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| Funder | NATIONAL INSTITUTE ON AGING |
|---|---|
| Recipient Organization | Washington University |
| Country | United States |
| Start Date | Jan 01, 2021 |
| End Date | Dec 31, 2022 |
| Duration | 729 days |
| Number of Grantees | 3 |
| Roles | Co-Investigator; Principal Investigator |
| Data Source | NIH (US) |
| Grant ID | 10302162 |
Abstract Alzheimer?s disease (AD) is a complex and heterogenous condition in which multiple molecular pathways are disrupted in different cell-types and lead to disease.
Genetic findings indicate that amyloid-beta protein clearance and degradation pathways, cholesterol metabolism and the immune system are associated with AD etiology. However, the specific mechanism, genes and molecular networks have not yet been completely identified.
Single-nuclei transcriptomic (snRNA-seq) data from human brains provides a detailed molecular atlas to study the pathways dysregulated in AD.
We propose to deepen our understanding of the genes, network and molecular pathways associated with AD by sequencing a high-number of neuronal and glial cells (approximately 3.3 million cells) from human brain carriers of key genetic mutations and high risk variants, non-carrier sporadic AD cases and neuropath-free controls.
We will leverage a unique collection of human tissue from the Dominantly Inherited Alzheimer Network and Knight-ADRC brain banks, and select +220 brains to perform systematic cell- type specific transcriptomic analyses.
This is a unique and innovative study designed to analyze cell-specific transcriptomic dysregulation in carriers of high effect risk variants (TREM2 and APOE) and fully penetrant pathogenic mutations in APP/PSEN1/PSEN2 and by comparing them to sporadic AD cases and neuropath-free controls.
This is a powerful approach to address disease heterogeneity, and will provide highly informative insights into the biology and pathology of neurodegeneration.
Replication of these findings will be performed in snRNA-seq data from induced pluripotent stem cell derived neurons, astrocytes, and microglia-like cells that will be genome edited to add/remove genetic variants, as well as datasets that are being publicly released.
Finally, we will create a knowledge portal in which all of the processed snRNA-seq data from our study will be harmonized with that of other research groups to provide a comprehensive molecular atlas that will provide additional insights into the biology and pathology of AD for the entire research community.
Washington University
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