...
首页> 外文期刊>Genome research >NFuse: Discovery of complex genomic rearrangements in cancer using high-throughput sequencing
【24h】

NFuse: Discovery of complex genomic rearrangements in cancer using high-throughput sequencing

机译:NFuse:使用高通量测序发现癌症中复杂的基因组重排

获取原文
获取原文并翻译 | 示例

摘要

Complex genomic rearrangements (CGRs) are emerging as a new feature of cancer genomes. CGRs are characterized by multiple genomic breakpoints and thus have the potential to simultaneously affect multiple genes, fusing some genes and interrupting other genes. Analysis of high-throughput whole-genome shotgun sequencing (WGSS) is beginning to facilitate the discovery and characterization of CGRs, but further development of computational methods is required. We have developed an algorithmic method for identifying CGRs in WGSS data based on shortest alternating paths in breakpoint graphs. Aiming for a method with the highest possible sensitivity, we use breakpoint graphs built from all WGSS data, including sequences with ambiguous genomic origin. Since the majority of cell function is encoded by the transcriptome, we target our search to find CGRs that underlie fusion transcripts predicted from matched highthroughput cDNA sequencing (RNA-seq). We have applied our method, nFuse, to the discovery of CGRs in publicly available data from the well-studied breast cancer cell line HCC1954 and primary prostate tumor sample 963. We first establish the sensitivity and specificity of the nFuse breakpoint prediction and scoring method using breakpoints previously discovered in HCC1954. We then validate five out of six CGRs in HCC1954 and two out of two CGRs in 963. We show examples of gene fusions that would be difficult to discover using methods that do not account for the existence of CGRs, including one important event that was missed in a previous study of the HCC1954 genome. Finally, we illustrate how CGRs may be used to infer the gene expression history of a tumor.
机译:复杂的基因组重排(CGR)正在成为癌症基因组的新特征。 CGRs具有多个基因组断裂点,因此具有同时影响多个基因,融合某些基因并中断其他基因的潜力。高通量全基因组shot弹枪测序(WGSS)的分析已开始促进CGR的发现和表征,但需要进一步发展计算方法。我们已经基于断点图中的最短交替路径,开发了一种用于识别WGSS数据中CGR的算法方法。为了获得最高灵敏度的方法,我们使用从所有WGSS数据构建的断点图,包括具有不明确基因组起源的序列。由于大多数细胞功能是由转录组编码的,因此我们的搜索目标是找到基于匹配的高通量cDNA测序(RNA-seq)预测的融合转录本的CGR。我们已经将我们的方法nFuse应用于在经过充分研究的乳腺癌细胞系HCC1954和原发性前列腺肿瘤样本963的公开数据中发现CGR。我们首先使用以前在HCC1954中发现的断点。然后,我们在HCC1954中验证了六个CGR中的五个,在963年中验证了两个CGR中的两个。我们展示了使用不考虑CGR存在的方法很难发现的基因融合的实例,包括错过的一个重要事件。在先前对HCC1954基因组的研究中。最后,我们说明了如何使用CGR来推断肿瘤的基因表达历史。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号