Cell type-resolved proteomics reveals intra- and intercellular signaling in Alzheimer’s disease

Alzheimer's disease (AD) arises from pathological interactions among diverse brain cell types, but cell-specific proteomic changes remain underexplored. Here, we present deep proteomic profiling of sorted or proximity-labeled brain cells from AD mouse models (5xFAD and App<sup>NL-G-F</sup>) at multiple ages, quantifying 13,411 proteins in microglia (three subtypes), astrocytes, oligodendrocyte precursor cells, and neurons. We identified 3,028 differentially abundant proteins across these cell types, the majority of which were not detected in bulk proteomic datasets, and constructed cell type-specific networks to define functional modules and hub proteins. Comparison with transcriptomic data revealed that ~30% of proteomic changes are RNA-independent. Further analyses uncovered cross-cell type signaling proteins conserved in human AD brains, such as pleiotrophin (Ptn), which is transcriptionally enriched in astrocytes but accumulates in microglia. Importantly, recombinant PTN directly activates induced microglia-like (iMG) human cells. Thus, these findings provide a comprehensive cell type-resolved proteomic atlas of AD models, highlighting novel intra- and intercellular signaling events.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-04
DOI
https://doi.org/10.64898/2026.02.02.703357
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
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article

Cell type-resolved proteomics reveals intra- and intercellular signaling in Alzheimer’s disease

Anthony A. High, Danting Liu, Jiyuan Yang, Jay M. Yarbro et al.
bioRxiv (Cold Spring Harbor Laboratory)
Neuroinflammation and Neurodegeneration Mechanisms
article

Cell type-resolved proteomics reveals intra- and intercellular signaling in Alzheimer’s disease

Anthony A. High, Danting Liu, Jiyuan Yang, Jay M. Yarbro, Him K. Shrestha, P. Chen, Zhen Wang, Ying Zhou, Huan Sun, Yun Jiao, Zhiping Wu, Jiyang Yu, Xusheng Wang, Kaiwen Yu, Zhexing Wen, Zuo-Fei Yuan, Xue Zhang, Liusheng He, Xiaokang Ren, Ju Wang, Junmin Peng, Gang YU, Kiara Harper
article en

Abstract

Alzheimer's disease (AD) arises from pathological interactions among diverse brain cell types, but cell-specific proteomic changes remain underexplored. Here, we present deep proteomic profiling of sorted or proximity-labeled brain cells from AD mouse models (5xFAD and App<sup>NL-G-F</sup>) at multiple ages, quantifying 13,411 proteins in microglia (three subtypes), astrocytes, oligodendrocyte precursor cells, and neurons. We identified 3,028 differentially abundant proteins across these cell types, the majority of which were not detected in bulk proteomic datasets, and constructed cell type-specific networks to define functional modules and hub proteins. Comparison with transcriptomic data revealed that ~30% of proteomic changes are RNA-independent. Further analyses uncovered cross-cell type signaling proteins conserved in human AD brains, such as pleiotrophin (Ptn), which is transcriptionally enriched in astrocytes but accumulates in microglia. Importantly, recombinant PTN directly activates induced microglia-like (iMG) human cells. Thus, these findings provide a comprehensive cell type-resolved proteomic atlas of AD models, highlighting novel intra- and intercellular signaling events.

bioRxiv (Cold Spring Harbor Laboratory)
St. Jude Children's Research Hospital (US), Emory University (US), University of Tennessee Health Science Center (US), The University of Texas Southwestern Medical Center (US)
Openalex Percentile: Top 72%
Neuroinflammation and Neurodegeneration Mechanisms
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