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BRAF寡核苷酸微阵列的研发与应用

Development and applications of a BRAF oligonucleotide microarray.

作者信息

Kim Il-Jin, Kang Hio Chung, Jang Sang Geun, Ahn Sun-A, Yoon Hyun-Ju, Park Jae-Gahb

机构信息

Laboratory of Cell Biology, Cancer Research Institute and Cancer Research Center, Seoul National University, Seoul, Korea 110-799.

出版信息

J Mol Diagn. 2007 Feb;9(1):55-63. doi: 10.2353/jmoldx.2007.060072.

Abstract

We herein describe the development of a sensitive microarray hybridization method called competitive DNA hybridization (CDH) and its use for analysis of BRAF somatic mutations. These mutations have been identified in many human cancers, and fast, reliable BRAF mutation detection may one day facilitate directed therapy of BRAF-mutated tumors. Our fast, reliable mutation detection by CDH is based on the principle that competition among multiple fluorescent-labeled samples for binding to shared wild-type sequences should reduce nonspecific results and increase the positive signals of unshared mutated sequences. The positive signals can then be discriminated based on the labeling of each sample (ie, with Cy3, Cy5, or Alexa-594). For testing of this method, we developed a BRAF oligonucleotide microarray containing 65 mutation types (more than 95% of the known BRAF mutations) and validated this microarray with 20 colorectal cancer tissues/cancer cell lines with BRAF mutations and 60 BRAF-negative samples. In sum, we were able to screen up to nine cancer samples on a single BRAF microarray (three per CDH on three regions per slide), indicating that this method may dramatically decrease the experimental time, cost, and effort of mutation detection in BRAF and other genes amenable to microarray analysis.

摘要

我们在此描述了一种名为竞争性DNA杂交(CDH)的灵敏微阵列杂交方法的开发及其用于BRAF体细胞突变分析的应用。这些突变已在许多人类癌症中被鉴定出来,快速、可靠的BRAF突变检测也许有一天会促进对BRAF突变肿瘤的定向治疗。我们通过CDH进行的快速、可靠的突变检测基于这样一个原理:多个荧光标记样本竞争与共享野生型序列结合应减少非特异性结果,并增加未共享突变序列的阳性信号。然后可以根据每个样本的标记(即使用Cy3、Cy5或Alexa - 594)来区分阳性信号。为了测试该方法,我们开发了一种包含65种突变类型(超过95%的已知BRAF突变)的BRAF寡核苷酸微阵列,并用20个具有BRAF突变的结直肠癌组织/癌细胞系和60个BRAF阴性样本对该微阵列进行了验证。总之,我们能够在单个BRAF微阵列上筛查多达九个癌症样本(每张载玻片三个区域,每个CDH三个样本),这表明该方法可能会显著减少BRAF及其他适合微阵列分析的基因的突变检测的实验时间、成本和工作量。

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