Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis

Jean Pierre Roussarie, Vicky Yao, Patricia Rodriguez-Rodriguez, Rose Oughtred, Jennifer Rust, Zakary Plautz, Shirin Kasturia, Christian Albornoz, Wei Wang, Eric F. Schmidt, Ruth Dannenfelser, Alicja Tadych, Lars Brichta, Alona Barnea-Cramer, Nathaniel Heintz, Patrick R. Hof, Myriam Heiman, Kara Dolinski, Marc Flajolet, Olga G. TroyanskayaPaul Greengard

Research output: Contribution to journalArticle

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Abstract

Neurons display different levels of vulnerability to Alzheimer's pathology. Roussarie et al. experimentally profile and computationally model several relevant neuron types. Using a mouse-human framework, they identify genes linking Aß, aging, and tau in vulnerable neurons. Finally, they show experimentally that PTB, a regulator of tau splicing, contributes to vulnerability.

Original languageEnglish (US)
Pages (from-to)821-835.e12
JournalNeuron
Volume107
Issue number5
DOIs
StatePublished - Sep 9 2020

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

Keywords

  • Alzheimer's disease
  • bacTRAP
  • machine learning
  • network
  • PTBP1
  • selective neuronal vulnerability

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    Roussarie, J. P., Yao, V., Rodriguez-Rodriguez, P., Oughtred, R., Rust, J., Plautz, Z., Kasturia, S., Albornoz, C., Wang, W., Schmidt, E. F., Dannenfelser, R., Tadych, A., Brichta, L., Barnea-Cramer, A., Heintz, N., Hof, P. R., Heiman, M., Dolinski, K., Flajolet, M., ... Greengard, P. (2020). Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis. Neuron, 107(5), 821-835.e12. https://doi.org/10.1016/j.neuron.2020.06.010