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单细胞多组学测序及其在神经系统研究中的应用。

Single-cell multi-omics sequencing and its applications in studying the nervous system.

作者信息

Wang Chaoyang, Fan Xiaoying

机构信息

Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou 510005, China.

The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, China.

出版信息

Biophys Rep. 2022 Jun 30;8(3):136-149. doi: 10.52601/bpr.2021.210031.

Abstract

Single-cell sequencing has become one of the most powerful and popular techniques in dissecting molecular heterogeneity and modeling the cellular architecture of a biological system. During the past twenty years, the throughput of single-cell sequencing has increased from hundreds of cells to over tens of thousands of cells in parallel. Moreover, this technology has been developed from sequencing transcriptome to measure different omics such as DNA methylome, chromatin accessibility, and so on. Currently, multi-omics which can analyze different omics in the same cell is rapidly advancing. This work advances the study of many biosystems, including the nervous system. Here, we review current single-cell multi-omics sequencing techniques and describe how they improve our understanding of the nervous system. Finally, we discuss the open scientific questions in neural research that may be answered through further improvement of single-cell multi-omics sequencing technology.

摘要

单细胞测序已成为剖析分子异质性和构建生物系统细胞结构的最强大且最受欢迎的技术之一。在过去二十年中,单细胞测序的通量已从数百个细胞并行增加到超过数万个细胞。此外,该技术已从对转录组进行测序发展到测量不同的组学,如DNA甲基化组、染色质可及性等。目前,能够在同一细胞中分析不同组学的多组学技术正在迅速发展。这项工作推动了包括神经系统在内的许多生物系统的研究。在这里,我们回顾当前的单细胞多组学测序技术,并描述它们如何增进我们对神经系统的理解。最后,我们讨论神经研究中可能通过进一步改进单细胞多组学测序技术来解答的开放性科学问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95fe/10189649/f43ad5fdb258/br-8-3-136-1.jpg

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