GSE94550 Transcriptomic Data for Sorafenib Resistance Analysis via Systems Pharmacology

Ki-Kwang Oh's 2026 study uses the GEO dataset GSE94550 to investigate sorafenib resistance mechanisms. The research identifies APOB and CD44 as key regulatory genes and highlights verbacoside as a potential adjuvant therapy. The 443.0 KB dataset includes results from molecular docking, survival analysis, and PPI network construction.

Use Cases

• Identifying novel drug targets based on differentially expressed genes (log2FC ≥ +2 or ≤ -2)
• Evaluating therapeutic potential of counteracting molecules via molecular docking tests and density functional theory assessments
• Analyzing protein-protein interaction networks to characterize relationships between upregulated and downregulated genes
• Investigating specific signalling pathways, such as ECM-receptor interaction, associated with key targets like CD44

Strengths

• Includes results from multiple analytical methods: molecular docking, Kaplan-Meier survival analysis, and density functional theory
• Identifies specific key targets (APOB, CD44) and a potential therapeutic agent (verbacoside) with clear log2FC thresholds
• Released under a permissive CC-BY-4.0 license for reuse

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment
• The dataset is small at 443.0 KB, suggesting limited raw data or focused analysis outputs
• Description metadata is limited; actual data quality and structure require manual inspection after download

Provenance

Source

figshare

Collection Method

Analysis of the public GEO transcriptomic dataset GSE94550 within a systems pharmacology framework

Time Range

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Freshness

Last updated 2026-04 20 03:25:02; freshness should be verified

Geography

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