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Data · dataset · 2026

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

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Summary: This dataset contains the processed single-cell RNA-seq data and analysis pipeline used to generate the findings in the associated manuscript.

Description

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.

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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.

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Provenance · 1 source records, 13 field assertions
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ScienceDB10.57760/sciencedb.3494210 d agoJSON v1
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