Dopaminergic control of autophagic-lysosomal function implicates Lmx1b in Parkinson's disease-Reference-Cited by-同舟云学术

Dopaminergic control of autophagic-lysosomal function implicates Lmx1b in Parkinson's disease

Published:2015-04-27 Issue:6 Volume:18 Page:826-835
ISSN:1097-6256
Container-title:Nature Neuroscience
language:en
Short-container-title:Nat Neurosci

Author:

Laguna Ariadna,Schintu Nicoletta,Nobre André,Alvarsson Alexandra,Volakakis Nikolaos,Jacobsen Jesper Kjaer,Gómez-Galán Marta,Sopova Elena,Joodmardi Eliza,Yoshitake Takashi,Deng Qiaolin,Kehr Jan,Ericson Johan,Svenningsson Per,Shupliakov Oleg,Perlmann Thomas

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience

Link

http://www.nature.com/articles/nn.4004.pdf

Reference60 articles.

1. Björklund, A. & Dunnett, S.B. Dopamine neuron systems in the brain: an update. Trends Neurosci. 30, 194–202 (2007).

2. Cheng, H.C., Ulane, C.M. & Burke, R.E. Clinical progression in Parkinson disease and the neurobiology of axons. Ann. Neurol. 67, 715–725 (2010).

3. Deneris, E.S. & Hobert, O. Maintenance of postmitotic neuronal cell identity. Nat. Neurosci. 17, 899–907 (2014).

4. Holmberg, J. & Perlmann, T. Maintaining differentiated cellular identity. Nat. Rev. Genet. 13, 429–439 (2012).

5. Kadkhodaei, B. et al. Transcription factor Nurr1 maintains fiber integrity and nuclear-encoded mitochondrial gene expression in dopamine neurons. Proc. Natl. Acad. Sci. USA 110, 2360–2365 (2013).

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