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Identification of Key Genes and Signaling Pathways in Parkinson's Disease Based on Bioinformatics Analysis
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Jinying LIU1, Pei MA2, Tianshi HU1, Yixin ZHANG1, Zhigeng LI3, Lifeng YUE1, Shuquan LIU4
Chinese Archives of Traditional Chinese Medicine | 2025, 43(11) : 168 - 171
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Chinese Archives of Traditional Chinese Medicine | 2025, 43(11): 168-171
• Target on National Project •
Identification of Key Genes and Signaling Pathways in Parkinson's Disease Based on Bioinformatics Analysis
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Jinying LIU1, Pei MA2, Tianshi HU1, Yixin ZHANG1, Zhigeng LI3, Lifeng YUE1, Shuquan LIU4
Affiliations
  • 1.Dongzhimen Hospital，Beijing University of Chinese Medicine，Beijing 100700，China
  • 2.Institute of Medicinal Plant Developmentaffiliated with Chinese Academy of Medical Sciences，Beijing 100193，China
  • 3.China Academy of Chinese Medical Sciences，Beijing 100700，China
  • 4.Shenyang Second Traditional Chinese Medicine Hospital，Shenyang 110101，Liaoning，China
Published: 2025-11-10 doi: 10.13193/j.issn.1673-7717.2025.11.033
Outline
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Objective

To identify key genes，functional enrichment and signaling pathways associated with Parkinson's disease（PD）using bioinformatics methods.

Methods

The PD microarray dataset GSE7621 was downloaded from the Gene Expression Omnibus（GEO）database. Weighted Gene Co-expression Network Analysis（WGCNA）was employed to screen key gene modules，and the differentially expressed genes（DEGs）were identified using R software. Gene Ontology（GO）and Kyoto Encyclopedia of Genes and Genomes（KEGG）pathway analyses were conducted on the selected DEGs，and the key genes within the DEGs were identified using the STRING database and Cytoscape software.

Results

A total of 133 key genes were identified through WGCNA and DEGscreening. GOand KEGGanalyses indicated that the primary biological processes involved ubiquitination and histone modification. The key genes included CUL7，KAT2A，DDB1，ANAPC7，ATXN7L2，TADA2B，SGF29，PSMB1，RSAD1 and MRPL30.

Conclusion

This study identified several key genes associated with PD through bioinformatics analysis，revealing biological processes and signaling pathways related to ubiquitination，histone modification and the Notch signaling pathway. These findings provide new insights into the molecular mechanisms of Parkinson's disease.

Parkinson's disease  /  gene expression database  /  WGCNA  /  differential gene analysis
刘金瑛, 马培, 胡天时, 张一新, 李志更, 岳利峰, 刘树权. 基于生物信息学筛选帕金森病关键基因与信号通路. 中华中医药学刊, 2025 , 43 (11) : 168 -171 . DOI: 10.13193/j.issn.1673-7717.2025.11.033
Jinying LIU, Pei MA, Tianshi HU, Yixin ZHANG, Zhigeng LI, Lifeng YUE, Shuquan LIU. Identification of Key Genes and Signaling Pathways in Parkinson's Disease Based on Bioinformatics Analysis[J]. Chinese Archives of Traditional Chinese Medicine, 2025 , 43 (11) : 168 -171 . DOI: 10.13193/j.issn.1673-7717.2025.11.033
Appendix
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Year 2025 volume 43 Issue 11
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Article Info
doi: 10.13193/j.issn.1673-7717.2025.11.033
  • Online Date：2026-10-30
  • Published：2025-11-10
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Affiliations
    1.Dongzhimen Hospital，Beijing University of Chinese Medicine，Beijing 100700，China
    2.Institute of Medicinal Plant Developmentaffiliated with Chinese Academy of Medical Sciences，Beijing 100193，China
    3.China Academy of Chinese Medical Sciences，Beijing 100700，China
    4.Shenyang Second Traditional Chinese Medicine Hospital，Shenyang 110101，Liaoning，China
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https://castjournals.cast.org.cn/joweb/zhzyyxk/EN/10.13193/j.issn.1673-7717.2025.11.033
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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