Supplementary Dataset for: Integrative multi-omics analysis identifies VCAN and ESM1 as candidate cell-type-associated biomarkers of NET-related glomerular injury in diabetic kidney disease

This dataset contains the supplementary figures and tables supporting the manuscript titled "Integrative multi-omics analysis identifies VCAN and ESM1 as candidate cell-type-associated biomarkers of NET-related glomerular injury in diabetic kidney disease". The study integrates bulk glomerular transcriptomics, single-cell RNA sequencing (scRNA-seq), and experimental validation (in vitro high-glucose co-culture and in vivo db/db mice) to investigate the role of Neutrophil Extracellular Traps (NETs) in diabetic kidney disease (DKD) and identify candidate biomarkers (VCAN and ESM1).The dataset consists of the following files:1.

Supplementary Figures (S1-S3): Covering batch effect correction, single-cell quality control, UMAP projections, violin plots, robustness/sensitivity analyses of NET-related gene sets, transcriptomic profiles of cell subclusters, and validation of candidate markers.2. Supplementary Table S1: List of differentially expressed genes (DEGs) identified between DKD and control samples.3. Supplementary Table S2: Gene Ontology (GO) enrichment analysis results of the DEGs.4.