Animal Models Core
动物模型核心
基本信息
- 批准号:10306366
- 负责人:
- 金额:$ 35.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-02-15 至 2023-11-30
- 项目状态:已结题
- 来源:
- 关键词:Advisory CommitteesAlgorithmsAnimal ModelAnimalsBehaviorBehavioralBehavioral AssayBiological AssayBlood Chemical AnalysisBlood drug level resultBrainBrain regionCell physiologyCellsChromatinCognitiveCollaborationsCommittee MembersComplexContinuous InfusionCorticosteroneDataDissectionDominant-Negative MutationDrug AddictionEnsureFemaleFiberGene TransferGenesGeneticGenetic TranscriptionGoalsHeroinHumanImageIndividualInjectionsKnock-outLinkMeasurementMeasuresMediatingMicrodissectionModelingMolecularMotivationMusMutant Strains MiceNational Institute of Drug AbuseNeurogliaNeuronsNeurosecretory SystemsOpiate AddictionOpioidPharmaceutical PreparationsPhotometryPlasmaProceduresProcessProgram Research Project GrantsProteinsRNARattusRelapseResearch PersonnelResourcesRodentRodent ModelRoleRunningSelf AdministrationServicesSpecificityStimulantStressSyndromeTestingViral VectorWorkaddictionbehavior testbrain reward regionsbrain tissuecell typechromatin modificationcocaine self-administrationcohortdrug actiondrug cravingdrug relapseexperimental studygene functiongenome-wideheroin usein vivoinhibitorinjection/infusioninterestmalemature animalmeetingsmutantneural circuitneurophysiologynoveloptogeneticsosmotic minipumpoverexpressionsmall hairpin RNAstatisticsstimulant dependencetool
项目摘要
PROJECT SUMMARY/ABSTRACT– ANIMAL MODELS CORE
A main objective of the Animal Models Core is to provide a broad range of behavioral assays of stimulant
and opiate action in mice and rats to support the PPG’s overall goal to establish the molecular and cellular
basis of addiction. Such assays include several routine behavioral tests as well as more sophisticated self-
administration and relapse procedures. It is crucial to employ a broad behavioral battery since it is difficult to
infer something about a complex behavioral syndrome like addiction from a single model or even a limited
number of models. The Core then utilizes these behavioral resources in two main ways. First, the Core
provides microdissections of brain reward regions from rodents that self-administer cocaine or heroin for
molecular-cellular characterization in each Project and the Gene and Chromatin Analysis Core. Second, the
Core works with each of the four Projects to generate causal evidence that directly links specific molecular and
cellular adaptations to particular behavioral abnormalities that define a state of addiction. The Core
accomplishes this goal by providing a range of genetic mutant mice as well as a large number of vectors for
viral-mediated gene transfer, all of which are extensively validated by the Core. The mutant mice and viral
vectors, often generated initially to meet the specific needs of an individual Project, are then provided to other
Projects to broaden their application and thereby promote PPG integration. PPG investigators have led the
field in generating mutant mice and viral vectors, which make it possible to selectively manipulate a given gene
of interest within a particular cell type and brain region of adult animals, thus avoiding confounds with more
traditional approaches. Finally, the Core provides advanced neurophysiology, optogenetic, and fiber
photometry tools to Project investigators to directly relate altered molecular-cellular function to addiction-
related behavioral abnormalities. By consolidating this behavioral, mouse mutant, viral vector, and other work
within a centralized Core, we ensure rigorous control over the data and facilitate comparisons and contrasts of
experimental results across the individual Projects. This consolidation also makes financial sense, since we
concentrate and maximize efficient use of the required expertise.
