Generation and characterization of novel and highly specific neruonal subtype tra

新颖且高度特异性的神经亚型 tra 的生成和表征

• 批准号: 8033800
• 负责人: ANDRAS NAGY
• 金额: $ 15.57万
• 依托单位: ALLEN INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-15 至 2012-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8033800
• 关键词: Alleles; Area; Atlases; Behavior; Brain; Brain region; Communities; Databases; Development; Disease; Gene Expression; Gene Targeting; Generations; Genes; Grant; Health; Image; Institutes; Label; Mining; Modeling; Molecular; Mus; Neocortex; Neurons; Neurosciences; Neurosciences Research; Physiology; Population; Reporter; Research; Resolution; Series; Specificity; System; Technology; Testing; Time; Transgenic Mice; Transgenic Organisms; cell type; combinatorial; genetic manipulation; genome-wide; novel; tool

DESCRIPTION (provided by applicant): The utility of transgenic tools that can selectively label each particular type of neuron, and furthermore, selectively inactivate genes or manipulate the activity of one type of neuron at a time, has high impact in many different areas of neuroscience research. Current approaches taken by many, e.g. the Cre-driver line creation, usually utilize genes relatively specifically expressed in certain cell types. However, such "marker" genes rarely label a really specific neuronal population. It is highly desirable to further refine the target specificity into a particular region or a specific population of neurons. To achieve this we propose to systematically evaluate a number of combinatorial strategies and develop a series of transgenic tools to drive highly specific gene expression through the intersection of the expression of 2 marker genes. Through mining our genome-wide database, Allen Brain Atlas, Dr. Zeng and colleagues have identified a large set of gene markers for different cortical cell types. Dr. Nagy has developed a set of gene targeting and allele replacement strategies for expressing multiple genes efficiently. Allen Institute has a high throughput ISH platform and capability of high resolution image acquisition and databasing. By combining the superb technologies developed by both parties, we will examine the colocalization of different marker genes by double fluorescent ISH (dFISH), create both driver and reporter/responder mouse lines to test different intersection strategies, and use the dFISH again to systematically characterize and database where the controlled gene expression occurs in the entire mouse brain. In this grant we will use the neocortex as a model to establish the technology. Once completed, it can be applied easily into other brain regions as well. PUBLIC HEALTH RELEVANCE: Studying the extreme complexity of the brain demands ways to tease apart its components. Traditional transgenic tools have been widely used in every area of neuroscience research. Our proposed research will provide two types of powerful tools to the neuroscience community: transgenic mouse lines that can direct genetic manipulation to highly specific neuronal populations, and an image database comprehensively documenting where such manipulation occurs. Both of these tools will have major impact on the broad neuroscience community, from molecular to systems neuroscience, from development to behavior studies, from studies of normal brain physiology to disease mechanisms.

描述（由申请人提供）：转基因工具的效用可以选择性地标记每种特定类型的神经元，并且此外，选择性地标记基因或一次操纵一种类型的神经元的活性，在神经科学研究的许多不同领域具有很高的影响。目前许多人采用的方法，例如Cre-driver line创建，通常利用在某些细胞类型中相对特异性表达的基因。然而，这种“标记”基因很少标记真正特定的神经元群体。非常希望进一步将靶特异性细化到特定区域或特定神经元群体中。为了实现这一目标，我们建议系统地评估一些组合策略，并开发一系列转基因工具，通过2个标记基因的表达的交叉来驱动高度特异性的基因表达。通过挖掘我们的全基因组数据库，艾伦脑图谱，曾博士和同事们已经确定了不同皮层细胞类型的大量基因标记。Nagy博士开发了一套基因靶向和等位基因置换策略，用于有效表达多个基因。艾伦研究所拥有高通量ISH平台和高分辨率图像采集和数据库的能力。通过结合双方开发的精湛技术，我们将通过双荧光ISH（dFISH）检查不同标记基因的共定位，创建驱动和报告/响应小鼠品系以测试不同的交叉策略，并再次使用dFISH系统地表征和数据库控制基因表达发生在整个小鼠大脑中。在这项资助中，我们将使用新皮层作为建立技术的模型。一旦完成，它也可以很容易地应用到其他大脑区域。公共卫生相关性：研究大脑的极端复杂性需要找到分离其组成部分的方法。传统的转基因工具已广泛应用于神经科学研究的各个领域。我们提出的研究将为神经科学界提供两种类型的强大工具：转基因小鼠品系，可以将遗传操作引导到高度特异性的神经元群体，以及全面记录这种操作发生的图像数据库。这两种工具将对广泛的神经科学界产生重大影响，从分子到系统神经科学，从发育到行为研究，从正常大脑生理学到疾病机制的研究。

