Immune and Autophagy-Related Gene Expression in Postmenopausal Osteoporosis Patients

Zhanfeng Zhang's dataset contains analysis results for identifying key genes linking immune dysregulation and autophagy in postmenopausal osteoporosis (PMO). The data includes three hub genes (CDK2, DDIT3, MAPK8), a diagnostic model with an AUC of 0.91, and results from functional enrichment, immune infiltration, regulatory network, drug prediction, and single-cell RNA sequencing analyses. It was last updated on 2026-06-01.

Use Cases

• Validate a diagnostic model for postmenopausal osteoporosis based on the identified hub genes DDIT3 and MAPK8.
• Analyze correlations between gene expression and altered immune cell infiltration in bone marrow.
• Investigate regulatory networks involving transcription factors and microRNAs for the identified hub genes.
• Identify potential therapeutic drugs targeting the hub genes CDK2, DDIT3, and MAPK8.
• Study dynamic gene expression patterns during bone marrow mesenchymal stem cell differentiation using pseudotemporal analysis results.

Strengths

• Includes a validated diagnostic model with a reported AUC of 0.91.
• Integrates multiple analysis methods: differential expression, protein-protein interaction networks, functional enrichment, and single-cell RNA sequencing.
• Contains in vivo validation data from an ovariectomized mouse model assessing bone density and gene expression.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 341.9 KB, indicating limited raw data scope.

Provenance

Source

Author: Zhanfeng Zhang. Platform: figshare.

Collection Method

Analysis of gene expression data integrating limma, WGCNA, and public autophagy-related gene sets.

Freshness

Last updated 2026-06-01 04:17:35; freshness should be verified.