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Assessing mutations in cancer by second-generation genome sequencing.

机译:通过第二代基因组测序评估癌症中的突变。

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摘要

Second-generation genome sequencing offers high resolution, high-throughput solutions for assessing mutations in human cancers. One of the most deadly and heavily mutated forms of human cancer is glioblastoma multiforme (GBM), grade IV astrocytoma. In a pilot experiment, we performed whole genome sequencing on the human glioma cell line U87MG using the Life Technologies SOLiD platform. We demonstrated unparalleled sensitivity for small insertions and deletions (indels), single nucleotide variants (SNVs) and structural variations. In the process of analyzing the U87MG sequence data, we developed Breakway, a program to assess structural variants with SOLID data. As a follow-up, a primary GBM bearing a common amplification at 12q13-15 was sequenced. We further assessed this amplification by sequencing three additional low-depth GBMs on the Illumina Genome Analyzer II. We found evidence for two subtypes of amplification events: single, equal copy number amplicons and sporadic, varied copy number amplicons. According to data from the Cancer Genome Atlas for 326 GBMs, amplifications of the CDK4 gene in 12q13-15 correlate with GBM subtype shifts. These data suggest reduced genomic stability in this region in some GBMs.
机译:第二代基因组测序为评估人类癌症中的突变提供了高分辨率,高通量的解决方案。人类癌症中最致命和突变最严重的形式之一是IV级星形细胞瘤多形胶质母细胞瘤(GBM)。在一项先导实验中,我们使用Life Technologies SOLiD平台对人神经胶质瘤细胞系U87MG进行了全基因组测序。我们证明了对小插入和缺失(indels),单核苷酸变异(SNV)和结构变异具有无与伦比的敏感性。在分析U87MG序列数据的过程中,我们开发了Breakway,这是一个使用SOLID数据评估结构变异的程序。作为后续研究,对在12q13-15具有共同扩增的主要GBM进行了测序。我们通过在Illumina Genome Analyzer II上对另外三个低深度GBM进行测序,进一步评估了这种扩增。我们发现了两种扩增事件亚型的证据:单个,等拷贝数扩增子和偶发,不同拷贝数扩增子。根据来自癌症基因组图谱的326 GBMs数据,CDK4基因在12q13-15中的扩增与GBM亚型转变相关。这些数据表明在某些GBM中该区域的基因组稳定性降低。

著录项

  • 作者

    Clark, Michael James.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Biology Genetics.;Biology Bioinformatics.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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