Single-cell multi-region dissection of AD-pathogen interactions for HSV-1 and CMV

HSV-1 和 CMV AD 病原体相互作用的单细胞多区域解剖

基本信息

批准号：
10607814
负责人：
Manolis Kellis
金额：
$ 78.61万
依托单位：
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-02-01 至 2028-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10607814
关键词：
3-Dimensional Address Affect Alzheimer&apos s Disease Alzheimer&apos s disease model Alzheimer&apos s disease pathology Alzheimer&apos s disease risk Amyloid beta-Protein Atlases Autopsy Biological Assay Blood Vessels Brain Brain region COVID-19 pandemic CRISPR interference Cell Communication Cell Survival Cells Central Nervous System Coculture Techniques Complex Computing Methodologies Cytomegalovirus Cytomegalovirus Infections Data Data Set Dementia Development Disease Disease Progression Dissection Environmental Impact Etiology Family Foundations Gene Expression Profile Gene Expression Profiling Gene Expression Regulation Genes Genetic Genetic Risk Genetic Transcription Goals Healthcare Herpesvirus 1 Hippocampus Human Immune Immune response Impaired cognition Individual Infection Intervention Joints Life Link Maps Mediating Memory Loss Messenger RNA Microglia Modeling Molecular Molecular Mechanisms of Action Mus Neurodegenerative Disorders Neurons Organoids Pathogenicity Pathologic Pathway interactions Phenotype Post-Translational Protein Processing Regulatory Element Research Resolution Resources Role Sampling Severities Simplexvirus Testing Transcription Alteration Validation Virus abeta deposition antimicrobial peptide base brain cell care burden causal variant cell type cerebrovascular data integration frontal lobe genetic risk factor induced pluripotent stem cell neuroinflammation novel therapeutics pathogen personalized medicine personalized therapeutic protein expression risk variant sex single nucleus RNA-sequencing single-cell RNA sequencing small molecule therapeutics

项目摘要

Abstract Alzheimer’s disease (AD) is a neurodegenerative disorder that leads to dramatic effects on the affected individuals and their families. While the characterization of the genetic contribution to AD and underlying molecular mechanisms has advanced the understanding of the disease in recent years, studies have failed to find definitive mechanisms that account for disease progression. The influence of pathogens on AD potentially mediates an environmental impact on the established genetic contributions to AD. Here, we directly dissect the contribution of pathogen-related effects down to the cell-type-specific molecular basis by systematic profiling, computational integration, and experimental validation of the transcriptional signatures across individuals, brain regions, and cell types. In Aim 1, we use scRNA-seq in human, mouse, and human iPSC brain organoid samples of AD that are infected with Herpes Simplex Virus 1 or Cytomegalovirus (HSV-1/CMV) to generate millions of single- cell (sc) level maps with the end goal of a transcriptional atlas. In Aim 2, we analyze the resulting datasets and underlying molecular mechanisms, enabling us to discover and converge genes, pathways, cell types, and brain regions to functional and causal mechanisms that drive pathogen-related alterations. In Aim 3, we use our well-established iPSC model to test our predicted mechanisms with both high-throughput and cell-type specific assays. The resulting datasets, computational predictions, and experimentally-supported mechanisms will shed light on the pathogen-related influences on AD pathology and will help deepen our understanding of the disease in general as we develop more personalized therapeutic approaches to treating AD.

抽象的阿尔茨海默氏病（AD）是一种神经退行性疾病，会对受影响的受影响产生巨大影响个人及其家人。而遗传贡献对AD和基础的表征近年来，分子机制已经提高了对疾病的理解，研究未能找到解释疾病进展的确定机制。病原体对AD的影响可能有可能调解对既定的AD遗传贡献的环境影响。在这里，我们直接剖析了与病原体相关的作用的贡献通过系统分析，降低对细胞类型的分子基础的贡献，计算整合以及对个体的转录特征的实验验证，大脑区域和细胞类型。在AIM 1中，我们在人类，小鼠和人IPSC脑器官样本中使用SCRNA-SEQ 被单纯疱疹病毒1或巨细胞病毒（HSV-1/CMV）感染的广告单元格（SC）级别图，其最终目标是转录地图集的最终目标。在AIM 2中，我们分析了结果数据集和潜在的分子机制，使我们能够发现和收敛基因，途径，细胞类型和大脑区域到驱动病原体相关改变的功能和因果机制。在AIM 3中，我们使用我们建立的IPSC模型以高通量和细胞类型测试我们的预测机制具体测定。最终的数据集，计算预测和实验支持的机制将阐明与病原体相关的对AD病理学的影响，并将有助于加深我们对总体而言，当我们开发更个性化的治疗方法时，该疾病。