Gene co-expression network analysis for identifying genetic markers in Parkinson's disease - a three-way comparative approach.
Differential co-expression analysis
Gene expression profile
Gene ontology
Network analysis
Parkinson's disease
α-Synuclein
Journal
Genomics
ISSN: 1089-8646
Titre abrégé: Genomics
Pays: United States
ID NLM: 8800135
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
05
12
2017
revised:
16
04
2018
accepted:
06
05
2018
pubmed:
1
6
2018
medline:
31
12
2019
entrez:
1
6
2018
Statut:
ppublish
Résumé
Parkinson's disease (PD) is a neurodegenerative disorder involving progressive deterioration of dopaminergic neurons. Although few genetic markers for familial PD are known, the etiology of sporadic PD remains poorly understood. Microarray data was analysed for induced pluripotent stem cells (iPSCs) derived from PD patients and mature neuronal cells (mDA) differentiated from these iPSCs. Combining expression and semantic similarity, a highly-correlated PD interactome was constructed that included interactions of established Parkinson's disease marker genes. A novel three-way comparative approach was employed, delineating topologically and functionally important genes. These genes showed involvement in pathways like Parkin-ubiquitin proteosomal system (UPS), immune associated biological processes and apoptosis. Of interest are three genes, eEF1A1, CASK, and PSMD6 that are linked to PARK2 activity in the cell and thereby form attractive candidate genes for understanding PD. Network biology approach delineated in this study can be applied to other neurodegenerative disorders for identification of important genetic regulators.
Identifiants
pubmed: 29852216
pii: S0888-7543(18)30282-9
doi: 10.1016/j.ygeno.2018.05.005
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
819-830Informations de copyright
Copyright © 2018 Elsevier Inc. All rights reserved.