1. 单细胞转录组测序技术在帕金森病中的应用.
- Author
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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, and 王 磊
- Abstract
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] more...
- Published
- 2025
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