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通过代表性寡核苷酸微阵列分析进行比较基因组杂交。

Comparative genomic hybridization by representational oligonucleotide microarray analysis.

作者信息

Lucito Robert, Byrnes James

机构信息

Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

出版信息

Methods Mol Biol. 2009;556:33-46. doi: 10.1007/978-1-60327-192-9_4.

Abstract

The central cause to any cancer ultimately lies in the genome and the initial alterations that result in changes in gene expression that are reflected in the phenotype of the cancer cell. The gene expression data are rich in information but the primary lesions responsible for carcinogenesis are obscured due to the complex cascade of expression changes that can occur. The primary lesions can be characterized by the smallest of point mutations to small insertions and deletions (in/dels) to much larger deletions and amplifications (for simplicity all copy number gains will be referred to as amplifications) as well as balanced or unbalanced translocations. In addition to these mutations there are a myriad of epigenetic alterations that affect the cells phenotype. Any gene if important to tumor growth will be altered by mutation or by deletion/amplification eventually, and if a large number of tumor samples is analyzed the majority of these genes will be detected. This chapter describes a variation of comparative genomic hybridization, called Representational oligonucleotide microarray analysis (ROMA), that surveys reduced-complexity representations of tumor genomic DNA to discover deletions and amplifications (and the underlying cancer genes).

摘要

任何癌症的核心病因最终都在于基因组以及最初导致基因表达变化的改变,这些变化反映在癌细胞的表型中。基因表达数据蕴含丰富信息,但由于可能发生的复杂表达变化级联,导致致癌的主要病变被掩盖。主要病变的特征可以是最小的点突变、小的插入和缺失(插入/缺失)、更大的缺失和扩增(为简单起见,所有拷贝数增加都将称为扩增)以及平衡或不平衡的易位。除了这些突变外,还有无数影响细胞表型的表观遗传改变。任何对肿瘤生长重要的基因最终都会通过突变或缺失/扩增而改变,如果分析大量肿瘤样本,这些基因中的大多数都会被检测到。本章描述了一种比较基因组杂交的变体,称为代表性寡核苷酸微阵列分析(ROMA),它通过检测肿瘤基因组DNA的低复杂度代表性片段来发现缺失和扩增(以及潜在的癌症基因)。

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