Hub Genes in Chronic Hepatitis B Immune-Active Phase from Transcriptomic Analysis

A bioinformatics study identifying hub genes specific to the immune-active phase of chronic hepatitis B. The dataset includes results from differential expression analysis, weighted gene co-expression network analysis, and machine learning integration applied to transcriptomic data from peripheral monocytes. Author Fangfang Li published the work on figshare in May 2026 under a CC-BY-4.0 license.

Use Cases

• Validate candidate hub genes for chronic hepatitis B based on the four identified genes (CCR5, IL10RA, KCNA3, SLC24A4).
• Investigate host-virus interactions during the immune-active phase based on the described multi-omics integration.
• Explore correlations between gene expression and immune cell infiltration based on the analysis linking SLC24A4 to M1/M2 macrophage proportions.
• Screen for FDA-approved drug candidates based on the virtual screening methodology targeting SLC24A4.

Strengths

• Results are validated across multiple datasets, including two independent single-cell RNA sequencing datasets (GSE182159 and GSE283471).
• Analysis integrates multiple methods: differential expression, WGCNA, machine learning, and clinical sample validation.
• The dataset is small (17.1 KB) and in a common XLSX format, facilitating quick inspection.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small (17.1 KB), indicating it likely contains summary results rather than raw expression data.
• Description metadata is limited; actual data quality and completeness require manual inspection after download.

Provenance

Source

figshare, author Fangfang Li.

Collection Method

Integrated bioinformatics and machine learning analysis of transcriptomic dataset GSE230397, with validation using scRNA-seq and western blot.

Time Range

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Freshness

Last updated 2026-05-04 05:31:06; freshness should be verified.

Geography

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