Molecular Engineering Approach to Study Long Term Synaptic Plasticity

研究长期突触可塑性的分子工程方法

• 批准号: 7561660
• 负责人: JINGYUE JU
• 金额: $ 56.46万
• 依托单位: COLUMBIA UNIV NEW YORK MORNINGSIDE
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-02-01 至 2012-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7561660
• 关键词: Afferent Neurons; Animal Model; Aplysia; Axon; Bioinformatics; Biological; Biology; Biomedical Engineering; Biomedical Research; Brain; Cell Culture Techniques; Cells; Chemistry; Color; DNA Sequence; Distant; Engineering; Eukaryotic Cell; Event; Experimental Models; Foundations; Functional Imaging; Gene Expression; Gene Expression Profile; Gene Expression Profiling; Genes; Genomics; Goals; Growth; Image; In Situ Hybridization; Lead; Learning; Life; Longitudinal Studies; Memory; Messenger RNA; Modification; Molecular; Molecular Probes; Monitor; Motor Neurons; Neurites; Neurobiology; Neuronal Plasticity; Neurons; Neurosciences; Pattern; Phase; Phenotype; Physiological; Population; Presynaptic Terminals; Process; RNA; Regulator Genes; Research; Research Personnel; Resolution; Role; Scheme; Sensory; Serotonin; Signal Transduction; Staging; Synapses; Synaptic Transmission; Synaptic plasticity; System; Technology; Testing; Time; Transcript; Variant; base; cost; design; digital; functional genomics; gene function; innovation; nervous system disorder; neuronal growth; new technology; novel; research and development; single cell analysis; synaptogenesis; tool; transcriptomics

DESCRIPTION (provided by investigator): The objectives of the proposed research are the development of new molecular engineering technologies for large-scale gene expression analysis from single neurons, and applications of these technologies to identify and characterize genes that are involved in long-term synaptic plasticity and growth. We will combine research expertise in Chemistry, Engineering and Biology to pursue the research and development of the following new molecular engineering approaches: (i) Massive Parallel DNA Sequencing Chip System for digital gene expression analysis from single cells and cell compartments; and (ii) Novel Molecular Probes for Real-time monitoring of multiple mRNA species in living neurons and defined cellular microdomains. Each of these technologies will be rigorously tested and validated using the simpler memory-forming network of Aplysia, a unique model organism for neurobiology. As a "proof-of concept", we will focus on using these approaches for the identification of gene-regulatory networks underlying the learning-induced synaptic growth. Specifically, we will characterize a molecular cascade of events induced by serotonin, leading to the formation of new synapses and a long-term enhancement of synaptic strength also known as cellular manifestations of learning and memory mechanisms. The long-term goal of this project is to implement these new technologies to explore two fundamental brain mechanisms: (1) the molecular basis of neuronal growth; (2) the molecular signals controlling synapse-specific neuronal plasticity. Using the sensory neurons of the neuronal networks in Aplysia as an experimental model, we will study the role of asymmetric mRNA distribution in integrative functions and phenotypes of eukaryotic cells. We will use a hierarchical design to achieve structural resolution of single-cell profiling in a descending fashion, where a parallel genomic and functional analysis will be performed according to the following scheme: single neuron->single axon->single synapse. The gene expression profiling will be validated using a set of complementary approaches, correlated with functional imaging of selected mRNAs at functionally characterized neurons and synaptic terminals during various stages of 5-HT induced synaptic growth. The combined approach based on Chemistry, Engineering, and Neuroscience will be used to understand how neurons and synapses operate in the context of learning and memory. The technologies developed and the biological discoveries made in the project will have a broad impact in deciphering the molecular mechanisms of neurological disorders.

描述（研究人员提供）：拟议研究的目标是开发单个神经元的大规模基因表达分析的新分子工程技术，以及这些技术的应用，以识别和表征与长期突触的基因可塑性和生长。 我们将结合化学，工程和生物学方面的研究专业知识，以追求以下新分子工程方法的研究和开发：（i）单个细胞和细胞室的大量平行DNA测序系统用于数字基因表达分析； （ii）新的分子探针，用于实时监测活神经元中多种mRNA物种和定义的细胞微域。 这些技术中的每一个都将通过Aplysia的简单记忆形成网络进行严格测试和验证，Aplysia是一种独特的神经生物学模型生物体。 作为“概念验证”，我们将专注于使用这些方法来识别学习引起的突触增长的基因调节网络。 具体而言，我们将表征由5-羟色胺诱导的事件的分子级联，导致形成新的突触，并长期增强突触强度，也称为学习和记忆机制的细胞表现。 该项目的长期目标是实施这些新技术来探索两种基本的大脑机制：（1）神经元生长的分子基础； （2）控制突触特异性神经元可塑性的分子信号。 我们将使用Aplysia中神经元网络的感觉神经元作为实验模型，我们将研究不对称mRNA分布在整合功能和真核细胞表型中的作用。 我们将使用层次设计以降序的方式实现单细胞分析的结构分辨率，在此过程中，将根据以下方案进行平行的基因组和功能分析：单神经元 - >单轴 - >单轴突 - >单个突触。 将使用一组互补方法对基因表达分析进行验证，与在5-HT诱导的突触生长的各个阶段的功能表征神经元和突触末端的选定mRNA的功能成像相关。 基于化学，工程和神经科学的组合方法将用于了解神经元和突触如何在学习和记忆的背景下运作。 开发的技术和项目中的生物学发现将对破译神经系统疾病的分子机制产生广泛的影响。