Six-Gene Diagnostic Signature for Sarcopenia from Integrated Transcriptomic Analysis

Yaoqi Wu published a dataset on 2026-03-18 containing a six-gene diagnostic signature for sarcopenia identified through bioinformatics analysis. The 29.6 KB file likely contains results from the integration of four transcriptomic datasets, machine learning model evaluation, and Mendelian randomization analysis. The signature includes genes FOXO1, ZBTB16, HOXB2, LYVE1, MGP, and CYP26B1, with CYP26B1 identified as a causal factor.

Use Cases

• Validating the six-gene diagnostic signature (FOXO1, ZBTB16, HOXB2, LYVE1, MGP, CYP26B1) for sarcopenia risk prediction.
• Investigating the causal role of CYP26B1 gene expression in sarcopenia etiology using Mendelian randomization results.
• Analyzing correlations between sarcopenia-related genes and immune cell infiltration profiles from CIBERSORT analysis.
• Benchmarking machine learning algorithms for diagnostic biomarker discovery based on the described 113-algorithm evaluation.

Strengths

• Diagnostic model reported high predictive accuracy with an AUC greater than 0.80.
• Analysis integrates results from four transcriptomic datasets and 318 differentially expressed genes.
• Findings are supported by in vitro validation using C2C12 cells and qPCR experiments.

Limitations

• Row count and specific column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small at 29.6 KB, indicating limited scope, likely containing summary results rather than raw data.
• Data may reflect bias inherent to the specific transcriptomic datasets and analysis pipelines used in the source study.

Provenance

Source

Yaoqi Wu via figshare

Collection Method

Integrated analysis of four transcriptomic datasets using WGCNA, differential expression analysis, machine learning, and Mendelian randomization.

Freshness

Last updated 2026-03-18 07:37:12; freshness should be verified.