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单细胞DNA测序技术的进步使人们能够深入了解人类体细胞嵌合现象。

Advances in single-cell DNA sequencing enable insights into human somatic mosaicism.

作者信息

Shao Diane D, Kriz Andrea J, Snellings Daniel A, Zhou Zinan, Zhao Yifan, Enyenihi Liz, Walsh Christopher

机构信息

Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.

Division of Genetics and Genomics, Department of Paediatrics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.

出版信息

Nat Rev Genet. 2025 Apr 25. doi: 10.1038/s41576-025-00832-3.

Abstract

DNA sequencing from bulk or clonal human tissues has shown that genetic mosaicism is common and contributes to both cancer and non-cancerous disorders. However, single-cell resolution is required to understand the full genetic heterogeneity that exists within a tissue and the mechanisms that lead to somatic mosaicism. Single-cell DNA-sequencing technologies have traditionally trailed behind those of single-cell transcriptomics and epigenomics, largely because most applications require whole-genome amplification before costly whole-genome sequencing. Now, recent technological and computational advances are enabling the use of single-cell DNA sequencing to tackle previously intractable problems, such as delineating the genetic landscape of tissues with complex clonal patterns, of samples where cellular material is scarce and of non-cycling, postmitotic cells. Single-cell genomes are also revealing the mutational patterns that arise from biological processes or disease states, and have made it possible to track cell lineage in human tissues. These advances in our understanding of tissue biology and our ability to identify disease mechanisms will ultimately transform how disease is diagnosed and monitored.

摘要

对大量或克隆的人体组织进行DNA测序表明,基因镶嵌现象很常见,且与癌症和非癌性疾病都有关。然而,需要单细胞分辨率才能全面了解组织中存在的遗传异质性以及导致体细胞镶嵌现象的机制。传统上,单细胞DNA测序技术落后于单细胞转录组学和表观基因组学技术,这在很大程度上是因为大多数应用在进行昂贵的全基因组测序之前都需要进行全基因组扩增。现在,最近的技术和计算进展使得能够使用单细胞DNA测序来解决以前难以处理的问题,例如描绘具有复杂克隆模式的组织、细胞材料稀缺的样本以及非循环、有丝分裂后细胞的遗传图谱。单细胞基因组也在揭示由生物过程或疾病状态产生的突变模式,并使得追踪人体组织中的细胞谱系成为可能。我们对组织生物学理解的这些进展以及识别疾病机制的能力最终将改变疾病的诊断和监测方式。

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