Nature CommunicationsSystems BiologyPeer-reviewed journal article
An integrative systems-biology approach defines mechanisms of Alzheimer's disease neurodegeneration
Matthew Joseph LeventhaliD, Camila A. ZanellaiD, Byunguk KangiD, Jiajie PengiD, David GritschiD, Zhixiang LiaoiD, Hassan BukhariiD, Tao WangiD, Ping‐Chieh PaoiD, Serwah A. DanquahiD, Joseph BenetatosiD, Ralda NehmeiD, Samouil L. FarhiiD, Li‐Huei TsaiiD, Xianjun DongiD, Clemens R. ScherzeriD, Mel Β. FeanyiD, Ernest FraenkeliD
Abstract
Despite years of intense investigation, the mechanisms underlying neuronal death in Alzheimers disease, the most common neurodegenerative disorder, remain incompletely understood. To define relevant pathways, we integrated the results of an unbiased, genome-scale forward genetic screen for age-associated neurodegeneration in Drosophila with human and Drosophila Alzheimers disease-associated multi-omics. We measured proteomics, phosphoproteomics, and metabolomics in Drosophila models of Alzheimers disease and identified Alzheimers disease human genetic variants that modify expression in disease-vulnerable neurons. We used a network optimization approach to integrate these data with previously published Alzheimers disease multi-omic data. We computationally predicted and experimentally demonstrated how HNRNPA2B1 and MEPCE enhance tau-mediated neurotoxicity. Furthermore, we demonstrated that the screen hits CSNK2A1 and NOTCH1 regulate DNA damage in Drosophila and human iPSC-derived neural progenitor cells. Our work identifies candidate pathways that could be targeted to ameliorate neurodegeneration in Alzheimers disease.
- organism: Drosophila
- organism: human
- assay: proteomics
- assay: metabolomics
- assay: multiome
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- research focus: variant effect prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 28
- FWCI
- 17.23
- Field percentile
- top 1%
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