项目总结/摘要-动物模型核心
动物模型核心的一个主要目标是提供一个广泛的行为分析的兴奋剂
和阿片作用,以支持PPG的总体目标,即建立分子和细胞
成瘾的基础。这些分析包括几个常规的行为测试以及更复杂的自我测试。
给药和复发程序。采用广泛的行为电池是至关重要的,因为很难
从一个单一的模型甚至是有限的模型中推断出一些复杂的行为综合症,比如成瘾,
模型的数量。核心以两种主要方式利用这些行为资源。第一,核心
提供了啮齿动物大脑奖励区域的显微解剖,这些啮齿动物自我服用可卡因或海洛因,
每个项目中的分子细胞表征以及基因和染色质分析核心。二是
核心与四个项目中的每一个项目合作,以产生直接联系特定分子和
细胞对特定行为异常的适应,这些行为异常定义了成瘾状态。核心
通过提供一系列遗传突变小鼠以及大量载体来实现这一目标,
病毒介导的基因转移,所有这些都得到了核心的广泛验证。突变小鼠和病毒
矢量,通常最初是为了满足单个项目的特定需求而生成的,然后提供给其他项目。
扩大其应用范围,从而促进PPG整合的项目。PPG调查人员领导了
在产生突变小鼠和病毒载体领域,这使得有可能选择性地操纵给定的基因
在成年动物的特定细胞类型和大脑区域内的感兴趣的细胞,从而避免与更多的细胞混淆。
传统的方法。最后,核心提供先进的神经生理学,光遗传学和纤维
测光工具,项目调查人员直接涉及改变分子细胞功能成瘾-
相关的行为异常通过巩固这一行为,小鼠突变,病毒载体,和其他工作
在一个集中的核心,我们确保严格控制数据,并促进比较和对比,
在各个项目的实验结果。这种整合也具有财务意义,因为我们
集中并最大限度地有效利用所需的专门知识。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Venetia Zachariou其他文献
Venetia Zachariou的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Venetia Zachariou', 18)}}的其他基金
Cellular Mechanisms of Antidepressant Drug Actions in Neuropathic Pain Models
神经病理性疼痛模型中抗抑郁药物作用的细胞机制
- 批准号:
10830180 - 财政年份:2023
- 资助金额:
$ 35.83万 - 项目类别:
Cellular mechanisms of antidepressant drug actions in neuropathic pain models
神经病理性疼痛模型中抗抑郁药物作用的细胞机制
- 批准号:
10526787 - 财政年份:2022
- 资助金额:
$ 35.83万 - 项目类别:
Cellular mechanisms of antidepressant drug actions in neuropathic pain models
神经病理性疼痛模型中抗抑郁药物作用的细胞机制
- 批准号:
10303381 - 财政年份:2021
- 资助金额:
$ 35.83万 - 项目类别:
A Female Specific Role of RGSz1 in Modulation of Chronic Pain
RGSz1 在调节慢性疼痛中的女性特异性作用
- 批准号:
10441146 - 财政年份:2020
- 资助金额:
$ 35.83万 - 项目类别:
A Female Specific Role of RGSz1 in Modulation of Chronic Pain
RGSz1 在调节慢性疼痛中的女性特异性作用
- 批准号:
10834544 - 财政年份:2020
- 资助金额:
$ 35.83万 - 项目类别:
A Female Specific Role of RGSz1 in Modulation of Chronic Pain
RGSz1 在调节慢性疼痛中的女性特异性作用
- 批准号:
9981335 - 财政年份:2020
- 资助金额:
$ 35.83万 - 项目类别:
Cellular Mechanisms of Antidepressant Drug Actions in Neuropathic Pain Models
神经病理性疼痛模型中抗抑郁药物作用的细胞机制
- 批准号:
10434903 - 财政年份:2019
- 资助金额:
$ 35.83万 - 项目类别:
Cellular mechanisms of antidepressant drug actions in neuropathic pain models
神经病理性疼痛模型中抗抑郁药物作用的细胞机制
- 批准号:
10542571 - 财政年份:2019
- 资助金额:
$ 35.83万 - 项目类别:
Cellular mechanisms of antidepressant drug actions in neuropathic pain models
神经病理性疼痛模型中抗抑郁药物作用的细胞机制
- 批准号:
10532060 - 财政年份:2019
- 资助金额:
$ 35.83万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 35.83万 - 项目类别:
Continuing Grant














{{item.name}}会员




