Prediction and verification of the AD-FTLD common pathomechanism based on dynamic molecular network analysis
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 ef...
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| Autores principales: | , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/d5e02764078f40b4a23cb0a281d050c6 |
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| Sumario: | 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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