Suppr超能文献

单细胞和空间基因组学的进展与应用

Advances and applications in single-cell and spatial genomics.

作者信息

Wang Jingjing, Ye Fang, Chai Haoxi, Jiang Yujia, Wang Teng, Ran Xia, Xia Qimin, Xu Ziye, Fu Yuting, Zhang Guodong, Wu Hanyu, Guo Guoji, Guo Hongshan, Ruan Yijun, Wang Yongcheng, Xing Dong, Xu Xun, Zhang Zemin

机构信息

Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 310058, China.

Life Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, 310058, China.

出版信息

Sci China Life Sci. 2024 Dec 20. doi: 10.1007/s11427-024-2770-x.

Abstract

The applications of single-cell and spatial technologies in recent times have revolutionized the present understanding of cellular states and the cellular heterogeneity inherent in complex biological systems. These advancements offer unprecedented resolution in the examination of the functional genomics of individual cells and their spatial context within tissues. In this review, we have comprehensively discussed the historical development and recent progress in the field of single-cell and spatial genomics. We have reviewed the breakthroughs in single-cell multi-omics technologies, spatial genomics methods, and the computational strategies employed toward the analyses of single-cell atlas data. Furthermore, we have highlighted the advances made in constructing cellular atlases and their clinical applications, particularly in the context of disease. Finally, we have discussed the emerging trends, challenges, and opportunities in this rapidly evolving field.

摘要

近年来,单细胞和空间技术的应用彻底改变了我们目前对细胞状态以及复杂生物系统中固有细胞异质性的理解。这些进展为检查单个细胞的功能基因组学及其在组织中的空间背景提供了前所未有的分辨率。在这篇综述中,我们全面讨论了单细胞和空间基因组学领域的历史发展和最新进展。我们回顾了单细胞多组学技术、空间基因组学方法以及用于分析单细胞图谱数据的计算策略方面的突破。此外,我们强调了在构建细胞图谱及其临床应用方面取得的进展,特别是在疾病背景下。最后,我们讨论了这个快速发展领域中的新兴趋势、挑战和机遇。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验