An Automated platform for 3D reconstruction and profiling of post-mortem Alzheimer's Disease brains
用于对死后阿尔茨海默病大脑进行 3D 重建和分析的自动化平台
基本信息
- 批准号:10395363
- 负责人:
- 金额:$ 47.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-30 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAddressAlzheimer&aposs DiseaseAlzheimer&aposs disease brainAlzheimer&aposs disease modelAnatomyAntibodiesAreaAutomobile DrivingAutopsyBackBasic ScienceBiologyBrainCardiacCellsCharacteristicsClientClinicalCollaborationsCommunicable DiseasesCommunitiesComplexComputer softwareDataDatabasesDementiaDensitometryDisciplineDiseaseDyesElderlyExposure toFaceFee-for-Service PlansFeedbackFundingGoalsHistologicHistologyHumanImageIndianaLiver FibrosisMagnetic Resonance ImagingMapsMechanicsMicroscopicMicroscopyMicrotomyMolecularMolecular AnalysisMolecular ProfilingMusNeurodegenerative DisordersNeuronsNeurosciencesNeurosciences ResearchOrganPathologicPathologyPatternPhaseProductionPulmonologyRattusResearchResearch ContractsResearch PersonnelResolutionRodentSamplingSection 8ServicesSliceSlideSmall Business Innovation Research GrantSpecimenStainsSystemTechniquesTechnologyThickThree-Dimensional ImageTissue ModelTissuesUniversitiesValidationVisualization softwareWorkanticancer researchbasebrain tissueclinical applicationdesignfollow-uphuman tissueimage registrationimaging platformimaging systemindexingmouse modelneural circuitnovelparticleprofessorreconstructionrespiratorysecondary analysisterabytethree-dimensional modelingwhole slide imaging
项目摘要
PROJECT SUMMARY
AD is a complex, progressive neurodegenerative disease and is the most common cause of
dementia among the elderly. It has a clear spatial and temporal progression; multiple lines of
evidence show that the degeneration patterns seen in AD are not random but show a
characteristic anatomical sequence as the pathology advances over decades. The mechanisms
that cause these spatial patterns are poorly understood and basic questions about the relative
contributions of microscopic molecular mechanisms versus macroscopic anatomical changes in
driving AD progression remain unclear.
Unfortunately, whole brain techniques like MRI lacks the necessary molecular contrast and
resolution to answer these questions. Histology can reveal the microscopic, molecular
signatures, but is constrained to small 2D sections due to technical limitations with large scale
histology, particularly 3D histology. These limitations make it difficult to map AD progression
and limit the usefulness of post-mortem tissue that might reveal crucial clues about AD.
In this proposal we will address this barrier by providing a fee-for-service sectioning, slice
mounting, staining, and imaging platform that will offer non-specialized labs the ability to
obtain high quality 3D serial section reconstructions of post-mortem human brains up to entire
hemispheres. Specimens can be sent to TissueVision where they will be sectioned at thicknesses
ranging from 50 microns to 2 mm, with alternating block face imaging between sections to help
facilitate 3D reconstruction. Each mounted section is available for further staining and
digitization at high resolution with Whole Slide imaging (WSI) and served over the cloud to the
client with optional 3D modeling. The physical sections can be returned to the client or stored
for further follow-up analyses.
This proposal combines expertise in microscopy and 3D histology at TissueVision with world-
class clinical researchers at Indiana University and builds on existing work at TissueVision. The
section capture and slide mounting is based on existing technology contained within our
TissueCyte 1600FC STPT platform for mouse and rat brains. We also build on a strong
collaboration with Jackson Labs and the MODEL-AD center with an existing TissueVision Phase
II NIA SBIR to map AD spatial progression in mouse model brains. We will extend the
collaboration to clinical collaborators at the Model-AD at Indiana University who will be
supplying post-mortem human tissue and providing guidance and feedback on the histological
quality. While our focus is on AD in this project, the proposed technology will have broad impact
across a wide range of disciplines, from cardiac biology, infectious diseases, cancer, and basic
research.
项目总结
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 }}
Timothy M. Ragan其他文献
Timothy M. Ragan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('Timothy M. Ragan', 18)}}的其他基金
A high throughput multiplexed pipeline for models of Alzheimer’s Disease
用于阿尔茨海默病模型的高通量多重管道
- 批准号:
10766665 - 财政年份:2023
- 资助金额:
$ 47.88万 - 项目类别:
The Development of Tabletop Brain-Mapping Platform
桌面脑图平台的开发
- 批准号:
10487512 - 财政年份:2021
- 资助金额:
$ 47.88万 - 项目类别:
The Development of Tabletop Brain-Mapping Platform
桌面脑图平台的开发
- 批准号:
10395196 - 财政年份:2021
- 资助金额:
$ 47.88万 - 项目类别:
The Development of a High Throughput Whole Brain Alzheimer's Disease Drug Screening Pipeline
高通量全脑阿尔茨海默病药物筛选流程的开发
- 批准号:
10161681 - 财政年份:2018
- 资助金额:
$ 47.88万 - 项目类别:
High Speed Multiphoton Multifocal Whole Brain Imaging
高速多光子多焦全脑成像
- 批准号:
9358345 - 财政年份:2014
- 资助金额:
$ 47.88万 - 项目类别:
High Speed Multiphoton Multifocal Whole Brain Imaging
高速多光子多焦全脑成像
- 批准号:
8781939 - 财政年份:2014
- 资助金额:
$ 47.88万 - 项目类别:
相似海外基金
Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
- 批准号:
MR/S03398X/2 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Fellowship
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
- 批准号:
EP/Y001486/1 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Research Grant
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
- 批准号:
2338423 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Continuing Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
- 批准号:
MR/X03657X/1 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
- 批准号:
2348066 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Standard Grant
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
- 批准号:
2341402 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
- 批准号:
AH/Z505481/1 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10107647 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
EU-Funded
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10106221 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
- 批准号:
AH/Z505341/1 - 财政年份:2024
- 资助金额:
$ 47.88万 - 项目类别:
Research Grant