2015
DOI: 10.1016/j.pathophys.2014.10.002
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Analysis of Parkinson's disease pathophysiology using an integrated genomics-bioinformatics approach

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Cited by 19 publications
(9 citation statements)
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“…PD is characterized by death of dopaminergic neurons in the substantia nigra, linked to dysfunctional turnover of mitochondria in these cells (Pickrell and Youle, 2015). Excitingly, NIPSNAP1 was identified as the gene being most significantly downregulated in a report analyzing genome-wide gene expression data of PD diseased and control samples (Fu and Fu, 2015). Moreover, NIPSNAP1 was downregulated in a comparative proteomics study of neural SH-SY5Y cells responding to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) treatment, known to lead to degeneration of dopaminergic neurons (Choi et al, 2014).…”
Section: Ablation Of Nipsnap1 In Zebrafish Causes Parkinsonismmentioning
confidence: 99%
“…PD is characterized by death of dopaminergic neurons in the substantia nigra, linked to dysfunctional turnover of mitochondria in these cells (Pickrell and Youle, 2015). Excitingly, NIPSNAP1 was identified as the gene being most significantly downregulated in a report analyzing genome-wide gene expression data of PD diseased and control samples (Fu and Fu, 2015). Moreover, NIPSNAP1 was downregulated in a comparative proteomics study of neural SH-SY5Y cells responding to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) treatment, known to lead to degeneration of dopaminergic neurons (Choi et al, 2014).…”
Section: Ablation Of Nipsnap1 In Zebrafish Causes Parkinsonismmentioning
confidence: 99%
“…More recently, for the causal network analysis of PD, transcriptomics studies investigating inter-process correlations of individual pathways to determine likely upstream and downstream pathway alterations were presented [220]. Moreover, causal network reconstructions for PD were derived from co-expression analyses [221], and from exploiting prior biological knowledge from canonical networks [222].…”
Section: Pathway-and Network-based Biomarker Modeling For Pd Researchmentioning
confidence: 99%
“…Moreover, causal network reconstructions for PD were derived from co-expression analyses [221], and from exploiting prior biological knowledge from canonical networks [222]. These new causal analytical approaches have revealed robust upstream molecular network perturbations in PD, e.g., affecting RNA metabolism [220], with potential applications in biomarker research for early-stage PD.…”
Section: Pathway-and Network-based Biomarker Modeling For Pd Researchmentioning
confidence: 99%
“…This analysis strategy is built upon the intelligent user-based creation of biomedical domain-specific data clusters curated from GEO, e.g., Crowd Extracted Expression of Differential Signatures (CREEDS) (Wang et al, 2016). These advanced platforms for crowd-sourced H-D data analysis, i.e., CREEDS, GEN3VA, and others [Gene Wiki (Good et al, 2012); BioGPS (Wu et al, 2013)] have already demonstrated their efficacy with respect to assisting biomedical research in multiple aspects of neurodegenerative diseases (Fu and Fu, 2015;Allen et al, 2016), cardiovascular disease (Gottlieb et al, 2015;Scruggs et al, 2015;Rumsfeld et al, 2016), and metabolic dysfunction disorders such as type 1 and type 2 diabetes mellitus (Lau et al, 2016;Fadini et al, 2017;Mudie et al, 2017).…”
Section: Metadata Extraction and Crowd-sourced Curation And Investmentioning
confidence: 99%