Home    中文  
 
  • Search
  • lucene Search
  • Citation
  • Fig/Tab
  • Adv Search
Just Accepted  |  Current Issue  |  Archive  |  Featured Articles  |  Most Read  |  Most Download  |  Most Cited

Chinese Journal of Cell and Stem Cell(Electronic Edition) ›› 2026, Vol. 16 ›› Issue (04): 227-232. doi: 10.3877/cma.j.issn.2095-1221.2026.04.005

• Original Research • Previous Articles    

Exploring the key genes and cell communication in neural injury repair after intracerebral hemorrhage based on transcriptome sequencing and single-cell RNA sequencing

Haitao Song1,2, Renxing Song1,3,(), Qianyun Zhao1, Wen Nie2, Sen Chen2, Dewen Song2, Feng Pan2, Bo Zhao2   

  1. 1School of Clinical Medicine, Shandong Second Medical University, Weifang 261000, China
    2Department of Neurosurgery, Jiaozhou Hospital, Dongfang Hospital Affiliated to Tongji University, Qingdao 266300, China
    3Department of Neurosurgery, Weifang People's Hospital, Weifang 261000, China
  • Received:2025-08-18 Online:2026-08-01 Published:2026-08-07
  • Contact: Renxing Song

Abstract:

Objective

To explore the key genes, core cell subsets, and cell communication mechanisms underlying neural injury repair after intracerebral hemorrhage.

Methods

The rat intracerebral hemorrhage transcriptome dataset GSE288102, mouse intracerebral hemorrhage microglia transcriptome dataset GSE266602, and mouse intracerebral hemorrhage brain tissue single-cell RNA sequencing dataset GSE167593 were downloaded from the GEO database. The limma package was used to screen differentially expressed genes (DEGs), and the intersection of DEGs from the two transcriptome datasets was obtained to identify common DEGs. GO and KEGG enrichment analyses were performed using the DAVID database, and a protein-protein interaction (PPI) network was constructed via the STRING database. Key genes were screened using Cytoscape. Quality control, dimensionality reduction, clustering, and cell annotation of single-cell data were completed with the Seurat package, and intercellular communication pathways were analyzed using CellChat.

Results

A total of 96 common DEGs were identified. GO terms was mainly enriched in immune cell activation, leukocyte activation, and injury repair-related processes, while KEGG enrichment was found in the ECM-receptor interaction pathway and the PI3K-Akt signaling pathway. Ten hub genes were screened, including LGALS3, ITGB2, TLR2, TIMP1, FN1, CD44, ICAM1, CCL2, TGFB1, and ITGAM. Single-cell RNA analysis identified five core cell populations: neurons, oligodendrocytes, oligodendrocyte precursor cells, microglia, and astrocytes. The hub genes showed specific expression in each cell subset: LGALS3 was downregulated and TGFB1 was upregulated in neurons; TGFB1, CCL2, and ICAM1 were significantly upregulated in astrocytes; and FN1 and TGFB1 were upregulated in microglia. Cell communication analysis revealed that SPP1- (ITGA5+ITGB1) and SPP1- (ITGAV+ITGB1) were the core signaling pathways for neural repair after intracerebral hemorrhage.

Conclusion

This study identified 10 core genes, 5 key cell populations, and 2 core cell communication pathways involved in neural injury repair after intracerebral hemorrhage, providing a reliable basis for investigating the mechanisms of neural repair and screening potential therapeutic targets for intracerebral hemorrhage.

Key words: Transcriptome sequencing, Single-cell RNA sequencing, Neural injury, Intracerebral hemorrhage

京ICP 备07035254号-3
Copyright © Chinese Journal of Cell and Stem Cell(Electronic Edition), All Rights Reserved.
Tel: 0086-591-87982783 E-mail: ccsct@vip.163.com
Powered by Beijing Magtech Co. Ltd