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Cancer genome sequencing: a review.癌症基因组测序:综述
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本文引用的文献

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BreakDancer: an algorithm for high-resolution mapping of genomic structural variation.BreakDancer:一种用于基因组结构变异高分辨率图谱绘制的算法。
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Recurring mutations found by sequencing an acute myeloid leukemia genome.通过对急性髓系白血病基因组进行测序发现的复发性突变。
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GOLPH3 modulates mTOR signalling and rapamycin sensitivity in cancer.高尔基体蛋白3(GOLPH3)调节癌症中的mTOR信号传导和雷帕霉素敏感性。
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Mutation of FOXL2 in granulosa-cell tumors of the ovary.卵巢颗粒细胞瘤中FOXL2的突变
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Identification and analysis of miRNAs in human breast cancer and teratoma samples using deep sequencing.使用深度测序技术对人乳腺癌和畸胎瘤样本中的微小RNA进行鉴定和分析。
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MicroRNA signature of malignant mesothelioma with potential diagnostic and prognostic implications.恶性间皮瘤的 microRNA 特征及其潜在的诊断和预后意义。
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A miR-200 microRNA cluster as prognostic marker in advanced ovarian cancer.一种作为晚期卵巢癌预后标志物的miR-200微小RNA簇
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miR-15a and miR-16-1 in cancer: discovery, function and future perspectives.miR-15a 和 miR-16-1 在癌症中的作用、发现和未来展望。
Cell Death Differ. 2010 Feb;17(2):215-20. doi: 10.1038/cdd.2009.69. Epub 2009 Jun 5.
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Genomic profiling of microRNAs in bladder cancer: miR-129 is associated with poor outcome and promotes cell death in vitro.膀胱癌中微小RNA的基因组分析:miR-129与不良预后相关并在体外促进细胞死亡。
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10
Repertoire of microRNAs in epithelial ovarian cancer as determined by next generation sequencing of small RNA cDNA libraries.通过小RNA cDNA文库的下一代测序确定的上皮性卵巢癌中的微小RNA文库
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癌症基因组测序:综述

Cancer genome sequencing: a review.

作者信息

Mardis Elaine R, Wilson Richard K

机构信息

The Genome Center, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA.

出版信息

Hum Mol Genet. 2009 Oct 15;18(R2):R163-8. doi: 10.1093/hmg/ddp396.

DOI:10.1093/hmg/ddp396
PMID:19808792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2758710/
Abstract

A genomic era of cancer studies is developing rapidly, fueled by the emergence of next-generation sequencing technologies that provide exquisite sensitivity and resolution. This article discusses several areas within cancer genomics that are being transformed by the application of new technology, and in the process are dramatically expanding our understanding of this disease. Although, we anticipate that there will be many exciting discoveries in the near future, the ultimate success of these endeavors rests on our ability to translate what is learned into better diagnosis, treatment and prevention of cancer.

摘要

随着提供超高灵敏度和分辨率的新一代测序技术的出现,癌症研究的基因组时代正在迅速发展。本文讨论了癌症基因组学中正在因新技术应用而发生变革的几个领域,在此过程中极大地扩展了我们对这种疾病的理解。尽管我们预计在不久的将来会有许多令人兴奋的发现,但这些努力的最终成功取决于我们将所学知识转化为更好地诊断、治疗和预防癌症的能力。