Data Sheet 1_Integrative transcriptomic analysis reveals miR-26a-5p downregulation and a p

Integrative bioinformatics analysis identifies miR-26a-5p downregulation as a hallmark of diet-induced metabolic liver disease in mice. The research, authored by Andrei Sorop and shared on figshare in April 2026, constructs a transcriptional signature from miR-26a-5p downstream candidates to stratify patient risk for progression to hepatocellular carcinoma. The 180.1 KB PDF file contains the full research paper detailing the methods and findings.

Use Cases

• Investigating the role of miR-26a-5p as a tumor suppressor in liver disease based on in vivo and in vitro experimental results
• Developing prognostic models for hepatocellular carcinoma risk using the described EpCAM, DTNA, and KPNA2 gene signature
• Analyzing associations between microRNA expression and antitumor immunity in HCC tissues as referenced in the in silico analysis

Strengths

• Research integrates transcriptomic, clinical, and experimental data from public datasets and original mouse studies
• Dataset is openly shared under a CC-BY-4.0 license, permitting reuse with attribution
• Analysis identifies a specific three-gene signature (EpCAM, DTNA, KPNA2) with potential predictive value

Limitations

• The primary file is a 180.1 KB PDF research paper; underlying raw transcriptomic data tables are not directly provided
• Row count and column-level documentation for any associated data are unknown
• Description metadata is limited; actual data quality and structure require manual inspection after download

Provenance

Source

figshare

Collection Method

Integrative analysis of public transcriptomic datasets and original experimental data from mouse models

Time Range

Publication date suggests research conducted prior to 2026

Freshness

Last updated 2026-04-20 05:23:30; freshness should be verified

Geography

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