Identification of Hub Genes in the Immune-Active Phase of Chronic Hepatitis B

Four hub genes were identified as characteristic of the immune-active phase of chronic hepatitis B using integrated bioinformatics and machine learning. The dataset, authored by Fangfang Li and last updated in May 2026, likely contains results from differential expression analysis and weighted gene co-expression network analysis (WGCNA) on transcriptomic data. It includes validation from single-cell RNA sequencing and western blot analysis of clinical samples.

Use Cases

• Identifying biomarkers for the immune-active phase of chronic Hepatitis B based on differential gene expression analysis.
• Training machine learning models to classify disease phases based on gene expression signatures mentioned in the description.
• Analyzing gene co-expression networks associated with immune activity using WGCNA results.
• Validating candidate hub gene expression in clinical samples via single-cell RNA sequencing data.
• Conducting in silico drug screening for compounds targeting identified hub genes like SLC24A4.

Strengths

• Includes validation from two independent single-cell RNA sequencing datasets (GSE182159 and GSE283471).
• Results are supported by western blot analysis of clinical samples.
• Uses multiple analytical methods: differential expression, WGCNA, and machine learning integration.
• Released under a CC-BY-4.0 license, permitting reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 5.7 MB DOCX document, which may require extraction of structured data.

Provenance

Source

figshare

Collection Method

Integrated bioinformatics and machine learning analysis of transcriptomic dataset GSE230397, with validation from scRNA-seq and clinical samples.

Time Range

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Freshness

Last updated 2026-05-04 05:31:10; freshness should be verified.

Geography

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