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

• Verfasst von: Yao, Longping [VerfasserIn]
• Verfasst von: Lin, Kai [VerfasserIn]
• Verfasst von: Zheng, Zijian [VerfasserIn]
• Verfasst von: Koc, Sumeyye [VerfasserIn]
• Verfasst von: Zhang, Shizhong [VerfasserIn]
• Verfasst von: Lu, Guohui [VerfasserIn]
• Verfasst von: Skutella, Thomas [VerfasserIn]
• Titel: Bioinformatic analysis of genetic factors from human blood samples and postmortem brains in Parkinson’s disease
• Verf.angabe: Longping Yao, Kai Lin, Zijian Zheng, Sumeyye Koc, Shizhong Zhang, Guohui Lu, and Thomas Skutella
• E-Jahr: 2022
• Jahr: 24 December 2022
• Umfang: 18 S.
• Fussnoten: Gesehen am 09.02.2023
• Titel Quelle: Enthalten in: Oxidative medicine and cellular longevity
• Ort Quelle: Austin, Tex. : Landes Bioscience, 2008
• Jahr Quelle: 2022
• Band/Heft Quelle: 2022(2022), Artikel-ID e9235358, Seite 1-18
• ISSN Quelle: 1942-0994
• DOI: doi:10.1155/2022/9235358
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1833798198

Abstract

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.