grant

Functional convergence following disruption of diverse genes associated with neurodevelopmental disorders

Organization YALE UNIVERSITYLocation NEW HAVEN, UNITED STATESPosted 20 May 2021Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY202516p11.2ASDAllelesAllelomorphsAssayAutismAutistic DisorderAutopsyBioassayBiologicalBiological AssayBiologyCRISPRCRISPR/Cas systemCausalityChromatin Remodeling ComplexChromatin Remodeling FactorClustered Regularly Interspaced Short Palindromic RepeatsCommunicationCommunitiesComplexDNA mutationDataData SetDevelopmentDiseaseDisorderDisparateEarly Infantile AutismElectronic Health RecordEngineeringEtiologyEvaluationExpression SignatureFemaleGene ExpressionGene Expression ProfileGene TranscriptionGenesGeneticGenetic ChangeGenetic DiversityGenetic TranscriptionGenetic VariationGenetic defectGenetic mutationGenetic studyGenomicsGlutamatesGoalsHeterozygoteIndividualInduced pluripotent stem cell derived human neuronInfantile AutismKanner's SyndromeL-GlutamateLinkMethodsModelingMutationNIMHNational Institute of Mental HealthNerve CellsNerve UnitNeural CellNeural DevelopmentNeurocyteNeurodevelopmental DeficitNeurodevelopmental DisorderNeurological Development DisorderNeuronsOutcomePathogenesisPathway interactionsPhenotypePredispositionProcessProtein TruncationProteinsRNA ExpressionRNA SeqRNA sequencingRNAseqRelative RisksResearchResearch ResourcesResourcesRiskRisk FactorsRisk-associated variantSamplingSeriesSusceptibilitySynapsesSynapticTestingTranscriptionTranscriptional ControlTranscriptional Regulationautism modelautism spectral disorderautism spectrum disorderautistic spectrum disorderbiologiccausationcell typechromatin modificationchromatin modifierchromatin remodelingdata integrationdevelopmentaldiscover genesdisease causationdisease riskdisorder riskdruggable targetelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordfetalgene discoverygene expression patterngene expression signaturegenome mutationgenome scalegenome-widegenomewideglobal gene expressionglobal transcription profileglutamatergicheterozygosityhiPSChiPSC-derived neuronshuman iPShuman iPSChuman iPSC-derived sensory neuronhuman induced pluripotent cellhuman induced pluripotent stem cell derived sensory neuronhuman induced pluripotent stem cellshuman inducible pluripotent stem cellshuman inducible stem cellsiPSC-derived human neuronimprovedin silicoinduced human pluripotent stem cellsinducible pluripotent stem cell derived human neuroninducible pluripotent stem cell derived human sensory neuroninnovateinnovationinnovativeinsightloss of functionloss of function mutationmalemodel of autism spectrum disordernecropsyneurodevelopmentneurodevelopmental diseaseneuronalneurons differentiated from human induced pluripotent stem cellsneuropsychiatric diseaseneuropsychiatric disordernovelparallelizationpathwaypostmortempostnatalprogenitor cell modelprogenitor modelrisk allelerisk generisk genotyperisk locirisk locusrisk variantstem and progenitor cell modelstem cell based modelstem cell derived modelstem cell modelsynapsesynapse functionsynaptic functiontherapeutic targettranscriptional profiletranscriptional signaturetranscriptometranscriptome sequencingtranscriptomic sequencingtranscriptomics
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Full Description

PROJECT SUMMARY
A complex interplay of genetic variation underlies predisposition for autism spectrum disorder (ASD). There is

now strong evidence from large consortia studies that mutations in genes involved in chromatin modification,

transcriptional regulation, and synaptic proteins confer substantial risk for ASD; however, the extent to which

these genes are interconnected and ultimately converge on a small number of functional deficits is largely

unknown. A critical need therefore exists to model new gene discoveries, to directly evaluate their functional

impact, and to determine their points of convergence. Innovations from our team and others in high-throughput

CRISPR-engineering have now made parallelized mechanistic studies tractable, and human induced pluripotent

stem cell (hiPSCs) derived neurons are well-suited to test the impact of ASD risk variants predicted to exert their

influence during fetal cortical development. Here, our multi-PI proposal will undertake an ambitious, systematic

isogenic loss-of-function (LoF) mechanistic screen in a compendium of 48 of the most robust ASD risk genes

discovered from the largest genetic studies to date. Moreover, our exciting preliminary results suggest that

transcriptional signatures shared across neuronal models of ASD genes converge on critical regulatory nodes

that result in synaptic deficits. Aim 1 will characterize isogenic glutamatergic and GABAergic neurons with highly

penetrant LoF mutations in 48 genes associated with ASD risk at genome-wide significant thresholds and that

are expressed in neurons. These analyses will identify transcriptional and functional signatures of individual ASD

genes through RNAseq and a series of high-throughput phenotyping assays in both neuronal sub-types. Aim 2

will expand our Preliminary Results to discover convergent genes downstream of ASD risk loci, characterize the

synaptic consequences of the ten most compelling discoveries from individual genes and/or convergent

signatures, and integrate these data to explore the druggability of the convergent networks. Our overarching

goal is to define any commonalities among diverse genes, pathways and networks that underlie ASD etiology,

and to dramatically expand the list of possible therapeutic targets for ASD. These studies will generate an

unprecedented isogenic resource of CRISPR-edited ASD genes, and matched RNAseq and cellular phenotyping

in glutamatergic and GABAergic neurons, that will be provided for open distribution to the broader community

through the NIMH RUDCR resource to yield new insights into neuropsychiatric disorders.

Grant Number: 5R01MH123155-05
NIH Institute/Center: NIH

Principal Investigator: Kristen Brennand

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