HIGH-RESOLUTION EX VIVO IMAGING OF AN ALZHEIMER'S MOUSE MODEL
HIGH-RESOLUTION EX VIVO IMAGING OF AN ALZHEIMER'S MOUSE MODEL
批准号:
8171559
负责人:
JOANNA L JANKOWSKY
金额:
$1.09万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-01 至 2011-06-30
关键词:
Alzheimer&aposs DiseaseAmyloid depositionAmyloidosisAnimalsAreaAtlasesBrainCollaborationsComplementComputer Retrieval of Information on Scientific Projects DatabaseDataData AnalysesDiseaseFundingGene ExpressionGoalsGrantImageInstitutionMagnetic Resonance ImagingMolecular ProfilingMusNeurodegenerative DisordersResearchResearch PersonnelResolutionResourcesSourceTestingTetanus Helper PeptideTimeUnited States National Institutes of HealthWorkmouse model
中文摘要
这个子项目是许多研究子项目中的一个
由NIH/NCRR资助的中心赠款提供的资源。子项目及
研究者(PI)可能从另一个NIH来源获得了主要资金,
因此可以在其他CRISP条目中表示。所列机构为
研究中心,而研究中心不一定是研究者所在的机构。
本研究使用MR 9 T磁体。MouseBIRN协作组寻求试验台案例,以生成一个可搜索的在线图谱,该图谱结合了神经退行性疾病小鼠模型的基因表达和3D MRI图像。 我们希望在这种情况下开发新的tet-off APP小鼠阿尔茨海默病模型。 研究人员已经开始在淀粉样变性进展的多个点上生成tet-off APP小鼠的基因表达谱。 与CIVM合作提出的成像将提供全面的,高分辨率的3D形态学图像,以补充基因表达分析。 我们将把成像工作集中在五个时间点中的两个,一个在淀粉样蛋白沉积开始之前,一个在淀粉样蛋白沉积开始之后。 目标是在每个时间点从5只阿尔茨海默氏症(tet-off APP)和5只对照(tTA)动物中开发平均渲染,其不仅可用作MouseBIRN自动数据分析管道的测试,而且还提供关于随着疾病进展特定脑区的体积和/或结构变化的有价值信息。本研究的数据将通过MouseBIRN网络公开提供。
英文摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center grant funded by NIH/NCRR. The subproject and
investigator (PI) may have received primary funding from another NIH source,
and thus could be represented in other CRISP entries. The institution listed is
for the Center, which is not necessarily the institution for the investigator.
Using MR 9T magnet for this study. The MouseBIRN collaborative group seeks testbed cases to generate a searchable, online atlas that combines gene expression and 3D MRI images of mouse models for neurodegenerative disease. We would like to develop the new tet-off APP mouse model of Alzheimer's disease in this context. Work is already under way to generate gene expression profiles of the tet-off APP mice at multiple points in the progression of amyloidosis. The imaging proposed in collaboration with CIVM would provide comprehensive, high-resolution, 3D morphological images to complement the gene expression analyses. We will focus imaging efforts on two of the five time points assessed for gene expression, one before and one after the onset of amyloid deposition. The goal is to develop an average rendering from 5 Alzheimer's (tet-off APP) and 5 control (tTA) animals at each time point that can be used not only as a test of the MouseBIRN automated data analysis pipeline but also provide valuable information about volumetric and/or structural changes in specific brain areas as the disease progresses. Data from this study will be made publicly available through the MouseBIRN network.
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