Uncovering cell-type-specific driver genes of Alzheimer's Disease by pathology-indexing scRNA-seq, spatial transcriptomics, and CRISPR screens
Uncovering cell-type-specific driver genes of Alzheimer's Disease by pathology-indexing scRNA-seq, spatial transcriptomics, and CRISPR screens
批准号:
10605280
负责人:
Yanling Wang
金额:
$74.42万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-04-15 至 2027-03-31
关键词:
AccelerationAffectAlzheimer&aposs DiseaseAlzheimer&aposs disease brainAlzheimer&aposs disease diagnosisAlzheimer&aposs disease pathologyAlzheimer&aposs disease patientAntibodiesAstrocytesAutopsyBar CodesBiotechnologyBrainBrain regionCRISPR screenCalibrationCandidate Disease GeneCatalogingCell ShapeCell modelCellsCellular StressChronicClustered Regularly Interspaced Short Palindromic RepeatsComputer AnalysisComputing MethodologiesDataDementiaDevelopmentDiseaseDisease ProgressionDorsalEnvironmentGene ExpressionGenesGenetic ScreeningGenotypeGuide RNAHippocampusHumanIn VitroIndividualInflammationLateralMeasurementMeasuresMessenger RNAMethodsMicrogliaMolecularMusNeurofibrillary TanglesNeuronsOligonucleotidesParticipantPathogenesisPathologicPathologyPathway interactionsPhenotypePrefrontal CortexResearchResolutionSenile PlaquesSystems BiologyTechnologyTestingapolipoprotein E-3apolipoprotein E-4beta amyloid pathologybrain tissuecandidate identificationcell cortexcell typecellular pathologyclinical diagnosiscombinatorialdeep learningdesigndisease phenotypeextracellulargene networkhuman modelindexinginduced pluripotent stem cellinnovationmouse modelnovelpreventprotein TDP-43responsesingle nucleus RNA-sequencingsingle-cell RNA sequencingstressortau-1therapeutic targettranscriptometranscriptomics
中文摘要
项目摘要
虽然β淀粉样蛋白斑块和神经纤维缠结是目前病理诊断的标准,
阿尔茨海默病(AD),只有9%的临床诊断AD患者具有“纯”AD病理,大多数AD
病例具有混合病理,这显著增加了痴呆症的几率。因为不同的内部和
细胞外病理和应激源有助于AD进展,因此必须跟踪它们如何影响AD进展。
通过将细胞类型特异性的转录组学反应分类为脑内和脑内的各种细胞类型,
AD发病机制中的细胞外病理学。因此,本建议旨在衡量多个
在其原生环境中每种细胞类型的病理学,然后通过以下方式使此信息可操作:
通过计算确定这些影响的驱动因素,并在人类细胞模型中进行测试。为此我们
提出了两种方法来同时测量细胞转录组和多种病理,
数以百万计的单个细胞。第一种方法,“病理索引scRNA-seq”,
专为细胞内病变设计。它结合了单细胞RNA-seq(scRNA-seq)和一组寡核苷酸,
针对细胞内病变的条形码抗体。这种方法使我们能够同时测量
基因表达和多种细胞内病变都在同一个细胞中。第二种方法,“病理学
空间转录组学”是为细胞外病理学设计的。获得1~10个细胞(55-
μM分辨率)与细胞外病理学的空间配准。这使我们能够量化
细胞外病理和微环境对细胞疾病状态的影响。我们将运用这两个创新的
两个大脑区域的测序技术,背外侧前额叶皮层和海马,
ROSMAP参与者的死后大脑。使用单变量、系统生物学和深度
通过学习计算方法,我们将确定驱动细胞类型特异性疾病状态的候选基因。
为了测试预测的早期驱动基因并提供治疗靶点,我们将在2020年进行CRISPR筛选。
来源于对照和AD同基因iPSC系的人皮质细胞模型。总的来说,我们的研究将
AD发病机制中细胞类型特异性驱动基因的重要光,定义导致AD发病的分子途径,
细胞疾病状态,并提供实验验证的目标,以防止疾病状态的转变
早期AD的发展。
英文摘要
PROJECT SUMMARY
Although amyloid-β plaques and neurofibrillary tangles are the current criteria for pathologic diagnosis of
Alzheimer’s Diseases (AD), only 9% of clinically diagnosed AD patients have "pure" AD pathology and most AD
cases have mixed pathologies, which significantly increase the odds of dementia . Because diverse intra- and
extracellular pathologies and stressors contribute to AD progression, it is essential to track how they affect the
various cell types of the brain by cataloging cell-type-specific transcriptomic responses to both intra- and
extracellular pathologies in AD pathogenesis. Therefore, this proposal aims to measure the effects of multiple
pathologies on each cell type in their native environment, then make this information actionable by
computationally identifying the drivers of these effects and testing them in human cell models. To this end, we
propose two approaches to simultaneously measure the cell transcriptomes and multiple pathologies in
millions of individual cells in their native context. The first approach, “pathology-indexing scRNA-seq,” is
designed for intracellular pathologies. It combines single-cell RNA-seq (scRNA-seq) with a set of oligo-
barcoded antibodies against intracellular pathologies. This approach enables us to simultaneously measure
gene expression and multiple intracellular pathologies all in the same cell. The second approach, “pathology
spatial transcriptomics,” is designed for extracellular pathologies. It obtains gene expression of 1~10 cells (55-
μM resolution) in spatial registration with extracellular pathology. This enables us to quantify the effects of
extracellular pathologies and microenvironment on cell disease states. We will apply these two innovative
sequencing technologies to two brain regions, the dorsal lateral prefrontal cortex and hippocampus of
postmortem brains of deeply-phenotyped ROSMAP participants. Using univariate, systems biology, and deep
learning computational methods, we will identify candidate genes that drive cell-type-specific disease states.
To test predicted early driver genes and provide therapeutic targets, we will conduct CRISPR screens in
human cortical cell models derived from control and AD isogenic iPSC lines. Collectively, our study will shed
important light on the cell-type-specific driver genes in AD pathogenesis, define molecular pathways leading to
cell disease-states, and provide experimentally validated targets for preventing the disease-state transition
during early AD development.
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会议论文
Uncovering cell-type-specific driver genes of Alzheimer's Disease by pathology-indexing scRNA-seq, spatial transcriptomics, and CRISPR screens
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批准号:10447348
-
项目类别:
-
资助金额:$76.67万
-
财政年份:2022
-
负责人:Yanling Wang
-
依托单位:
Investigating the Effect of APOE Alleles on Neuro-Immunity of Human Brain Borders in Normal Aging and Alzheimer's Disease Using Single-Cell Multi-Omics and In Vitro Organoids
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批准号:10525070
-
项目类别:
-
资助金额:$78.59万
-
财政年份:2022
-
负责人:Yanling Wang
-
依托单位:
Investigating the Effect of APOE Alleles on Neuro-Immunity of Human Brain Borders in Normal Aging and Alzheimer's Disease Using Single-Cell Multi-Omics and In Vitro Organoids
-
批准号:10688296
-
项目类别:
-
资助金额:$75.43万
-
财政年份:2022
-
负责人:Yanling Wang
-
依托单位:
海外基金