Transcriptomics

Dataset Information

0

A systems-biology approach connects aging mechanisms with Alzheimer’s disease pathogenesis [TCPY]


ABSTRACT: Age is the strongest risk factor for developing Alzheimer’s disease, the most common neurodegenerative disorder. However, the mechanisms connecting advancing age to neurodegeneration in Alzheimer’s disease are incompletely understood. We conducted an unbiased, genome-scale, forward genetic screen for age-associated neurodegeneration in Drosophila to identify the underlying biological processes required for maintenance of aging neurons. To connect genetic screen hits to Alzheimer’s disease pathways, we measured proteomics, phosphoproteomics, and metabolomics in Drosophila models of Alzheimer’s disease. We further identified Alzheimer’s disease human genetic variants that modify expression in disease-vulnerable neurons. Through multi-omic, multi-species network integration of these data, we identified relationships between screen hits and tau-mediated neurotoxicity. Furthermore, we computationally and experimentally identified relationships between screen hits and DNA damage in Drosophila and human iPSC-derived neural progenitor cells. Our work identifies candidate pathways that could be targeted to attenuate the effects of age on neurodegeneration and Alzheimer’s disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE261775 | GEO | 2025/02/07

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2025-02-07 | GSE261878 | GEO
2023-10-04 | PXD041862 | Pride
2023-10-03 | GSE231518 | GEO
2019-04-11 | GSE129603 | GEO
2015-02-18 | E-GEOD-65159 | biostudies-arrayexpress
2011-12-23 | E-GEOD-25009 | biostudies-arrayexpress
2015-01-06 | E-GEOD-40418 | biostudies-arrayexpress
2018-07-04 | GSE115606 | GEO
2024-08-05 | GSE267613 | GEO
2024-08-05 | GSE253174 | GEO