科研成果详情

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
ISSN1176-9343
卷号20
DOI10.1177/11769343241272413
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 ID39149137
SCOPUSEID2-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_IDSCOPUS_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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