التفاصيل البيبلوغرافية
العنوان: |
单细胞转录组测序技术在帕金森病中的应用. (Chinese) |
Alternate Title: |
Application of single-cell RNA sequencing technology in Parkinson’s disease. (English) |
المؤلفون: |
刘子瑜, 耿丹丹, 张润姣, 刘 清, 李一博, 王宏方, 谢文梦, 王文钰, 郝佳欣, 王 磊 |
المصدر: |
Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu; 1/8/2025, Vol. 29 Issue 1, p193-201, 9p |
Abstract (English): |
BACKGROUND: Parkinson’s disease has the main pathological changes in the midbrain, especially in the dense substantia nigra, leading to impaired motor and non-motor function in patients. At present, research is limited by cellular heterogeneity, and its pathogenesis still needs to be further elucidated. In recent years, single-cell RNA sequencing (scRNA-seq) has gradually been applied in neurodegenerative diseases, which is of great significance for understanding intercellular heterogeneity, disease development mechanisms, and treatment strategies. OBJECTIVE: To review the research progress of scRNA-seq technology applied to Parkinson’s disease in recent years, providing a theoretical basis for the application of scRNA-seq in the treatment and diagnosis of Parkinson’s disease. METHODS: The first author used a computer system to search for relevant literature in the CNKI, WanFang, PubMed, and Web of Science databases, with the Chinese search terms “single-cell RNA sequencing, Parkinson’s disease, cell heterogeneity, cell subtypes, dopaminergic neurons, glial cells” and English search terms “single-cell RNA seq, Parkinson disease, heterogenicity, subtypes, dopaminergic neurons, glial cells.” 71 articles were ultimately included for review and analysis. RESULTS AND CONCLUSION: (1) scRNA-seq is a high-throughput experimental technique that utilizes RNA sequencing at the single-cell level to quantify gene expression profiles in specific cell populations, revealing cellular mysteries at the molecular level. Compared with traditional sequencing techniques, scRNA-seq technology is used to reveal the diversity of cell types and changes in specific gene expression in complex tissues under various physiological and pathological conditions through automatic clustering analysis of cell transcriptome. (2) By using scRNA-seq, the development process of dopaminergic neurons and the unique functional characteristics of various cell subtypes are elucidated, in order to better understand potential therapeutic molecular targets. (3) The use of scRNA-seq analysis has improved our understanding of the response of Parkinson’s disease glial cells, enabling us to comprehensively map and characterize different cell type populations, identify specific glial cell subpopulations related to neurodegeneration, and draw valuable single cell maps as reference data for future research. (4) The application of scRNA-seq to detect embryonic mice and stem cells will help improve the in vitro differentiation protocol and quality control of cell therapy, as well as evaluate the overall cell quality and developmental stage of dopaminergic neurons derived from stem cells. [ABSTRACT FROM AUTHOR] |
Abstract (Chinese): |
背景: 帕金森病以中脑特别是黑质致密部为主要病理改变, 导致患者运动和非运动功能受损. 目前研究受制于细胞异质性, 其发病机制仍 需要更深入的阐明. 近些年, 单细胞转录组测序(single-cell RNA sequencing, scRNA-seq)逐渐应用于神经退行性疾病中, 对于理解细胞间异 质性、疾病发展机制和治疗策略有重要意义. 目的: 综述近些年scRNA-seq技术应用于帕金森病的研究进展, 为scRNA-seq在帕金森病诊断和治疗中应用提供理论基础. 方法: 由第-作者应用计算机系统检索中国知网、万方医学网数据库、PubMed、Web of Science数据库的相关文献, 中文检索词为“单细 胞RNA测序, 帕金森病, 细胞异质性, 细胞亚型, 多巴胺能神经元, 胶质细胞”; 英文检索词为“single-cell RNA-seq, Parkinson Disease, heterogeneity, subtypes, dopaminergic neurons, glial cells”, 最终纳入71篇文献进行综述分析. 结果与结论: ①scRNA-seq是-种在单细胞水平上利用RNA测序对特定细胞群体进行基因表达谱定量的高通量实验技术, 从分子水平揭示 细胞奥秘. 与传统的测序技术相比, scRNA-seq技术通过对细胞转录组进行自动聚类分析, 从而揭示各种生理和病理情况下复杂组织中细 胞类型多样性和特异性基因表达的变化. ②通过scRNA-seq阐明多巴胺能神经元发育过程以及各种细胞亚型的独特功能特性, 从而更好地 了解具有潜在治疗作用的分子靶点. ③利用scRNA-seq分析, 提高了研究者对帕金森病胶质细胞反应的了解, 从而全面表征了不同的细胞 类型群体, 并鉴定出与神经变性相关的胶质细胞亚群, 绘制了有价值的单细胞图谱, 作为未来研究的参考数据. ④应用scRNA-seq检测胚 胎小鼠以及干细胞, 将有助于改善细胞治疗的体外分化方案和质量控制, 以及评估干细胞衍生的中脑多巴胺能神经元的整体细胞质量和发 育阶段. [ABSTRACT FROM AUTHOR] |
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قاعدة البيانات: |
Complementary Index |