Raw qPCR Data and R Code for Intervertebral Disc Degeneration Biomarker Study

A 756.2 MB dataset from a 2026 study contains raw qPCR Ct values for genes GCLM and GAPDH, calculated relative expression results, and complete R code for bioinformatics analysis. The data and scripts were generated by Zhonghua Zhang for research on metabolic reprogramming and immune microenvironment regulation in intervertebral disc degeneration. All resources are open access under a CC-BY-4.0 license for academic reuse.

Use Cases

• Replicate bioinformatics analyses for immune infiltration based on the provided R code.
• Validate biomarker screening results for intervertebral disc degeneration using the raw qPCR data.
• Perform secondary analysis on metabolic reprogramming using the calculated relative gene expression results.
• Use the R scripts as a template for multi-omics data mining in other musculoskeletal research.

Strengths

• Includes raw experimental data (Ct values) and derived analytical results (relative expression).
• Provides the complete R language code used for the published analysis, enabling full reproducibility.
• Dataset size is 756.2 MB, indicating it contains substantial raw data and scripts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the qPCR data is unknown, which may limit suitability assessment.
• The description does not specify the number of samples or experimental groups included.

Provenance

Source

Zhonghua Zhang via figshare.

Collection Method

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

Freshness

Last updated 2026-05-19 10:43:41.