Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
2021
Meihua Jin | Xiaocen Jin | Hidenori Homma | Kyota Fujita | Hikari Tanaka | Shigeo Murayama | Hiroyasu Akatsu | Kazuhiko Tagawa | Hitoshi Okazawa
Jin et al use dynamic molecular network analysis to characterise the phosphoproteome in mouse models of neurodegenerative disease. Analyzing four models of frontotemporal lobar degeneration and four models of Alzheimer’s disease, they observe conserved signaling networks and confirm a therapeutic effect of human anti-HMGB1, demonstrating the utility of the approach.
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