Gene Regulatory Networks of Synaptic Specificity
突触特异性的基因调控网络
基本信息
- 批准号:10542384
- 负责人:
- 金额:$ 12.69万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:ATAC-seqAddressAdultAffectAlgorithmsAwardBiological ModelsBlindnessBrainBrain InjuriesBrain regionCalciumCandidate Disease GeneCell Surface ProteinsCellsChromatinCodeCollaborationsComplexComputational TechniqueComputer ModelsDataData SetDecision MakingDefectDetectionDevelopmentDevelopmental GeneDrosophila genusElectrophysiology (science)Enabling FactorsEngineeringEnvironmentEquilibriumGene Expression RegulationGenesGeneticGenetic TranscriptionGenetic studyGenomicsGoalsHumanImageIndividualKnowledgeLeadLearningLinkLogicMediatingMentorsMentorshipMethodsModelingModificationMolecularMorphologyMotionNerve DegenerationNervous SystemNeurodevelopmental DisorderNeuronsNeurophysiology - biologic functionNew YorkOptic LobeOutputPhasePhysiologicalPhysiologyProcessPropertyRegenerative MedicineRegulator GenesResearchResourcesRetinaSpecific qualifier valueSpecificitySynapsesSystemTechniquesTestingTimeTrainingTransplantationUniversitiesVisualVisual SystemWorkcell replacement therapycell typeeffective therapyexperimental studyflygene regulatory networkimprovedin vivoin vivo calcium imaginginduced pluripotent stem cellinterestmachine learning frameworkmodel buildingnerve stem cellnetwork modelsneuralneural circuitneuron developmentneuroregulationnovel strategiespostmitoticpostsynapticprogramsresponsesingle-cell RNA sequencingstem cellssynaptogenesistooltranscription factortranscriptometransdifferentiation
项目摘要
Project Summary/Abstract
Neuronal type identity is central to the development and function of neural circuits, as it instructs both the
connectivity of neurons as well as their synaptic and electrophysiological properties. Neuronal fates are thought
to be controlled by combinations of transcription factors (TF) known as terminal selectors, but very little is known
about the gene regulatory mechanisms that link differential TF expression to specific neuronal features. The
Drosophila visual system, a well-characterized brain region that has an organization analogous to the vertebrate
retina and cortex, provides the ideal balance of complexity and accessibility to investigate these mechanisms.
The first aim of this project will be to decipher the terminal selector TF codes that establish and maintain the
unique identity of approximately 200 neuronal types that make the Drosophila optic lobes. Using a single-cell
RNA sequencing (scRNA-seq) dataset I generated from developing optic lobes, I identified the combinations of
TFs that are stably maintained in each neuronal type throughout their differentiation. Under the mentorship of
Claude Desplan (K99 phase), I will test the hypothesis that these TFs function as terminal selectors by modifying
the TF codes of specific optic lobe neurons in vivo, with the goal of predictably transdifferentiating them into other
cell types. This will demonstrate the sufficiency of terminal selectors to confer neuronal identity and benefit the
field of regenerative medicine. The conserved mechanisms in mammalian systems could be exploited to induce
differentiation of pluripotent cells into specific neurons that could be transplanted to treat blindness or
neurodegeneration. The second aim of this project will link the terminal selector TFs to their downstream targets.
In collaboration with Richard Bonneau, I will learn to use the “Inferelator” algorithm to generate computational
models of gene regulatory networks by combining my existing scRNA-seq data with new chromatin accessibility
(scATAC-seq) data I will acquire. During the K99 phase, I will test the effects of perturbating key predicted
downstream effectors on the morphology and connectivity of a select group of neurons to establish proof-of-
concept. I will then generalize this approach in the R00 phase by inferring gene regulatory networks for all optic
lobe neurons at multiple developmental stages. The third aim will be performed in my independent lab (R00) to
utilize the network models for engineering precise modifications in visual circuits. I will seek to selectively
uncouple the circuit that computes wide-field motion from the one that detects small moving objects. I will use
synaptic tracing methods as well as intravital calcium imaging to demonstrate the functional consequences of
developmental perturbations. Altogether, this project will establish direct mechanistic links between the encoding
of neuronal identity and the molecules that mediate intercellular interactions during synaptic partner selection,
which are commonly affected in neurodevelopmental disorders. The mentorship I will receive from Dr. Desplan
and Dr. Bonneau, combined with the impressive resources of New York University provide the ideal environment
for preparing me to build a successful independent research program that link gene regulation to brain wiring.
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mehmet Neset Ozel其他文献
Mehmet Neset Ozel的其他文献
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{{ truncateString('Mehmet Neset Ozel', 18)}}的其他基金
Gene Regulatory Networks of Synaptic Specificity
突触特异性的基因调控网络
- 批准号:
10351552 - 财政年份:2022
- 资助金额:
$ 12.69万 - 项目类别:
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