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Bioinformatic analysis of genetic factors from human blood samples and postmortem brains in Parkinson’s disease

Parkinson’s disease (PD) is one of the most prevalent neurodegenerative disorders characterized by motor and nonmotor symptoms due to the selective loss of midbrain dopaminergic neurons. Pharmacological and surgical interventions have not been possible to cure PD; however, the cause of neurodegenera...

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Bibliographic Details
Main Authors: Yao, Longping (Author) , Lin, Kai (Author) , Zheng, Zijian (Author) , Koc, Sumeyye (Author) , Zhang, Shizhong (Author) , Lu, Guohui (Author) , Skutella, Thomas (Author)
Format: Article (Journal)
Language:English
Published: 24 December 2022
In: Oxidative medicine and cellular longevity
Year: 2022, Volume: 2022, Pages: 1-18
ISSN:1942-0994
DOI:10.1155/2022/9235358
Online Access:Resolving-System, Volltext: https://doi.org/10.1155/2022/9235358
Verlag, Volltext: https://www.hindawi.com/journals/omcl/2022/9235358/
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Author Notes:Longping Yao, Kai Lin, Zijian Zheng, Sumeyye Koc, Shizhong Zhang, Guohui Lu, and Thomas Skutella
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Summary:Parkinson’s disease (PD) is one of the most prevalent neurodegenerative disorders characterized by motor and nonmotor symptoms due to the selective loss of midbrain dopaminergic neurons. Pharmacological and surgical interventions have not been possible to cure PD; however, the cause of neurodegeneration remains unclear. Here, we performed and tested a multitiered bioinformatic analysis using the GEO and Proteinexchange database to investigate the gene expression involved in the pathogenesis of PD. Then we further validated individual differences in gene expression in whole blood samples that we collected in the clinic. We also made an interaction analysis and prediction for these genetic factors.
Item Description:Gesehen am 09.02.2023
Physical Description:Online Resource
ISSN:1942-0994
DOI:10.1155/2022/9235358

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