A multiscale investigation of the living human brain
对活人大脑的多尺度研究
基本信息
- 批准号:10668271
- 负责人:
- 金额:$ 66.26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-15 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAgeAlzheimer&aposs disease related dementiaAutopsyBilateralBiologyBiopsyBrainCellsCessation of lifeCohort AnalysisCommunitiesDataData AnalysesData SetDeep Brain StimulationDimensionsFundingGenderGenerationsGenomeGenomicsGenotypeGoalsHumanIndividualInvestigationKnowledgeMedical HistoryModernizationMolecularMolecular BiologyMolecular ProfilingMultiomic DataNeurobiologyNeurocognitiveOutputParticipantPathogenesisPersonsPhenotypePlayPrefrontal CortexProceduresProcessProteomeProteomicsQuality ControlResolutionResourcesRoleSamplingSiteSpecimenStructureSurveysTissuesUncertaintyWorkbrain tissuecase controlcell typecohortexperimental studygenome-widehuman subjectinnovationinsightlipidomelipidomicsmetabolomemetabolomicsmolecular modelingmultimodal neuroimagingmultiple omicsneuroimagingneuropathologyneuropsychiatrysingle-cell RNA sequencingtraittranscriptometranscriptome sequencingtranscriptomicsvirtual
项目摘要
ABSTRACT
Molecular investigations of Alzheimer’s disease and related dementias over the past decade have largely relied on postmortem specimens due to the inaccessibility of the brain in living people. At least two serious limitations are inherent to this framework. First, the molecular impact of death and the preceding agonal process on the human brain are unknown. This uncertainty looms over the field as a potential confounder of virtually all modern neurobiological studies of Alzheimer’s disease and related dementias in humans. Second, profiling the brain postmortem decouples molecular biology from deep neuropsychiatric assessment and neuroimaging. As a result, a holistic narrative of how molecular biology influences brain structure and functions dysregulated in Alzheimer’s disease and related dementias has failed to emerge. These serious limitations could be addressed by the ability to molecularly profile the brain in living people. Here, we address these serious limitations through the Living Brain Project, wherein we perform comprehensive multiomic molecular profiling of living and postmortem human brain tissue. The primary innovation of the LBP is a safe, scalable procedure for sampling the dorsolateral prefrontal cortex (DLPFC) in living people. We will profile the genome, transcriptome (bulk and single-cell), proteome, metabolome and lipidome in over 500 living and postmortem human subjects. Analyses of this data will identify molecular signatures differentiating the living and postmortem states. We will harness these insights to determine the extent to which they have confounded postmortem studies of Alzheimer’s disease and related dementias. Finally, we will integrate these multiomics datasets with neuroimaging and neurocognitive assessments from the same individuals. To our knowledge, the proposed experiments and analyses will comprise (1) the largest molecular study of the living human brain, (2) the largest molecular comparison of living and postmortem human brain tissues, and (3) the largest effort pairing multiomic molecular profiles of the brain with neuroimaging and deep neurocognitive phenotyping from the same living individuals. We anticipate fundamental advances in knowledge of human brain biology and the pathogenesis of Alzheimer’s disease and related dementias will be made by making this rich dataset freely available to scientific community.
抽象的
由于无法访问活人的大脑,过去十年对阿尔茨海默病和相关痴呆症的分子研究很大程度上依赖于死后标本,该框架至少存在两个严重的局限性:首先,死亡和先前的情况的分子影响。人类大脑的痛苦过程是未知的,这种不确定性笼罩在该领域,成为几乎所有人类阿尔茨海默病和相关痴呆症的现代神经生物学研究的潜在混杂因素。因此,分子生物学如何影响阿尔茨海默病和相关痴呆症的大脑结构和功能失调的整体叙述未能通过分子分析的能力来解决。在这里,我们通过活体大脑项目解决了这些严重的局限性,但我们对活体和死后的人类大脑组织进行了全面的多组学分子分析,LBP 的主要创新是一种安全、可扩展的采样程序。我们将分析 500 多名活体和死后人类受试者的基因组、转录组(整体和单细胞)、蛋白质组、代谢组和脂质组,分析这些数据将识别区分活体的分子特征。我们将利用这些见解来确定它们在多大程度上混淆了阿尔茨海默病和相关痴呆症的死后研究。据我们所知,所提出的实验和分析将包括(1)对活体人类大脑的最大分子研究,(2)对活体和死后人类大脑组织的最大分子比较。 ,(3)将大脑的多组学分子谱与来自同一活体个体的神经影像和深层神经认知表型配对的最大努力,我们预计人类大脑生物学和阿尔茨海默病及相关疾病发病机制的知识将取得根本性进展。痴呆症将通过向科学界免费提供这一丰富的数据集来实现。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A study of gene expression in the living human brain.
对活人大脑中基因表达的研究。
- DOI:
- 发表时间:2023-08-01
- 期刊:
- 影响因子:0
- 作者:Liharska, Lora E;Park, You Jeong;Ziafat, Kimia;Wilkins, Lillian;Silk, Hannah;Linares, Lisa M;Vornholt, Eric;Sullivan, Brendan;Cohen, Vanessa;Kota, Prashant;Feng, Claudia;Cheng, Esther;Moya, Emily;Thompson, Ryan C;Johnson, Jessica S;Rieder
- 通讯作者:Rieder
Comparison of gene expression in living and postmortem human brain.
活体和死后人类大脑中基因表达的比较。
- DOI:
- 发表时间:2023-11-09
- 期刊:
- 影响因子:0
- 作者:Collado;Klei, Lambertus;Liu, Chunyu;Kleinman, Joel E;Hyde, Thomas M;Geschwind, Daniel H;Gandal, Michael J;Devlin, Bernie;Weinberger, Daniel R
- 通讯作者:Weinberger, Daniel R
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ALEXANDER W CHARNEY其他文献
ALEXANDER W CHARNEY的其他文献
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{{ truncateString('ALEXANDER W CHARNEY', 18)}}的其他基金
2/3 Sequencing and Trans-Diagnostic Phenotyping of Severe Mental Illness in Diverse Populations
不同人群中严重精神疾病的 2/3 测序和跨诊断表型
- 批准号:
10503976 - 财政年份:2022
- 资助金额:
$ 66.26万 - 项目类别:
A multiscale investigation of the living human brain
对活人大脑的多尺度研究
- 批准号:
10260466 - 财政年份:2020
- 资助金额:
$ 66.26万 - 项目类别:
A multiscale investigation of the living human brain
对活人大脑的多尺度研究
- 批准号:
10035009 - 财政年份:2020
- 资助金额:
$ 66.26万 - 项目类别:
A multiscale investigation of the living human brain
对活人大脑的多尺度研究
- 批准号:
10450142 - 财政年份:2020
- 资助金额:
$ 66.26万 - 项目类别:
3/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders
3/4:利用与 EHR 相关的生物库进行精神疾病的深度表型分析、多基因风险评分建模和结果分析
- 批准号:
10414027 - 财政年份:2019
- 资助金额:
$ 66.26万 - 项目类别:
3/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders
3/4:利用与 EHR 相关的生物库进行精神疾病的深度表型分析、多基因风险评分建模和结果分析
- 批准号:
10197807 - 财政年份:2019
- 资助金额:
$ 66.26万 - 项目类别:
3/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders
3/4:利用与 EHR 相关的生物库进行精神疾病的深度表型分析、多基因风险评分建模和结果分析
- 批准号:
10633130 - 财政年份:2019
- 资助金额:
$ 66.26万 - 项目类别:
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