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癌症基因改变的单核苷酸多态性微阵列分析

Single nucleotide polymorphism microarray analysis of genetic alterations in cancer.

作者信息

Mullighan Charles G

机构信息

Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.

出版信息

Methods Mol Biol. 2011;730:235-58. doi: 10.1007/978-1-61779-074-4_17.

Abstract

The identification of structural genetic alterations, including DNA amplifications, deletions, and loss of heterozygosity (LOH), using single nucleotide polymorphism (SNP) microarrays has provided important insights into the pathogenesis of a number of hematologic malignancies. Currently available SNP arrays comprise over a million SNP and copy number oligonucleotide probes that interrogate the genome at sub-kilobase resolution. The accurate detection of DNA copy number abnormalities and LOH is critically dependent on the use of high-quality DNA, the use of matched reference samples wherever possible, optimal normalization of raw microarray data, and computational algorithms to detect copy number alterations sensitively and robustly. This chapter provides methods and guidelines for preparing samples, processing and analyzing data, and validation of novel lesions. Specific examples are provided for Affymetrix SNP arrays in acute lymphoblastic leukemia.

摘要

利用单核苷酸多态性(SNP)微阵列鉴定包括DNA扩增、缺失和杂合性缺失(LOH)在内的结构基因改变,为多种血液系统恶性肿瘤的发病机制提供了重要见解。目前可用的SNP阵列包含超过一百万个SNP和拷贝数寡核苷酸探针,可在亚千碱基分辨率下对基因组进行检测。DNA拷贝数异常和LOH的准确检测严重依赖于高质量DNA的使用、尽可能使用匹配的参考样本、原始微阵列数据的最佳标准化以及能够灵敏且稳健地检测拷贝数改变的计算算法。本章提供了样本制备、数据处理与分析以及新病变验证的方法和指南。还提供了急性淋巴细胞白血病中Affymetrix SNP阵列的具体示例。

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