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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. Troyanskaya
  • Paul Greengard

Research output: Contribution to journalArticlepeer-review

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

  • General Neuroscience

Keywords

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

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