项目成果

A robust and high-throughput Cre reporting and characterization system for the whole mouse brain.

• DOI: 10.1038/nn.2467
• 发表时间: 2010-01
• 期刊: Nature neuroscience
• 影响因子: 25
• 作者: Madisen L;Zwingman TA;Sunkin SM;Oh SW;Zariwala HA;Gu H;Ng LL;Palmiter RD;Hawrylycz MJ;Jones AR;Lein ES;Zeng H
• 通讯作者: Zeng H

Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.

• DOI: 10.1016/j.neuron.2015.02.022
• 发表时间: 2015-03-04
• 期刊: NEURON
• 影响因子: 16.2
• 作者: Madisen, Linda;Garner, Aleena R.;Shimaoka, Daisuke;Chuong, Amy S.;Klapoetke, Nathan C.;Li, Lu;van der Bourg, Alexander;Niino, Yusuke;Egolf, Ladan;Monetti, Claudio;Gu, Hong;Mills, Maya;Cheng, Adrian;Tasic, Bosiljka;Thuc Nghi Nguyen;Sunkin, Susan M.;Benucci, Andrea;Nagy, Andras;Miyawaki, Atsushi;Helmchen, Fritjof;Empson, Ruth M.;Knoepfel, Thomas;Boyden, Edward S.;Reid, R. Clay;Carandini, Matteo;Zeng, Hongkui
• 通讯作者: Zeng, Hongkui

Long-Term Optical Access to an Estimated One Million Neurons in the Live Mouse Cortex.

• DOI: 10.1016/j.celrep.2016.12.004
• 发表时间: 2016-12-20
• 期刊: Cell reports
• 影响因子: 8.8
• 作者: Kim TH;Zhang Y;Lecoq J;Jung JC;Li J;Zeng H;Niell CM;Schnitzer MJ
• 通讯作者: Schnitzer MJ

A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality.

• DOI: 10.1016/j.cell.2018.06.035
• 发表时间: 2018-07-12
• 期刊: Cell
• 影响因子: 64.5
• 作者: Daigle TL;Madisen L;Hage TA;Valley MT;Knoblich U;Larsen RS;Takeno MM;Huang L;Gu H;Larsen R;Mills M;Bosma-Moody A;Siverts LA;Walker M;Graybuck LT;Yao Z;Fong O;Nguyen TN;Garren E;Lenz GH;Chavarha M;Pendergraft J;Harrington J;Hirokawa KE;Harris JA;Nicovich PR;McGraw MJ;Ollerenshaw DR;Smith KA;Baker CA;Ting JT;Sunkin SM;Lecoq J;Lin MZ;Boyden ES;Murphy GJ;da Costa NM;Waters J;Li L;Tasic B;Zeng H
• 通讯作者: Zeng H

Mouse transgenic approaches in optogenetics.

• DOI: 10.1016/b978-0-444-59426-6.00010-0
• 发表时间: 2012
• 期刊: PROGRESS IN BRAIN RESEARCH
• 作者: Zeng, Hongkui;Madisen, Linda
• 通讯作者: Madisen, Linda