Temporal Single Cell RNAseq to Identify Genes and Pathways Affected by 15q11.2 Duplication in Autism iPSC-Derived Differentiating Cortical Neurons
Temporal Single Cell RNAseq to Identify Genes and Pathways Affected by 15q11.2 Duplication in Autism iPSC-Derived Differentiating Cortical Neurons
批准号:
9200627
负责人:
Wei Zhang
金额:
$22.45万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-16 至 2018-08-15
关键词:
Academic supportAddressAffectAutistic DisorderBioinformaticsBiological MarkersBrainCell CountCell LineCell ProliferationCellsChildClinicalCompanionsComputer SimulationCopy Number PolymorphismDNA Sequence AlterationDataData QualityData SetDatabasesDepositionDevelopmentDevelopmental DisabilitiesDiagnosisDimensionsDiseaseDisease ProgressionDisease modelDrug TargetingEnvironmental Risk FactorEpilepsyExposure toFrequenciesGene ExpressionGenesGenetic Predisposition to DiseaseGlutamatesHealth PrioritiesHeterogeneityIn VitroLateralLeadMapsMarketingMendelian disorderMolecularMolecular ProfilingMorphologyMutationNatureNervous System PhysiologyNeuronal DifferentiationNeuronsPathogenesisPathologyPathway interactionsPatientsPharmacologic SubstancePhasePhenotypePlayPopulationPriceProcessProtocols documentationProxyPublishingReagentResearchResearch PersonnelResearch SupportResourcesRisk FactorsRoleSamplingSchizophreniaScientistSorting - Cell MovementSynapsesSynaptic plasticitySystemTherapeuticTimeTissue SampleUnited StatesUp-Regulationautism spectrum disordercell typedatabase structurediagnostic biomarkerdisease mechanisms studydisease phenotypedisorder controldrug discoverygenetic risk factorinduced pluripotent stem cellinnovationinsightinterestmicrodeletionmolecular dynamicsnerve stem cellnervous system disorderneuron developmentneuronal circuitrynovel therapeuticspeerpublic health prioritiesreconstitutionrelating to nervous systemresearch studytooltranscriptometranscriptome sequencing
中文摘要
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英文摘要
PROJECT SUMMARY
We aim to establish a single-cell RNAseq database of differentiating cortical neuronal progenitors
(NPCs) and neurons derived from patient-specific induced pluripotent stem cells (iPSCs) for neuro-
developmental diseases (NDDs). The database will also include data on differentiation, morphology, formation
and functionality of synapses, annotations of analytical findings, and will be supported by the most advanced
single-cell RNAseq bioinformatics tools. We will provide all this, together with corresponding NPCs and
neurons for research reagents, as tool to support academic research and drug discovery for NDDs in the field.
One in 68 children born in 2002 are diagnosed with Autism Spectrum Disorder (ASD), a public health
priority in the US. Genetic predispositions in ASD are thought to contribute to the primary pathology by altering
neuronal development, evidenced partly by altered gene expressions. Patient-specific induced pluripotent
stem cells (iPSCs) have been shown to recapitulate specific disease phenotypes through the neurogenic
process and can serve as effective disease models. Hence, single-cell RNAseq along the accessible and
controlled process of differentiating ASD-specific iPSCs into neural progenitors and subtypes of neurons can
provide insights into the temporal and multi-lineage dimensions of ASD pathogenesis and biomarkers for
diagnostics, progression, and therapeutics discovery.
Copy-number variants (CNVS) at 15q11.2 is a prominent risk factor for neurological disorders including
ASD, epilepsy, and schizophrenia. 15q11-q13 duplication/triplication represent the most common CNVs in
patients with ASD (up to 3%). Duplications and microdeletions can both lead to the same disorders,
suggesting the importance of this region in normal neurological functions and the necessity to study the impact
of both duplications and deletions for a full understanding of the mechanisms.
Phase I utilizes four 15q11.2 duplication iPSC lines from ASD patients and two control iPSC lines to:
Aim 1: Characterize neural differentiation of ASD and control iPSC-derived neurons. Differentiate iPSCs
into cortical NPCs, glutamatergic, and GABAergic subtypes. Identify deficits in ASD lines through
morphological studies and structural analyses of synapses.
Aim 2: Generate single-cell RNAseq datasets of differentiating NPCs and neuronal subtypes at nine
time points during differentiation.
Aim 3: Perform bioinformatics analyses. Reconstitute the molecular dynamics underlying neuronal
differentiation. Validate experimental conditions including sampling frequency and number of cells. Identify,
validate molecular signatures underlying 15q11.2 duplication’s impact on neuronal differentiation and functions.
Phase II: utilize the experimental conditions established here to generate single-cell RNAseq datasets from
multiple ASD iPSC lines that harbor different genetic mutations to be included in the database; build database
structure and user interface, and seek to identify aberrant differentiation and functional development caused by
ASD mutations as well as genes and pathways that are commonly and differentially affected across multiple
ASD mutations. We will devote resources to annotate the database with our own findings and those that are
published by peers to enhance its utility to subscribers.
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