题名 | Single-cell RNA Sequencing Identifies Natural Kill Cell-Related Transcription Factors Associated With Age-Related Macular Degeneration |
作者 | |
发表日期 | 2024 |
发表期刊 | Evolutionary Bioinformatics 影响因子和分区 |
语种 | 英语 |
原始文献类型 | Article |
关键词 | Age-related macular degeneration NK cell transcription factors machine learning single-cell RNA sequencing |
其他关键词 | INFLAMMATION ; MECHANISMS |
摘要 | Background: Age-related Macular Degeneration (AMD) poses a growing global health concern as the leading cause of central vision loss in elderly people.Objection: This study focuses on unraveling the intricate involvement of Natural Killer (NK) cells in AMD, shedding light on their immune responses and cytokine regulatory roles.Methods: Transcriptomic data from the Gene Expression Omnibus database were utilized, employing single-cell RNA-seq analysis. High-dimensional weighted gene co-expression network analysis (hdWGCNA) and single-cell regulatory network inference and clustering (SCENIC) analysis were applied to reveal the regulatory mechanisms of NK cells in early-stage AMD patients. Machine learning models, such as random forests and decision trees, were employed to screen hub genes and key transcription factors (TFs) associated with AMD.Results: Distinct cell clusters were identified in the present study, especially the T/NK cluster, with a notable increase in NK cell abundance observed in AMD. Cell-cell communication analyses revealed altered interactions, particularly in NK cells, indicating their potential role in AMD pathogenesis. HdWGCNA highlighted the turquoise module, enriched in inflammation-related pathways, as significantly associated with AMD in NK cells. The SCENIC analysis identified key TFs in NK cell regulatory networks. The integration of hub genes and TFs identified CREM, FOXP1, IRF1, NFKB2, and USF2 as potential predictors for AMD through machine learning.Conclusion: This comprehensive approach enhances our understanding of NK cell dynamics, signaling alterations, and potential predictive models for AMD. The identified TFs provide new avenues for molecular interventions and highlight the intricate relationship between NK cells and AMD pathogenesis. Overall, this study contributes valuable insights for advancing our understanding and management of AMD. |
出版者 | SAGE PUBLICATIONS LTD |
ISSN | 1176-9343 |
卷号 | 20 |
DOI | 10.1177/11769343241272413 |
页数 | 11 |
WOS类目 | Evolutionary Biology ; Mathematical & Computational Biology |
WOS研究方向 | Evolutionary Biology ; Mathematical & Computational Biology |
WOS记录号 | WOS:001290795900001 |
收录类别 | SCIE ; PUBMED ; SCOPUS |
URL | 查看原文 |
PubMed ID | 39149137 |
SCOPUSEID | 2-s2.0-85201226274 |
通讯作者地址 | [Zheng, Haihua]Wenzhou Med Univ, Affiliated Hosp 2, Dept Ophthalmol, 109 Xueyuan West Rd, Wenzhou 325027, Zhejiang, Peoples R China. |
Scopus学科分类 | Ecology, Evolution, Behavior and Systematics;Genetics;Computer Science Applications |
SCOPUS_ID | SCOPUS_ID:85201226274 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/217500 |
专题 | 附属第二医院 附属第一医院 附属第一医院_病理科 第二临床医学院、附属第二医院、育英儿童医院 附属第二医院_眼科 |
通讯作者 | Zheng, Haihua |
作者单位 | 1.Wenzhou Med Univ, Affiliated Hosp 2, Dept Ophthalmol, 109 Xueyuan West Rd, Wenzhou 325027, Zhejiang, Peoples R China; 2.Wenzhou Med Univ, Affiliated Hosp 1, Dept Pathol, Wenzhou, Zhejiang, Peoples R China |
第一作者单位 | 附属第二医院; 第二临床医学院,附属第二医院、育英儿童医院; 眼科 |
通讯作者单位 | 附属第二医院; 第二临床医学院,附属第二医院、育英儿童医院; 眼科 |
第一作者的第一单位 | 附属第二医院 |
推荐引用方式 GB/T 7714 | Luo, Yili,Liu, Jianpeng,Feng, Wangqiang,et al. Single-cell RNA Sequencing Identifies Natural Kill Cell-Related Transcription Factors Associated With Age-Related Macular Degeneration[J]. Evolutionary Bioinformatics,2024,20. |
APA | Luo, Yili, Liu, Jianpeng, Feng, Wangqiang, Lin, Da, Chen, Mengji, & Zheng, Haihua. (2024). Single-cell RNA Sequencing Identifies Natural Kill Cell-Related Transcription Factors Associated With Age-Related Macular Degeneration. Evolutionary Bioinformatics, 20. |
MLA | Luo, Yili,et al."Single-cell RNA Sequencing Identifies Natural Kill Cell-Related Transcription Factors Associated With Age-Related Macular Degeneration".Evolutionary Bioinformatics 20(2024). |
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