YWHAZ RNA-Seq and iRIP-Seq Data for Diabetic Foot Ulcer Research

1,072 differentially expressed genes were identified in HaCaT cells with YWHAZ knockdown via RNA-seq. The dataset, created by Tianjian Zha and last updated in May 2026, integrates these results with iRIP-seq data showing 57 DEGs selectively bound by the RNA-binding protein YWHAZ. It provides molecular interaction data relevant to cell proliferation and apoptosis in diabetic foot ulcers.

Use Cases

• Identify potential YWHAZ target genes based on the 57 DEGs identified through integrated iRIP-seq and RNA-seq analysis.
• Investigate pathways like insulin resistance and insulin signaling using the KEGG-enriched gene SREBF1 mentioned in the results.
• Analyze gene expression changes related to cell proliferation and adhesion from the lists of upregulated (e.g., AREG, FOSL1) and downregulated (e.g., LAMB3, COL12A1) genes.
• Study GC-rich motif binding patterns of RNA-binding proteins using the ABLIFE algorithm results described.

Strengths

• Integrates two experimental datasets: RNA-seq (1,072 DEGs) and iRIP-seq (57 bound DEGs).
• Validates YWHAZ expression via RT-qPCR and immunohistochemistry as stated in the methods.
• Released under a CC-BY-4.0 license for open reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small at 11.1 KB, indicating limited scope.

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 04:47:35