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  • 标题:Co-expression network analysis of human tau-transgenic mice reveals protein modules associated with tau-induced pathologies
  • 本地全文:下载
  • 作者:Kazuya Tsumagari ; Yoshiaki Sato ; Aki Shimozawa
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:8
  • 页码:1-25
  • DOI:10.1016/j.isci.2022.104832
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryAbnormally accumulated tau protein aggregates are one of the hallmarks of neurodegenerative diseases, including Alzheimer’s disease (AD). In order to investigate proteomic alteration driven by tau aggregates, we implemented quantitative proteomics to analyze disease model mice expressing humanMAPTP301Stransgene (hTau-Tg) and quantified more than 9,000 proteins in total. We applied the weighted gene co-expression analysis (WGCNA) algorithm to the datasets and explored protein co-expression modules that were associated with the accumulation of tau aggregates and were preserved in proteomes of AD brains. This led us to identify four modules with functions related to neuroinflammatory responses, mitochondrial energy production processes (including the tricarboxylic acid cycle and oxidative phosphorylation), cholesterol biosynthesis, and postsynaptic density. Furthermore, a phosphoproteomics study uncovered phosphorylation sites that were highly correlated with these modules. Our datasets represent resources for understanding the molecular basis of tau-induced neurodegeneration, including AD.Graphical abstractDisplay OmittedHighlights•Large-scale proteome datasets of tauopathy model mice•Protein co-expression network constructed•Four co-expression modules associated with tau-induced pathologies•Identification of phosphorylation sites correlated with the modulesMolecular biology; Omics; Proteomics.
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