Data Sheet 2_Integrated transcriptomics identifies ER stress–associated apoptosis in post-

Figshare hosts a 54.5 KB Excel file containing integrated transcriptomics data from a study on Dl-3-n-butylphthalide (NBP) in a porcine model of traumatic cardiac arrest (TCA)-induced acute kidney injury (AKI). The dataset, uploaded by Kechun Zhou on June 4, 2026, integrates bulk transcriptomic/microarray and single-cell RNA sequencing data to investigate an ER stress/UPR-associated apoptosis module in proximal tubule cells. In vivo validation data includes serum creatinine, blood urea nitrogen, and protein expression levels from Bama minipigs.

Use Cases

• Identify ER stress/UPR-associated gene expression patterns based on integrated bulk and single-cell transcriptomics data mentioned in the description
• Analyze proximal tubule cell state progression and apoptosis markers based on pseudotime and PT-state stratification analyses
• Validate drug response by correlating transcriptomic signatures with in vivo kidney function markers like serum creatinine and BUN
• Investigate the PERK–ATF4–CHOP stress-apoptosis module in injury-associated proximal tubule states

Strengths

• Dataset integrates multiple transcriptomic data types (bulk microarray and scRNA-seq) for a multi-faceted analysis
• Includes in vivo validation data from a porcine model with specific measurements (e.g., serum creatinine at 1, 2, 4, and 24 hours)
• Study design includes Sham, TCA, and TCA+NBP treatment groups for comparative analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 54.5 KB file size suggests a limited scope, likely containing summary or processed results rather than raw sequencing data

Provenance

Source

Figshare, author Kechun Zhou

Collection Method

Integrated analysis of ischemia–reperfusion injury-related transcriptomic datasets and in vivo experiments on Bama minipigs.

Freshness

Last updated 2026-06-04 05:33:51