Processed single-cell RNA-seq data and analysis code for characterizing microglial PTM enzyme modules in cerebral ischemia-reperfusion injury

Summary: This dataset contains the processed single-cell RNA-seq data and analysis pipeline used to generate the findings in the associated manuscript. The study identifies three PTM enzyme co-expression modules (M1/M2/M3) in microglia after cerebral ischemia-reperfusion injury and characterizes the functional coupling between the M2 module, histone lactylation, and ferroptosis/PANoptosis gene programs.Contents:seu_mg_scored.rds: Processed Seurat object containing 10,275 high-confidence microglia with all calculated module scores (M2, LRG, FRG, PRG). This is the primary object used for all single-cell analyses in the study.Validation_datasets/: A directory containing processed expression matrices and Seurat objects for the independent validation datasets (GSE131193, GSE240368, GSE272754, GSE283233).Code/: R scripts used to perform all analyses, generate figures, and calculate statistics. The README.md file within describes the required R environment and dependencies.Figures/: High-resolution PDF versions of all main and supplementary figures presented in the manuscript.Data Generation and Processing: The primary scRNA-seq dataset (GSE174574) was downloaded from GEO. Microglia were computationally purified, normalized using SCTransform, and clustered using Seurat v5.0.3. Functional module scores (M2, LRG, FRG, PRG) were calculated for each microglial cell using a manual scoring approach based on curated gene sets. External validation datasets were processed using analogous methods for bulk RNA-seq data and Seurat workflows for scRNA-seq data. All data processing was performed in R v4.3.3.