Primer Sequences for Mitochondrial Dynamics Biomarker Study in Pulmonary Fibrosis

Primer sequences supporting a multi-omics study of idiopathic pulmonary fibrosis (IPF) biomarkers. The dataset is a 5.5 KB XLS file uploaded by Yongbin Wang to figshare in April 2026. The underlying research integrated bulk and single-cell transcriptomics with machine learning to identify candidate genes CD247, IL7R, and RETN.

Use Cases

• Designing PCR validation experiments based on the provided primer sequences.
• Replicating the biomarker identification workflow described in the associated multi-omics study.
• Investigating the roles of CD247, IL7R, and RETN in mitochondrial dynamics and pulmonary fibrosis.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a focused and likely manageable dataset.
• Associated research description details a comprehensive methodology integrating transcriptomics and machine learning.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Yongbin Wang via figshare

Collection Method

Likely derived from a multi-omics study integrating GEO data, scRNA-seq, and literature.

Time Range

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Freshness

Last updated 2026-04-23 17:24:36; freshness should be verified.

Geography

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