Recent Innovations and Technical Advances in High-Throughput Parallel Single-Cell Whole-Genome Sequencing Methods.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2024-07-09 DOI:10.1002/smtd.202400789
Yi Qiao, Tianguang Cheng, Zikun Miao, Yue Cui, Jing Tu
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Abstract

Single-cell whole-genome sequencing (scWGS) detects cell heterogeneity at the aspect of genomic variations, which are inheritable and play an important role in life processes such as aging and cancer progression. The recent explosive development of high-throughput single-cell sequencing methods has enabled high-performance heterogeneity detection through a vast number of novel strategies. Despite the limitation on total cost, technical advances in high-throughput single-cell whole-genome sequencing methods are made for higher genome coverage, parallel throughput, and level of integration. This review highlights the technical advancements in high-throughput scWGS in the aspects of strategies design, data efficiency, parallel handling platforms, and their applications on human genome. The experimental innovations, remaining challenges, and perspectives are summarized and discussed.

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高通量并行单细胞全基因组测序方法的最新创新和技术进展。
单细胞全基因组测序(scWGS)从基因组变异的角度检测细胞的异质性,这种异质性可遗传,并在衰老和癌症进展等生命过程中发挥重要作用。近年来,高通量单细胞测序方法的爆炸式发展通过大量新颖的策略实现了高性能的异质性检测。尽管受到总成本的限制,但高通量单细胞全基因组测序方法在基因组覆盖率、并行通量和整合水平方面都取得了技术进步。本综述重点介绍了高通量 scWGS 在策略设计、数据效率、并行处理平台等方面的技术进步及其在人类基因组上的应用。文中总结并讨论了实验创新、尚存挑战和前景展望。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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