Case Report: Single-Cell Transcriptomics of Monocyte Reprogramming During HBV-ACLF Therapy

A 23.1 KB case report by Jiale Xie, uploaded to figshare on 2026-05-26, details single-cell RNA sequencing data from a patient with Hepatitis B virus-related acute-on-chronic liver failure. The data captures peripheral blood mononuclear cell transcriptomes before and after artificial liver support system therapy, focusing on dynamic monocyte subpopulation changes. Analysis includes graph-based clustering, pseudotime trajectory inference, and M1/M2 polarization scoring validated with bulk RNA-seq.

Use Cases

• Analyzing monocyte subpopulation dynamics based on single-cell transcriptomic clustering described in the report
• Studying the impact of artificial liver support therapy on inflammatory gene signatures based on the pre- and post-treatment comparison
• Investigating monocyte differentiation trajectories in systemic inflammation using the pseudotime analysis methodology

Strengths

• Data is paired, with samples collected from the same patient before and after a specific medical intervention
• Analysis employs multiple complementary techniques, including single-cell RNA sequencing, bulk RNA sequencing deconvolution, and pseudotime trajectory inference
• The report provides a detailed biological narrative linking a specific monocyte subpopulation (Mono4) to disease progression and treatment response

Limitations

• The dataset is extremely small at 23.1 KB, suggesting it contains summary-level analysis or a document rather than raw sequencing data
• Row count and column-level documentation are unknown, limiting assessment of data structure and granularity
• The data is from a single case study, which limits generalizability and statistical power

Provenance

Source

Jiale Xie

Collection Method

Single-cell and bulk RNA sequencing of peripheral blood mononuclear cells from a patient with type B HBV-ACLF, before and after artificial liver support system therapy.

Freshness

Last updated 2026-05-26 04:41:22; freshness should be verified.