Circulating microRNA Signatures and Erythroid Phenotypes in Pediatric Tic Disorders

Ru Jia's dataset on figshare contains molecular and clinical data from a study of pediatric tic disorders. It includes serum levels of five candidate microRNAs, erythroid parameters, and iron metabolism indicators from 30 children with tic disorders and 10 healthy controls. The data was last updated on 2026-05-04.

Use Cases

• Build diagnostic models based on integrated microRNA and hematological features like MCV and transferrin.
• Perform pathway enrichment analysis based on the convergent biological pathways identified in the study.
• Investigate associations between microRNA expression (e.g., hsa-miR-125b-5p, hsa-miR-23a-3p) and clinical phenotypes.
• Explore network-based target analyses linking microRNA regulatory networks to iron-related processes.

Strengths

• Includes data from a case-control study with 30 patients and 10 healthy controls.
• Integrates multiple data types: microRNA expression, erythroid parameters, and iron metabolism indicators.
• The integrated diagnostic model combining hsa-miR-125b-5p, MCV, and TrF showed an AUC of 0.977.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The dataset is small in size (126.8 KB), indicating limited scope and sample size.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data may reflect bias inherent to the specific cohort and study design described.

Provenance

Source

Ru Jia via figshare.

Collection Method

Data was collected from a clinical study where serum levels of five candidate miRNAs were quantified using RT-qPCR, and erythroid/iron parameters were assessed.

Freshness

Last updated 2026-05-04 05:33:10.