...
首页> 外文期刊>The Journal of molecular diagnostics: JMD >Next-Generation Sequencing in High-Sensitive Detection of Mutations in Tumors Challenges, Advances, and Applications
【24h】

Next-Generation Sequencing in High-Sensitive Detection of Mutations in Tumors Challenges, Advances, and Applications

机译:高敏感性检测的下一代测序肿瘤突变挑战,进步和应用

获取原文
获取原文并翻译 | 示例

摘要

Next-generation sequencing (NGS) technologies have come of age as preferred technologies for screening of genomic variants of pathologic and therapeutic potential. Because of their capability for high-throughput and massively parallel sequencing, they can screen for a variety of genomic changes in multiple samples simultaneously. This has made them platforms of choice for clinical testing of solid tumors and hematological malignancies. Consequently, they are increasingly replacing conventional technologies, such as Sanger sequencing and pyrosequencing, expression arrays, real-time PCR, and fluorescence in situ hybridization methods, for routine molecular testing of tumors. However, one limitation of routinely used NGS technologies is the inability to detect low-level genomic variants with high accuracy. This can be attributed to the frequent occurrence of low-level sequencing errors and artifacts in NGS workflow that need specialized approaches to be identified and eliminated. This review focuses on the origins and nature of these artifacts and recent improvements in the NGS technologies to overcome them to facilitate accurate high-sensitive detection of low-level mutations. Potential applications of high-sensitive NGS in oncology and comparisons with non-NGS technologies of similar capabilities are also summarized.
机译:下一代测序(NGS)技术已成为筛选具有病理和治疗潜力的基因组变体的首选技术。由于它们具有高通量和大规模并行测序的能力,它们可以同时在多个样本中筛选各种基因组变化。这使得它们成为实体瘤和血液系统恶性肿瘤临床检测的首选平台。因此,它们正在越来越多地取代常规技术,如Sanger测序和焦磷酸测序、表达阵列、实时PCR和荧光原位杂交方法,用于肿瘤的常规分子检测。然而,常规使用的NGS技术的一个局限性是无法高精度检测低水平的基因组变异。这可归因于NGS工作流程中经常出现低级测序错误和工件,需要识别和消除专门的方法。本文综述了这些伪影的起源和性质,以及NGS技术的最新改进,以克服它们,促进低水平突变的准确高灵敏度检测。还总结了高灵敏度NGS在肿瘤学中的潜在应用,以及与具有类似功能的非NGS技术的比较。

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