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Updated: Jun 24, 2025
Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury
Published on: April 10, 2013
Analysis of gene expression in microglial apoptotic cell clearance following spinal cord injury based on machine
Lei Yan1, Chu Chen1, Lingling Wang1
1The First People's Hospital of Nantong, The Second Affiliated Hospital of Nantong University, Research Institute for Spine and Spinal Cord Disease of Nantong University, Nantong, Jiangsu 226019, P.R. China.
Abstract:
Spinal cord injury (SCI) is a severe neurological complication following spinal fracture, which has long posed a challenge for clinicians. Microglia play a dual role in the pathophysiological process after SCI, both beneficial and detrimental. The underlying mechanisms of microglial actions following SCI require further exploration. The present study combined three different machine learning algorithms, namely weighted gene co-expression network analysis, random forest analysis and least absolute shrinkage and selection operator analysis, to screen for differentially expressed genes in the GSE96055 microglia dataset after SCI. It then used protein-protein interaction networks and gene set enrichment analysis with single genes to investigate the key genes and signaling pathways involved in microglial function following SCI. The results indicated that microglia not only participate in neuroinflammation but also serve a significant role in the clearance mechanism of apoptotic cells following SCI. Notably, bioinformatics analysis and lipopolysaccharide + UNC569 (a MerTK-specific inhibitor) stimulation of BV2 cell experiments showed that the expression levels of Anxa2, Myo1e and Spp1 in microglia were significantly upregulated following SCI, thus potentially involved in regulating the clearance mechanism of apoptotic cells. The present study suggested that Anxa2, Myo1e and Spp1 may serve as potential targets for the future treatment of SCI and provided a theoretical basis for the development of new methods and drugs for treating SCI.
Insights
This study identifies Anxa2, Myo1e, and Spp1 as key genes in microglia following spinal cord injury (SCI). These genes are crucial for clearing apoptotic cells and represent potential therapeutic targets for SCI treatment.
Area of Science:
- Neuroscience
- Immunology
- Bioinformatics
Background:
- Spinal cord injury (SCI) is a severe complication with challenging clinical outcomes.
- Microglia have a complex, dual role (beneficial and detrimental) in SCI pathophysiology.
- Understanding microglial mechanisms post-SCI is critical for developing effective treatments.
Purpose of the Study:
- To identify key genes and signaling pathways regulating microglial function after SCI.
- To explore the role of microglia in neuroinflammation and apoptotic cell clearance.
- To uncover potential therapeutic targets for SCI treatment.
Main Methods:
- Utilized weighted gene co-expression network analysis, random forest, and least absolute shrinkage and selection operator analysis on the GSE96055 microglia dataset.
- Employed protein-protein interaction networks and gene set enrichment analysis.
- Conducted in vitro experiments using BV2 cells stimulated with lipopolysaccharide and a MerTK inhibitor (UNC569).
Main Results:
- Microglia are involved in both neuroinflammation and the clearance of apoptotic cells post-SCI.
- Bioinformatics and experimental data revealed significant upregulation of Anxa2, Myo1e, and Spp1 in microglia after SCI.
- These identified genes are potentially involved in regulating apoptotic cell clearance mechanisms.
Conclusions:
- Anxa2, Myo1e, and Spp1 are significantly upregulated in microglia following spinal cord injury.
- These genes play a role in the clearance of apoptotic cells, suggesting their involvement in SCI recovery.
- Anxa2, Myo1e, and Spp1 represent promising therapeutic targets for future SCI treatments, providing a basis for novel drug development.
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