Data · dataset · 2026
Processed single-cell RNA-seq data and analysis code for characterizing microglial PTM enzyme modules in cerebral ischemia-reperfusion injury
Listed in ScienceDB
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.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.34942 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Biochemistry and cell biology 72% · RNA sequencing 65% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.34942 | 10 d ago | JSON v1 |
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|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3101 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
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| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:rna-seq | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |