bioRxivNeurosciencePreprint
Molecular Networks and Key Regulators of the Dysregulated Neuronal System in Alzheimer’s Disease
Minghui WangiD, Aiqun LiiD, Michiko SekiyaiD, Noam D. BeckmanniD, Xiuming Quan, Nadine SchrodeiD, Michael B. FernandoiD, Alex Yu, Li ZhuiD, Jiqing Cao, Liwei LyuiD, Emrin HorgusluogluiD, Qian WangiD, Lei Ming GuoiD, Yuanshuo Wang, Ryan A. NeffiD, Won‐Min SongiD, Erming WangiD, Qi Shen, Xianxiao ZhouiD, Ming CheniD, Seok‐Man HoiD, Sezen VatanseveriD, H. Ümit KanıskaniD, Jian Jun JiniD, , Bin ZhangiD
Abstract
To study the molecular mechanisms driving the pathogenesis and identify novel therapeutic targets of late onset Alzheimers Disease (LOAD), we performed an integrative network analysis of whole-genome DNA and RNA sequencing profiling of four cortical areas, including the parahippocampal gyrus, across 364 donors spanning the full spectrum of LOAD-related cognitive and neuropathological disease severities. Our analyses revealed thousands of molecular changes and uncovered for the first-time multiple neuron specific gene subnetworks most dysregulated in LOAD. ATP6V1A, a critical subunit of vacuolar-type H+-ATPase (v-ATPase), was predicted to be a key regulator of one neuronal subnetwork and its role in disease-related processes was evaluated through CRISPR-based manipulation of human induced pluripotent stem cell derived neurons and RNAi-based knockdown in transgenic Drosophila models. This study advances our understanding of LOAD pathogenesis by providing the global landscape and detailed circuits of complex molecular interactions and regulations in several key brain regions affected by LOAD and the resulting network models provide a blueprint for developing next generation therapeutics against LOAD.
- organism: human
- organism: Drosophila
- assay: whole-genome sequencing
- assay: whole-exome sequencing
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 6
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