Raw qPCR Data and Bioinformatics Code for Intervertebral Disc Degeneration Research

All original experimental data and analytical scripts from a study on metabolic reprogramming and immune microenvironment regulation in intervertebral disc degeneration. The dataset includes raw Ct values for GCLM and GAPDH genes, calculated relative gene expression results, and complete R code for multi-omics data mining. It was authored by Zhonghua Zhang and corresponds to a manuscript on biomarker identification using machine learning and single-cell transcriptomics.

Use Cases

• Replicate relative gene expression calculations based on raw qPCR Ct values for GCLM and GAPDH.
• Conduct immune infiltration analysis based on the provided bioinformatics R code.
• Screen for biomarkers associated with disc degeneration based on the described multi-omics data mining workflow.
• Validate or extend machine learning models for IVDD using the provided gene expression data.

Strengths

• Includes raw Ct values and calculated relative expression results, providing both primary and processed data.
• Contains 756.2 MB of data and complete R analysis code, enabling methodological reproducibility.
• Released under a CC-BY-4.0 license, allowing for open reuse in academic research.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical needs.

Provenance

Source

Zhonghua Zhang

Collection Method

Original experimental data and analytical scripts generated for a specific research study.

Freshness

Last updated 2026-05-25 04:27:54; freshness should be verified.