Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium.
Nucleic Acids Res. 2013 Jul;41(12):6119-38. doi: 10.1093/nar/gkt345. Epub 2013 Apr 29.
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.
基因组突变的性质和速度在很大程度上是未知的。由于标准方法是从细胞群体中对 DNA 进行测序,因此单个细胞的遗传组成丢失了,细胞中新出现的突变被隐藏在大量信号中,每个细胞周期的突变率和机制仍然难以捉摸。虽然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) 伪影,此类分析容易出错,并且受到可以识别的 DNA 突变类型的限制。我们开发了用于单细胞 WGA 产物的配对末端序列分析的方法,这些方法能够:(i) 检测多种类型的 DNA 突变;(ii) 通过发现配对末端 WGA 和映射伪影中大量配对末端 WGA 中匹配的异常映射读对,区分 DNA 拷贝数变化与等位基因 WGA 扩增伪影;(iii) 描绘结构变异的断点和结构。通过应用这些方法,我们捕获了乳腺癌细胞和体外受精后人类受精卵衍生的卵裂球中一个细胞周期内获得的 DNA 拷贝数变化。此外,我们还能够通过对单个卵裂球进行测序发现并精细映射可遗传的染色体间重排 t(1;16)(p36;p12)。这些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一个起点。