quantitative RT-PCR = 5.9) and three control samples with average A2BP1 levels. The list of potential A2BP1-depending differential splicing events in ASD is given in the Supplementary file linked at the foot of this record.

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.

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Translatome analysis in postmortem brain-derived samples from Autism Spectrum Disorder affected individuals

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