Table 1_HSF1 modulates lipid metabolism and ferroptosis in sarcopenia: a novel diagnostic

A bioinformatics dataset identifying ferroptosis-relevant genes as diagnostic biomarkers for sarcopenia. The data includes results from RNA-seq analyses of public datasets GSE25941 and GSE9103, processed with WGCNA and multiple machine learning algorithms. It was authored by Dalu Cheng and last updated on April 30, 2026.

Use Cases

• Validate diagnostic biomarkers for sarcopenia based on identified hub FRGs like ACSL6, CDKN1A, and HSF1.
• Train machine learning models for disease classification using the feature selection methods described (LASSO, SVM, XGBoost).
• Investigate the role of lipid metabolism and ferroptosis in muscle atrophy based on the described experimental validation in C2C12 myoblasts.
• Perform molecular docking studies to identify potential therapeutic agents like quercetin and cycloheximide targeting HSF1.

Strengths

• Identifies six hub genes with reported diagnostic AUC values greater than 0.8.
• Includes experimental validation results from functional assays in a cell line model.
• Uses multiple machine learning algorithms (LASSO, SVM, KNN, XGBoost, NNET) for robust biomarker screening.
• Published under a permissive CC-BY-4.0 license.

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 very small (17.3 KB), indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Integrated bioinformatics analysis of public RNA-seq datasets (GSE25941, GSE9103) with experimental validation.

Time Range

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Freshness

Last updated 2026-04-30 07:35:05; freshness should be verified.

Geography

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