MAPRE2: Multi-Omics Data on HCC Immune Dysregulation and Malignant Phenotypes

A multi-omics analysis integrating Mendelian randomization, tumor transcriptomics, immune deconvolution, DNA methylation, and single-cell RNA sequencing to characterize MAPRE2 in hepatocellular carcinoma. The dataset, authored by Xiuqin An and last updated on 2026-05-14, likely contains results linking MAPRE2 expression to survival, immune signatures, and cellular phenotypes. It is a small dataset at 101.5 KB, suggesting a focused analysis rather than a large-scale repository.

Use Cases

• Prioritizing candidate biomarkers for HCC based on multi-omics Mendelian randomization results described in the study.
• Analyzing associations between gene expression and macrophage-enriched immune signatures mentioned in the description.
• Investigating links between DNA methylation, gene expression, and patient outcome as referenced in the results.
• Validating in silico knockdown effects on proliferation and invasion pathways implicated by the virtual knockout analysis.

Strengths

• Integrates multiple analytical layers including Mendelian randomization, transcriptomics, and single-cell sequencing as described.
• Results are linked to concrete biological assays like proliferation and invasion knockdown tests in HepG2 and MHCC97 cells.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The dataset's 101.5 KB size indicates it is a summary or result table, not raw genomic data.
• Description metadata is limited; actual data quality and completeness require verification.

Provenance

Source

figshare, author Xiuqin An.

Collection Method

Integrated analysis using two-sample Mendelian randomization, tumor transcriptomics, immune deconvolution, DNA methylation, single-cell RNA sequencing, and loss-of-function assays.

Freshness

Last updated 2026-05-14 04:25:08.