Photocleavable Mass-Tags for Spatial Multiomics of Alzheimer’s Brain Tissue
用于阿尔茨海默病脑组织空间多组学的光裂解质量标签
基本信息
- 批准号:10483988
- 负责人:
- 金额:$ 135.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AD transgenic miceAddressAducanumabAffectAgarAlzheimer&aposs DiseaseAlzheimer&aposs disease brainAlzheimer&aposs disease pathologyAlzheimer&aposs disease therapyAmyloid beta-ProteinAntibodiesAutopsyBig DataBiological MarkersBiotechnologyBostonBrain DiseasesBrain imagingCholesterolChronicCollaborationsData AnalysesDementiaDiagnosticDrug TargetingFDA approvedFluorescenceFunctional disorderGoalsHealth Care CostsHospitalsHumanImageImage AnalysisImaging TechniquesImaging technologyImmunohistochemistryInstitutesLabelLectinLettersLinkLipidsMachine LearningMalignant neoplasm of prostateMapsMethodsModelingMolecularMolecular DiseaseMolecular TargetMonoclonal AntibodiesMultiomic DataMusMutationNeurodegenerative DisordersNeuronsPeptidesPersonsPharmaceutical PreparationsPharmacologic SubstancePhasePhospholipidsPhysicsPlayPolysaccharidesProceduresProcessProductionProteinsPublic HealthResearchResearch PersonnelResolutionRoleSamplingSenile PlaquesSourceSpatial DistributionSpecimenSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTissue imagingTissuesTransgenic MiceUncertaintyUniversitiesValidationWomanbasebrain tissuecohortcommercializationdesigndrug candidatehuman diseasehuman old age (65+)innovationinstrumentmalignant breast neoplasmmass spectrometric imagingmolecular imagingmolecular pathologymouse modelmultiple omicsnoveloperationpeptide drugpolypeptidepresenilin-1receptorsmall moleculetau Proteins
项目摘要
Summary/Abstract
Alzheimer's Disease (AD) is a chronic neurodegenerative disorder characterized by progressively worsening
dementia. AD currently affects over 6.2 million persons in the U.S. and approximately 30 million world-wide with
70% over the age of 65. The total public health cost of AD is expected to reach over $20 trillion by 2050. Despite
extensive efforts to develop AD therapies including small molecules, monoclonal antibodies and peptide-based
drugs, only aducanumab, whose efficacy is in doubt, has been approved by the FDA since 2004. A major challenge
is elucidating the molecular pathology involved in AD in order to develop effective early diagnostics and drugs.
While amyloid plaque formation due to aggregation of different Aβ-peptides has been an important focus, a myriad
of other molecules including tau, neuronal and glial receptors, endosomal-lysosomal related proteins, glycans,
phospholipids, cholesterol and metabolites have also been implicated in AD pathology. In order to obtain a detailed
understanding of the possible role of these diverse molecular species as well as the molecular targeting of candidate
drugs, there is an urgent need to develop sufficiently powerful, highly multiplexed and multiomic tissue imaging
techniques that can map at cellular resolution the 2D-spatial distribution and association of these diverse, AD
molecular players. The proposed Phase II project seeks to address this challenge by applying a new highly-
multiplexed, targeted method termed mass spectrometric imaging immunohistochemistry (MSI-IHC™). MSI-
IHC™ is based on the use of novel photocleavable mass-tags (PC-MTs) developed by AmberGen which when linked
to antibody or lectin probes enable targeted biomolecules to be identified in the mass spectrometric image. This
approach significantly exceeds the multiplex capability of fluorescence immunohistochemistry (IHC) and previous
cleavable mass-tag based methods which are generally limited to 5 biomarkers or require extensive cycling
procedures in the case of fluorescence. In addition, the ability to combine MSI-IHC™ with label-free, untargeted
small molecule mass spectrometric imaging (MSI) as well as fluorescence IHC imaging, on the same sample, greatly
extends its power. This is possible using unique double-labeled fluorescent-PC-MT probes and performing 2 rounds
of MSI. Together, these innovations can provide a much more comprehensive multiomic picture of the role of
various molecules in AD pathology. In Phase I, we have demonstrated the feasibility of this approach on mouse and
human brain tissue specimens including the ability to image simultaneously a variety of AD related molecules. In
Phase II we will build on this progress by applying MSI-IHC™ to human and transgenic AD mouse brain tissue
obtained from collaborators and commercial sources. One goal, in collaboration with Prof. R.A. Nixon at NYU, a
leading AD researcher, will be to investigate the role of neuronal endosomal dysfunction, the earliest known
pathobiology specific to AD. Image analysis with be performed using novel statistical physics and AI methods
previously developed for AD tissue and brain imaging.
