Integration of functional genomics data to uncover cell type-specific pathways affected in Parkinson's disease.
Parkinsons disease
computational biology
data integration
single cells
Journal
Biochemical Society transactions
ISSN: 1470-8752
Titre abrégé: Biochem Soc Trans
Pays: England
ID NLM: 7506897
Informations de publication
Date de publication:
01 11 2021
01 11 2021
Historique:
received:
24
06
2021
revised:
25
08
2021
accepted:
31
08
2021
pubmed:
29
9
2021
medline:
22
2
2022
entrez:
28
9
2021
Statut:
ppublish
Résumé
Parkinson's disease (PD) is the second most prevalent late-onset neurodegenerative disorder worldwide after Alzheimer's disease for which available drugs only deliver temporary symptomatic relief. Loss of dopaminergic neurons (DaNs) in the substantia nigra and intracellular alpha-synuclein inclusions are the main hallmarks of the disease but the events that cause this degeneration remain uncertain. Despite cell types other than DaNs such as astrocytes, microglia and oligodendrocytes have been recently associated with the pathogenesis of PD, we still lack an in-depth characterisation of PD-affected brain regions at cell-type resolution that could help our understanding of the disease mechanisms. Nevertheless, publicly available large-scale brain-specific genomic, transcriptomic and epigenomic datasets can be further exploited to extract different layers of cell type-specific biological information for the reconstruction of cell type-specific transcriptional regulatory networks. By intersecting disease risk variants within the networks, it may be possible to study the functional role of these risk variants and their combined effects at cell type- and pathway levels, that, in turn, can facilitate the identification of key regulators involved in disease progression, which are often potential therapeutic targets.
Identifiants
pubmed: 34581766
pii: 229857
doi: 10.1042/BST20210128
pmc: PMC8589426
doi:
Substances chimiques
SNCA protein, human
0
alpha-Synuclein
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
2091-2100Subventions
Organisme : Medical Research Council
Pays : United Kingdom
Informations de copyright
© 2021 The Author(s).
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