Research ArticleOriginal Article
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Analysis of key lncRNA related to Parkinson’s disease based on gene co-expression weight networks

Wenwen Liang, Wei Zhao, Binghan Li, Jiaying Luo, Xuemei Li and Weihua Jia
Neurosciences Journal January 2025, 30 (1) 20-29; DOI: https://doi.org/10.17712/nsj.2025.1.20230112

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Figures

  • Figure 1
    Figure 1

    - Differentially expressed genes (DEGs) in PD tissues. A, B) Volcano plots showed the distribution of DEGs in GSE7621a and GSE133347 B,C, D) Heatmaps show the significantly up- and downregulated DEGs in C) GSE7621 and D) GSE133347.

  • Figure 2
    Figure 2

    - Construction of weighted gene co-expression network. A) Analysis of network topology for soft thresholding parameters, B) Gene clustering tree obtained by hierarchies of adjacency-based dissimilarities; C) Adjacency identification of clinical features combined with modular genes.

  • Figure 3
    Figure 3

    - GO enrichment and KEGG signaling pathway analyses. A) GO enrichment analysis of genes in the Turquoise module; B) GO enrichment analysis of DEGs between patients and normal samples in GSE133347; C) KEGG signaling pathway analysis of genes in the Turquoise module; D) KEGG signaling pathway analysis of DEGs between patients and normal samples in GSE133347.

  • Figure 4
    Figure 4

    - Cytoscape-Generated PPI Network. A) PPT network of Turquoise module genes; B) PPI network of DEGs in GSE133347.

  • Figure 5
    Figure 5

    - Identification and validation of key genes. A) Venn diagram of common gene analysis between Turquoise module genes and DEGs in GSE133347. B-C) ROC curves of key genes. B) for CH17-189H20.1z and RP11-168O16.1

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