摘要/摘要
阿尔茨海默氏病(AD)是一种慢性神经退行性疾病,其特征是逐渐担心
失智。广告目前影响美国超过620万人,全球约3000万人
65岁以上的70%。到2050年,AD的总公共卫生成本预计将超过20万亿美元。
广泛的努力开发广告疗法,包括小分子,单克隆抗体和基于胡椒的疗法
自2004年以来,只有毒品,只有阿德卡司纳单抗的有效性就得到了质疑。
为了开发有效的早期诊断和药物,阐明了与AD有关的分子病理。
虽然由于不同Aβ肽的聚集而导致的淀粉样菌斑是一个重要的重点,但无数
其他分子,包括tau,神经元和神经胶质受体,内体 - 溶酶体相关蛋白,聚糖,
AD病理学也暗示了磷脂,胆固醇和代谢产物。为了获得详细的
了解这些不同分子物种的可能作用以及候选者的分子靶向
药物,迫切需要开发足够强大的,高度多重的和多构的组织成像
可以在细胞分辨率绘制的技术2D空间分布和这些潜水员的关联,AD
分子玩家。拟议的第二阶段项目旨在通过应用新的高度 -
多路复用的靶向方法称为质谱成像免疫组织化学(MSI-IHC™)。 ms
IHC™基于使用Ambergen开发的新型光电标记(PC-MT)的使用
对于抗体或讲座问题,可以在质谱图像中识别靶向生物分子。这
方法大大超过了荧光免疫组织化学(IHC)和以前的多重能力
基于可切合的质量标签方法通常限于5个生物标志物或需要大量循环
在荧光的情况下。另外,将MSI-IHC™与无标签,不靶向的能力相结合
小分子质谱成像(MSI)以及荧光IHC成像,在同一样品上
扩展其力量。使用独特的双标签荧光-PC-MT问题并执行2发子弹,这是可能的
MSI。这些创新在一起可以提供更全面的多构图。
AD病理学中的各种分子。在第一阶段,我们已经证明了这种方法在鼠标上的可行性,
人脑组织标本,包括同时对各种AD相关的分子进行图像的能力。在
第二阶段,我们将通过将MSI-IHC™应用于人和转基因AD小鼠脑组织来建立这一进度
从合作者和商业来源获得。一个目标,与R.A.教授合作尼克松在纽约大学
领先的广告研究人员将研究神经元内体功能障碍的作用,最早已知
特定于AD的病理生物学。使用新型统计物理和AI方法进行图像分析
先前用于AD组织和脑成像。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
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Mark Lim其他文献
Mark Lim的其他文献
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{{ truncateString('Mark Lim', 18)}}的其他基金
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A Highly Multiplexed, Multiomic 3D Mouse Brain Map Using MALDI-IHC
使用 MALDI-IHC 绘制高度多重、多组学 3D 小鼠脑图
- 批准号:
10603396 - 财政年份:2022
- 资助金额:
$ 135.5万 - 项目类别:
Photocleavable Mass-Tags for Spatial Multiomics of Alzheimer’s Brain Tissue
用于阿尔茨海默病脑组织空间多组学的光裂解质量标签
- 批准号:
10684250 - 财政年份:2022
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$ 135.5万 - 项目类别:
A Highly Multiplexed, Multiomic 3D Mouse Brain Map Using MALDI-IHC
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