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一种测量DNA拷贝数变异的新技术:竞争性基因组聚合酶链反应。

A novel technique for measuring variations in DNA copy-number: competitive genomic polymerase chain reaction.

作者信息

Iwao-Koizumi Kyoko, Maekawa Kazunori, Nakamura Yohko, Saito Sakae, Kawamoto Shoko, Nakagawara Akira, Kato Kikuya

机构信息

Research Institute, Osaka Medical Center for Cancer and Cardiovascular Diseases, Nakamichi, Higashinari-ku, Osaka, Japan.

出版信息

BMC Genomics. 2007 Jul 2;8:206. doi: 10.1186/1471-2164-8-206.

DOI:10.1186/1471-2164-8-206
PMID:17601344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1920520/
Abstract

BACKGROUND

Changes in genomic copy number occur in many human diseases including cancer. Characterization of these changes is important for both basic understanding and diagnosis of these diseases. Microarrays have recently become the standard technique and are commercially available. However, it is useful to have an affordable technique to complement them.

RESULTS

We describe a novel polymerase chain reaction (PCR)-based technique, termed competitive genomic PCR (CGP). The main characteristic of CGP is that different adaptors are added to the sample and control genomic DNAs after appropriate restriction enzyme digestion. These adaptor-supplemented DNAs are subjected to competitive PCR using an adaptor-primer and a locus-specific primer. The amplified products are then separated according to size differences between the adaptors. CGP eliminates the tedious steps inherent in quantitative PCR and achieves moderate throughput. Assays with different X chromosome numbers showed that it can provide accurate quantification. High-resolution analysis of neuroblastoma cell lines around the MYCN locus revealed novel junctions for amplification, which were not detected by a commercial array.

CONCLUSION

CGP is a moderate throughput technique for analyzing changes in genomic copy numbers. Because CGP can measure any genomic locus using PCR primers, it is especially useful for detailed analysis of a genomic region of interest.

摘要

背景

基因组拷贝数变化发生在包括癌症在内的许多人类疾病中。对这些变化的特征描述对于这些疾病的基础理解和诊断都很重要。微阵列最近已成为标准技术且有商业产品可供使用。然而,拥有一种经济实惠的技术来补充它们是很有用的。

结果

我们描述了一种基于聚合酶链反应(PCR)的新技术,称为竞争性基因组PCR(CGP)。CGP的主要特点是在适当的限制性内切酶消化后,将不同的接头添加到样品和对照基因组DNA中。这些添加了接头的DNA使用接头引物和位点特异性引物进行竞争性PCR。然后根据接头之间的大小差异分离扩增产物。CGP消除了定量PCR中固有的繁琐步骤,并实现了中等通量。对不同X染色体数目的检测表明它可以提供准确的定量。对MYCN基因座周围神经母细胞瘤细胞系的高分辨率分析揭示了新的扩增连接点,这是商业阵列未检测到的。

结论

CGP是一种用于分析基因组拷贝数变化的中等通量技术。由于CGP可以使用PCR引物测量任何基因组位点,因此它对于感兴趣的基因组区域的详细分析特别有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/aa442f77ecd8/1471-2164-8-206-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/1719cb611893/1471-2164-8-206-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/e33b0a7ce151/1471-2164-8-206-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/d95d78128b9d/1471-2164-8-206-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/61b958a0fd5d/1471-2164-8-206-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/aa442f77ecd8/1471-2164-8-206-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/1719cb611893/1471-2164-8-206-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/e33b0a7ce151/1471-2164-8-206-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/d95d78128b9d/1471-2164-8-206-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/61b958a0fd5d/1471-2164-8-206-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/1920520/aa442f77ecd8/1471-2164-8-206-5.jpg

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本文引用的文献

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BMC Genomics. 2005 Dec 13;6:180. doi: 10.1186/1471-2164-6-180.
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Allele quantification using molecular inversion probes (MIP).使用分子倒置探针(MIP)进行等位基因定量分析。
Nucleic Acids Res. 2005 Nov 28;33(21):e183. doi: 10.1093/nar/gni177.
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High-resolution detection and mapping of genomic DNA alterations in neuroblastoma.神经母细胞瘤中基因组DNA改变的高分辨率检测与图谱绘制
Genes Chromosomes Cancer. 2005 Aug;43(4):390-403. doi: 10.1002/gcc.20198.
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No evidence for correlation of DDX1 gene amplification with improved survival probability in patients with MYCN-amplified neuroblastomas.在MYCN扩增的神经母细胞瘤患者中,没有证据表明DDX1基因扩增与提高生存概率相关。
J Clin Oncol. 2005 May 1;23(13):3167-8; author reply 3168-70. doi: 10.1200/JCO.2005.05.346.
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Adaptor-tagged competitive polymerase chain reaction: amplification bias and quantified gene expression levels.衔接子标签竞争性聚合酶链反应:扩增偏倚与定量基因表达水平
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Cancer gene expression database (CGED): a database for gene expression profiling with accompanying clinical information of human cancer tissues.癌症基因表达数据库(CGED):一个用于人类癌症组织基因表达谱分析及附带临床信息的数据库。
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