Extracellular Vesicle microRNA Signature for Human Brucellosis Diagnosis

A research dataset from figshare, authored by Junwei Wu and last updated in May 2026, presents a diagnostic biomarker for brucellosis. It contains data on microRNA expression levels in serum-derived extracellular vesicles from patients and healthy individuals. The dataset was generated using small RNA sequencing and validated with qRT-PCR and logistic regression models.

Use Cases

• Training diagnostic classifiers based on the identified miRNA signature (miR-20a-5p and miR-93-5p).
• Validating the diagnostic performance of single miRNAs, such as miR-361-5p, against brucellosis.
• Comparing miRNA expression profiles between serum-derived EVs, EVs-free serum, and whole serum.
• Investigating the biological pathways associated with the 52 overexpressed miRNAs linked to Brucella infection.

Strengths

• Identifies a specific two-miRNA signature with a reported AUC of up to 1.000 in an exploratory set.
• Validates findings across multiple sample types (serum-derived EVs, EVs-free serum, and serum).
• Includes data on 52 overexpressed miRNAs initially identified through sequencing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (1.4 MB), which may indicate limited sample size or feature breadth.

Provenance

Source

figshare

Collection Method

Data generated via small RNA sequencing and validated with qRT-PCR and logistic regression models.

Freshness

Last updated 2026-05-22 06:09:24; freshness should be verified.