bioRxivNeurosciencePreprint
Single Plaque Proteomics Reveals the Composition and Dynamics of the Amyloid Microenvironment in Alzheimer's Disease
Mengqi Chu, Ju WangiD, Jay M. YarbroiD, Ping-Chung Chen, Him K. ShresthaiD, Huan Sun, Mingming NiuiD, Zhen WangiD, Sarah Harvey, Zhiping WuiD, Yingxue FuiD, Zuo-Fei YuaniD, Tan Haiyan, Anthony A. HighiD, Aijun ZhangiD, Xusheng Wang, Meifen LuiD, Heather SheppardiD, Geidy E. SerranoiD, Thomas G. BeachiD, Gang YUiD, Yun JiaoiD, Junmin PengiD
Abstract
Alzheimers disease (AD) is characterized by amyloid plaques that form complex microenvironments in the brain. However, the molecular composition of these plaques and their temporal regulation are not well defined. Here, we developed a sensitive workflow for quantitative proteomic profiling of single plaques using refined laser capture microdissection and data-independent acquisition mass spectrometry (LCM-DIA-MS). From >200 plaques and control regions in AD mouse models (5xFAD and APP-KI) and human brains, we quantified >7,000 proteins, revealing stage-dependent, cell-type-related remodeling of the amyloid proteome (amyloidome). Temporal profiling uncovered early immune and lysosomal activation followed by engagement of RNA processing and synaptic pathways. Cross-model and cross-species analyses determined a conserved amyloidome including APOE, MDK, PTN, and HTRA1, validated by co-localization in imaging analysis. Network analysis highlighted modules in lipid transport, vesicle organization, and autophagy. These findings establish amyloid plaques as conserved, dynamic multicellular hubs that link amyloid accumulation to downstream cellular events.
- organism: mouse
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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