In vivo Perturb-Seq reveals neuronal and glial abnormalities associated with autism risk genes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA663571 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR12643206_1.fastq.gz | Fastqsanger.gz | |||
| SRR12643206_2.fastq.gz | Fastqsanger.gz | |||
| SRR12643207_1.fastq.gz | Fastqsanger.gz | |||
| SRR12643207_2.fastq.gz | Fastqsanger.gz |
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Project description:We developed and applied a scalable genetic screening approach, in vivo Perturb-Seq, to functionally evaluate 35 autism spectrum disorder/neurodevelopmental delay (ASD/ND) de novo loss-of-function risk genes (see https://www.biorxiv.org/content/10.1101/791525v1 for complete list). Using CRISPR-Cas9, we introduced frameshift mutations in these risk genes in pools, within the developing mouse brain in utero, followed by single-cell RNA sequencing of perturbed cells in the postnatal brain. We identified cell type-specific and evolutionarily conserved gene modules from both neuronal and glial cell classes. Recurrent gene modules and cell types are affected across this cohort of perturbations, representing key cellular effects across sets of ASD/ND risk genes.
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Project description:The number of disease risk genes and loci identified through human genetic studies far outstrips the capacity to systematically study their functions. We applied a scalable genetic screening approach, in vivo Perturb-Seq, to functionally evaluate 35 autism spectrum disorder/neurodevelopmental delay (ASD/ND) de novo loss-of-function risk genes. Using CRISPR-Cas9, we introduced frameshift mutations in these risk genes in pools, within the developing mouse brain in utero, followed by single-cell RNA-sequencing of perturbed cells in the postnatal brain. We identified cell type-specific and evolutionarily conserved gene modules from both neuronal and glial cell classes. Recurrent gene modules and cell types are affected across this cohort of perturbations, representing key cellular effects across sets of ASD/ND risk genes. In vivo Perturb-Seq allows us to investigate how diverse mutations affect cell types and states in the developing organism.
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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.
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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.
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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.
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Project description:Advanced paternal age has been shown to be a significant risk factor for neurodevelopmental psychiatric disorders, particularly autism. We have recently shown that mice conceived by old fathers display behavioral abnormalities which resemble key diagnostic symptoms of human autism. De novo mutations and epigenetic alterations increase in the male germ line during ageing and are thought to mediate the effect of paternal age on occurrence of diseases occurrence. Because the placenta carry a predominantly fetal genetic background, age-related mutagenesis and epigenetic errors might negatively influence placental physiology and in turn perturb fetal brain development. Here, we examined the impact of paternal age on placental mRNA transcriptome. This work was supported by Programme FP7-KBBE-2012.1.3-04, GA no. 312097 Acronym: FECUND, to GEP; MIUR/CNR, Programme FIRB. GA n. B81J12002520001 Acronym: GenHome, to PL. This study was also partially financed by the IGAB PAS project (S.III.1.3), Polish Scientific Committee Grant 2011/03/N/NZ29/05222, Polish Ministry of Science and Higher Education Grants N N519 657940 and N N311 604938. We compared gene expression patterns of mouse placentas harvested from either advanced paternal age model (APA) of autism or control animals. We included 2 comparisons: 1) placenta of female APA vs placenta of female control; 2) placenta of male APA vs placenta of male control. Each comparison was composed of 3 biological replicates. To minimize family bias, poolings contained at most one placenta per sex from each dam to a minimum of one and a maximum of three placentas per group/sex.
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Project description:Advanced paternal age has been shown to be a significant risk factor for neurodevelopmental psychiatric disorders, particularly autism. We have recently shown that mice conceived by old fathers display behavioral abnormalities which resemble key diagnostic symptoms of human autism. De novo mutations and epigenetic alterations increase in the male germ line during ageing and are thought to mediate the effect of paternal age on occurrence of diseases occurrence. Because the placenta carry a predominantly fetal genetic background, age-related mutagenesis and epigenetic errors might negatively influence placental physiology and in turn perturb fetal brain development. Here, we examined the impact of paternal age on placental mRNA transcriptome. This work was supported by Programme FP7-KBBE-2012.1.3-04, GA no. 312097 Acronym: FECUND, to GEP; MIUR/CNR, Programme FIRB. GA n. B81J12002520001 Acronym: GenHome, to PL. This study was also partially financed by the IGAB PAS project (S.III.1.3), Polish Scientific Committee Grant 2011/03/N/NZ29/05222, Polish Ministry of Science and Higher Education Grants N N519 657940 and N N311 604938.
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