YWHAZ RNA-Seq and iRIP-Seq Data from Diabetic Foot Ulcer Study

A 22.0 KB Excel file contains gene expression and RNA-binding data from a study on diabetic foot ulcers. The dataset includes results from RNA-seq and improved RNA immunoprecipitation (iRIP)-seq analyses of HaCaT cells with YWHAZ knockdown. Author Tianjian Zha published the data on figshare under a CC-BY-4.0 license in May 2026.

Use Cases

• Identify differentially expressed genes based on RNA-seq results from YWHAZ-knockdown cells.
• Analyze RNA-protein binding motifs based on iRIP-seq results indicating YWHAZ binds to GC-rich sequences.
• Investigate pathways like insulin resistance and insulin signaling based on KEGG analysis of bound genes like SREBF1.
• Study the role of specific genes (e.g., AREG, FOSL1, LAMB3) in cell proliferation and adhesion processes in diabetic wounds.

Strengths

• Dataset is validated by RT-qPCR and immunohistochemistry experiments mentioned in the description.
• Integrated analysis combines RNA-seq (1,072 DEGs) and iRIP-seq (57 selectively bound DEGs) results.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The 22.0 KB file size suggests a limited scope, likely containing summary results rather than raw sequencing data.
• Data may reflect bias inherent to the specific experimental model (HaCaT cells) and source platform.

Provenance

Source

figshare

Collection Method

Generated from laboratory experiments including RNA-seq, iRIP-seq, RT-qPCR, and immunohistochemistry on DFU tissues and HaCaT cells.

Freshness

Last updated 2026-05-07 04:47:34.