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Neurodegeneration cell per cell

Authors: Balusu, Sriram; Praschberger, Roman; Lauwers, Elsa; De Strooper, Bart; Verstreken, Patrik;

Neurodegeneration cell per cell

Abstract

The clinical definition of neurodegenerative diseases is based on symptoms that reflect terminal damage of specific brain regions. This is misleading as it tells little about the initial disease processes. Circuitry failures that underlie the clinical symptomatology are themselves preceded by clinically mostly silent, slowly progressing multicellular processes that trigger or are triggered by the accumulation of abnormally folded proteins such as Aβ, Tau, TDP-43, and α-synuclein, among others. Methodological advances in single-cell omics, combined with complex genetics and novel ways to model complex cellular interactions using induced pluripotent stem (iPS) cells, make it possible to analyze the early cellular phase of neurodegenerative disorders. This will revolutionize the way we study those diseases and will translate into novel diagnostics and cell-specific therapeutic targets, stopping these disorders in their early track before they cause difficult-to-reverse damage to the brain.

Countries
United Kingdom, Belgium
Keywords

ALPHA-SYNUCLEIN, NEURONAL VULNERABILITY, 1702 Cognitive Sciences, SENILE DEMENTIA, tau Proteins, single-cell sequencing, PARKINSONS-DISEASE, Alzheimer Disease, Humans, GENOME-WIDE ASSOCIATION, A-BETA, GENE-EXPRESSION, Science & Technology, Neurology & Neurosurgery, Neurosciences, neurodegeneration, Brain, MOUSE MODEL, RISK LOCI, ALZHEIMERS-DISEASE, 1701 Psychology, 5202 Biological psychology, 3209 Neurosciences, Parkinson’s disease, alpha-Synuclein, Neurosciences & Neurology, 1109 Neurosciences, Life Sciences & Biomedicine, Alzheimer’s disease

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
34
Top 10%
Average
Top 1%
Green