[基于单细胞测序技术的脊髓损伤后星形胶质细胞异质性研究进展]。

Q4 Medicine
Lei Du, Yan-Jun Zhang, Tie-Feng Guo, Lin-Zhao Luo, Ping-Yi Ma, Jia-Ming Li, Sheng Tan
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引用次数: 0

摘要

近年来,单细胞转录组测序技术在脊髓损伤(SCI)后星形胶质细胞(astrocytes)异质性中的研究为创伤后神经再生和修复提供了新的视角。综述脊髓损伤后星形胶质细胞单细胞测序技术的研究进展,更全面、更深入地阐述单细胞测序技术在脊髓损伤后星形胶质细胞领域的应用。单细胞测序技术可以高通量分析单个细胞的转录组,从而揭示细胞类型和状态的细微差异。利用单细胞测序技术,揭示了脊髓损伤后星形胶质细胞的异质性及其与神经再生和修复的关系。综上所述,单细胞测序技术的应用为揭示SCI后星形胶质细胞的异质性,进一步探索星形胶质细胞在SCI中的作用机制,针对其调控机制制定干预策略,以提高SCI的治疗效果提供了重要工具。星形胶质细胞转录组动力学变化的发现提高了研究人员对脊髓损伤病变进展的认识,并为不同时间点脊髓损伤的治疗提供了新的见解。迄今为止,所有这些发现都需要通过更多的基础研究和充分的临床试验来验证。在未来,单细胞测序技术通过与生物信息学、计算机科学、组织工程和临床医学的跨学科合作,有望为脊髓损伤的治疗打开一扇新的窗口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Progress in investigating astrocyte heterogeneity after spinal cord injury based on single-cell sequencing technology].

In recent years, the study of single-cell transcriptome sequencing technology in the heterogeneity of astrocytes (astrocytes) after spinal cord injury (SCI) has provided new perspectives on post-traumatic nerve regeneration and repair. To provide a review on the research progress of single-cell sequencing technology in astrocytes after spinal cord injury (SCI), and to more comprehensively and deeply elaborate the application of single-cell sequencing technology in the field of astrocytes after SCI. Single-cell sequencing technology can analyse the transcriptomes of individual cells in a high-throughput manner, thus revealing fine differences in cell types and states. By using single-cell sequencing technology, the heterogeneity of astrocytes after SCI and their association with nerve regeneration and repair were revealed. In conclusion, the application of single-cell sequencing technology provides an important tool to reveal the heterogeneity of astrocytes after SCI, to further explore the mechanisms of astrocytes in SCI, and to develop intervention strategies targeting their regulatory mechanisms in order to improve the therapeutic efficacy of SCI. The discovery of changes in astrocyte transcriptome dynamics has improved researchers' understanding of spinal cord injury lesion progression and provided new insights into the treatment of spinal cord injury at different time points. To date, all of these findings need to be validated by more basic research and sufficient clinical trials. In the future, single-cell sequencing technology, through interdisciplinary collaboration with bioinformatics, computer science, tissue engineering, and clinical medicine, is expected to open a new window for the treatment of spinal cord injury.

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