Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis
BackgroundIschemic stroke (IS) is a leading cause of adult disability worldwide. The inflammatory processes involved are complex, making it challenging to fully understand the pathological mechanisms of IS. Phagocytosis plays an important role in eliminating neurotoxic or damaged neurons resulting f...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1549518/full |
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| author | Yating Lan Chun Zou Feiyu Nong Qi Huang Jingyi Zeng Wenyi Song Guining Liang Qingyan Wei Mika Pan Donghua Zou Yaobin Long |
| author_facet | Yating Lan Chun Zou Feiyu Nong Qi Huang Jingyi Zeng Wenyi Song Guining Liang Qingyan Wei Mika Pan Donghua Zou Yaobin Long |
| author_sort | Yating Lan |
| collection | DOAJ |
| description | BackgroundIschemic stroke (IS) is a leading cause of adult disability worldwide. The inflammatory processes involved are complex, making it challenging to fully understand the pathological mechanisms of IS. Phagocytosis plays an important role in eliminating neurotoxic or damaged neurons resulting from inflammatory responses. This study employed bioinformatics methods to analyze single-cell RNA sequencing (scRNA-seq) data to investigate the cell types and molecular biological processes involved in IS.MethodsscRNA-seq data for IS were obtained from the Gene Expression Omnibus (GEO). Following sample screening and reprocessing, 5,582 single cells were identified from healthy controls and patients with IS. Uniform manifold approximation and projection (UMAP) was utilized to further explore the cellular composition in IS. Functional enrichment analysis of differentially expressed genes was conducted to identify transcriptional regulators, whereas cell developmental trajectories were predicted to uncover potential cell fate decisions. iTALK was employed to identify potential ligand-receptor axes within the cell-type immune microenvironment of IS.ResultsBased on scRNA-seq data analysis, we identified four cell types and their associated subclusters, along with genes exhibiting significant differential expression within these subclusters. Phagocytosis was significantly enriched in cell types linked to IS, while the differentiation trajectories of subpopulations in IS was different. Additionally, multiple receptor-ligand axes were identified, indicating diverse interactions within the immune microenvironment of IS.ConclusionThis study demonstrated that phagocytosis in IS cell types critically influences disease progression. It also predicted the trajectories of infarct cells. These findings provide valuable insights into the molecular and cellular mechanisms underlying IS and highlight potential pathways for therapeutic intervention. |
| format | Article |
| id | doaj-art-d4d5289bb7bc403b8f2b743fe2c26c28 |
| institution | OA Journals |
| issn | 1663-4365 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj-art-d4d5289bb7bc403b8f2b743fe2c26c282025-08-20T02:26:59ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-04-011710.3389/fnagi.2025.15495181549518Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysisYating Lan0Chun Zou1Feiyu Nong2Qi Huang3Jingyi Zeng4Wenyi Song5Guining Liang6Qingyan Wei7Mika Pan8Donghua Zou9Yaobin Long10Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Rehabilitation, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Rehabilitation, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Rehabilitation, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, ChinaBackgroundIschemic stroke (IS) is a leading cause of adult disability worldwide. The inflammatory processes involved are complex, making it challenging to fully understand the pathological mechanisms of IS. Phagocytosis plays an important role in eliminating neurotoxic or damaged neurons resulting from inflammatory responses. This study employed bioinformatics methods to analyze single-cell RNA sequencing (scRNA-seq) data to investigate the cell types and molecular biological processes involved in IS.MethodsscRNA-seq data for IS were obtained from the Gene Expression Omnibus (GEO). Following sample screening and reprocessing, 5,582 single cells were identified from healthy controls and patients with IS. Uniform manifold approximation and projection (UMAP) was utilized to further explore the cellular composition in IS. Functional enrichment analysis of differentially expressed genes was conducted to identify transcriptional regulators, whereas cell developmental trajectories were predicted to uncover potential cell fate decisions. iTALK was employed to identify potential ligand-receptor axes within the cell-type immune microenvironment of IS.ResultsBased on scRNA-seq data analysis, we identified four cell types and their associated subclusters, along with genes exhibiting significant differential expression within these subclusters. Phagocytosis was significantly enriched in cell types linked to IS, while the differentiation trajectories of subpopulations in IS was different. Additionally, multiple receptor-ligand axes were identified, indicating diverse interactions within the immune microenvironment of IS.ConclusionThis study demonstrated that phagocytosis in IS cell types critically influences disease progression. It also predicted the trajectories of infarct cells. These findings provide valuable insights into the molecular and cellular mechanisms underlying IS and highlight potential pathways for therapeutic intervention.https://www.frontiersin.org/articles/10.3389/fnagi.2025.1549518/fullischemic strokeimmune cellssingle cell analysisphagocytosisenrichment analysisdifferential gene expression |
| spellingShingle | Yating Lan Chun Zou Feiyu Nong Qi Huang Jingyi Zeng Wenyi Song Guining Liang Qingyan Wei Mika Pan Donghua Zou Yaobin Long Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis Frontiers in Aging Neuroscience ischemic stroke immune cells single cell analysis phagocytosis enrichment analysis differential gene expression |
| title | Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis |
| title_full | Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis |
| title_fullStr | Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis |
| title_full_unstemmed | Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis |
| title_short | Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis |
| title_sort | decoding immune cell dynamics in ischemic stroke insights from single cell rna sequencing analysis |
| topic | ischemic stroke immune cells single cell analysis phagocytosis enrichment analysis differential gene expression |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1549518/full |
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