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使用独特分子标识符进行数字测序的原理。

Principles of digital sequencing using unique molecular identifiers.

作者信息

Andersson Daniel, Kebede Firaol Tamiru, Escobar Mandy, Österlund Tobias, Ståhlberg Anders

机构信息

Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden.

Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 413 90, Gothenburg, Sweden; Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, 413 45, Gothenburg, Sweden.

出版信息

Mol Aspects Med. 2024 Apr;96:101253. doi: 10.1016/j.mam.2024.101253. Epub 2024 Feb 16.

Abstract

Massively parallel sequencing technologies have long been used in both basic research and clinical routine. The recent introduction of digital sequencing has made previously challenging applications possible by significantly improving sensitivity and specificity to now allow detection of rare sequence variants, even at single molecule level. Digital sequencing utilizes unique molecular identifiers (UMIs) to minimize sequencing-induced errors and quantification biases. Here, we discuss the principles of UMIs and how they are used in digital sequencing. We outline the properties of different UMI types and the consequences of various UMI approaches in relation to experimental protocols and bioinformatics. Finally, we describe how digital sequencing can be applied in specific research fields, focusing on cancer management where it can be used in screening of asymptomatic individuals, diagnosis, treatment prediction, prognostication, monitoring treatment efficacy and early detection of treatment resistance as well as relapse.

摘要

大规模平行测序技术长期以来一直应用于基础研究和临床常规。最近数字测序的引入通过显著提高灵敏度和特异性,使得以前具有挑战性的应用成为可能,现在甚至可以在单分子水平检测罕见的序列变异。数字测序利用独特分子标识符(UMIs)来最小化测序诱导的误差和定量偏差。在这里,我们讨论UMIs的原理以及它们在数字测序中的使用方式。我们概述了不同UMI类型的特性以及各种UMI方法相对于实验方案和生物信息学的影响。最后,我们描述了数字测序如何应用于特定的研究领域,重点是癌症管理,在该领域它可用于无症状个体的筛查、诊断、治疗预测、预后、监测治疗效果以及早期发现治疗耐药性和复发。

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