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Single-cell paired-end genome sequencing reveals structural variation per cell cycle

机译:单细胞配对末端基因组测序揭示了每个细胞周期的结构变异

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摘要

The nature and pace of genome mutation is largely unknown. Because standard methods sequence DNA from populations of cells, the genetic composition of individual cells is lost, de novo mutations in cells are concealed within the bulk signal and per cell cycle mutation rates and mechanisms remain elusive. Although single-cell genome analyses could resolve these problems, such analyses are error-prone because of whole-genome amplification (WGA) artefacts and are limited in the types of DNA mutation that can be discerned. We developed methods for paired-end sequence analysis of single-cell WGA products that enable (i) detecting multiple classes of DNA mutation, (ii) distinguishing DNA copy number changes from allelic WGA-amplification artefacts by the discovery of matching aberrantly mapping read pairs among the surfeit of paired-end WGA and mapping artefacts and (iii) delineating the break points and architecture of structural variants. By applying the methods, we capture DNA copy number changes acquired over one cell cycle in breast cancer cells and in blastomeres derived from a human zygote after in vitro fertilization. Furthermore, we were able to discover and fine-map a heritable inter-chromosomal rearrangement t(1;16)(p36;p12) by sequencing a single blastomere. The methods will expedite applications in basic genome research and provide a stepping stone to novel approaches for clinical genetic diagnosis.
机译:基因组突变的性质和速度在很大程度上尚不清楚。因为标准方法是从细胞群中测序DNA,所以丢失了单个细胞的遗传组成,因此在细胞整体信号中隐藏了从头突变,每个细胞周期的突变率和机制仍然难以捉摸。尽管单细胞基因组分析可以解决这些问题,但由于全基因组扩增(WGA)伪像,此类分析容易出错,并且可以识别的DNA突变类型有限。我们开发了用于单细胞WGA产品的配对末端序列分析的方法,该方法能够(i)检测多种类型的DNA突变,(ii)通过发现匹配的异常映射读对来发现DNA拷贝数变化与等位基因WGA扩增假象包括成对的WGA和制图文物,以及(iii)描绘了结构变体的断点和架构。通过应用这些方法,我们在体外受精后捕获了乳腺癌细胞和源自人合子的卵裂球在一个细胞周期内获得的DNA拷贝数变化。此外,我们能够通过对单个卵裂球进行测序来发现并精细定位可遗传的染色体间重排t(1; 16)(p36; p12)。该方法将加快基础基因组研究的应用,并为临床遗传诊断的新方法提供垫脚石。

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