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High-throughput gene expression and mutation profiling: Current methods and future perspectives

机译:高通量基因表达和突变分析:当前方法和未来展望

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Following the completion of the human genome sequence at the beginning of the new millennium, a series of high-throughput methods have changed cancer research. Using these techniques, global analysis such as expression profiling could be carried out on a genomic scale. In breast cancer they led to the classification of the intrinsic subtypes, and the development of several prognostic and predictive 'genomic tests' for patient stratification. During the last 2 years we have faced a similar dramatic revolution with the introduction of next generation sequencing (NGS). These techniques allow sequencing of the complete human exome or whole genome with a cost reduction in the order of 10,000-100,000 fold. Consequently, the number of known cancer genome sequences exploded with more than 6,000 samples, published between 2011 and 2013. These studies have led to important and surprising discoveries both for basic cancer research and clinical applications. They relate to understanding the development of cancer as well as the heterogeneity of the disease, and how to use this information to guide the development and application of therapies. Although it is foreseeable that the sequencing surveys of neoplasms will soon conclude, their introduction into clinical practice is just beginning.
机译:在新世纪初人类基因组序列的完成之后,一系列高通量方法改变了癌症研究。使用这些技术,可以在基因组规模上进行整体分析,例如表达谱分析。在乳腺癌中,它们导致了内在亚型的分类,并为患者分层发展了几种预后和预测性“基因组测试”。在过去的两年中,随着下一代测序(NGS)的推出,我们也面临着类似的戏剧性变革。这些技术允许对整个人类外显子组或整个基因组进行测序,而成本降低了10,000-100,000倍。因此,2011年至2013年间,已知的癌症基因组序列数量激增,共有6,000多个样本。这些研究为基础癌症研究和临床应用带来了重要且令人惊讶的发现。它们涉及了解癌症的发展以及疾病的异质性,以及如何使用此信息指导疗法的发展和应用。尽管可以预见的是,对肿瘤的测序研究将很快结束,但将其引入临床实践才刚刚开始。

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