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Biophysics 2023
单细胞数据库建设的研究进展
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Abstract:
近年来，随着以单细胞转录组测序(Single-cell RNA sequencing, scRNA-seq)技术为重点的大规模生物学实验的兴起，研究人员可以在细胞水平上展开更加深入的研究。基于scRNA-seq技术的优势，尤其是其对研究细胞异质性的能力，越来越多的单细胞数据库涌现出来，为疾病的发生和治疗提供了研究基础，特别是对于复杂的癌症和当前难以完全解决的COVID-19问题。随着scRNA-seq技术的不断发展，单细胞数据库也在不断完善和扩大，涵盖越来越多的物种数据信息，同时提供多种分析功能，为单细胞研究提供了便利。本文回顾了目前广泛使用的单细胞数据库，并对其数据量和数据类型等做了概括总结。此外，我们还调查了研究人员在数据分析方面的使用情况，并得出了单细胞数据库建设的最新进展。最后，本文还针对目前单细胞数据库存在的局限性提出了一些改进建议。
In recent years, with the rise of large-scale biological experiments that focus on single-cell RNA se-quencing (scRNA-seq) technology, researchers can conduct more in-depth studies at the cellular level. Based on the advantages of scRNA-seq technology, particularly its ability to study cell hetero-geneity, an increasing number of single-cell databases have emerged, providing a research founda-tion for the occurrence and treatment of diseases, especially for complex cancers and the currently unsolved COVID-19 problem. As scRNA-seq technology continues to develop, single-cell databases are also constantly improving and expanding, covering more and more species data information, while providing multiple analysis functions, facilitating single-cell research. This article reviews currently widely used single-cell databases and summarizes their data volume and data types. In addition, we investigated the usage of researchers in data analysis and obtained the latest progress in the construction of single-cell databases. Finally, this article proposes some improvement sug-gestions for the limitations of current single-cell databases.
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