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Nature Neuroscience
Article
License: implied-oa
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PubMed Central
Article . 2015
Data sources: PubMed Central
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Nature Neuroscience
Article . 2015 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Identification of neurodegenerative factors using translatome–regulatory network analysis

Authors: Lars Brichta; William Shin; Vernice Jackson-Lewis; Javier Blesa; Ee-Lynn Yap; Zachary Walker; Jack Zhang; +5 Authors

Identification of neurodegenerative factors using translatome–regulatory network analysis

Abstract

For degenerative disorders of the CNS, the main obstacle to therapeutic advancement has been the challenge of identifying the key molecular mechanisms underlying neuronal loss. We developed a combinatorial approach including translational profiling and brain regulatory network analysis to search for key determinants of neuronal survival or death. Following the generation of transgenic mice for cell type-specific profiling of midbrain dopaminergic neurons, we established and compared translatome libraries reflecting the molecular signature of these cells at baseline or under degenerative stress. Analysis of these libraries by interrogating a context-specific brain regulatory network led to the identification of a repertoire of intrinsic upstream regulators that drive the dopaminergic stress response. The altered activity of these regulators was not associated with changes in their expression levels. This strategy can be generalized for the identification of molecular determinants involved in the degeneration of other classes of neurons.

Country
Spain
Keywords

Male, Parkinson's Disease, Dopaminergic Neurons, Mice, Transgenic, Neurodegenerative Diseases, Article, Mice, Inbred C57BL, Substantia Nigra, Mice, SATB1, Ciencias Biomédicas, 32 Ciencias Médicas, Mesencephalon, Protein Biosynthesis, Animals, Neurodegeneration, Nerve Net

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    114
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
114
Top 1%
Top 10%
Top 1%
Green
hybrid