Representational analysis of DNA copy number/methylation
Representational analysis of DNA copy number/methylation
批准号:
6691586
负责人:
KEVIN L GUNDERSON
金额:
$9.97万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-30 至 2004-06-30
关键词:
DNA methylation DNA replication experimental designs functional /structural genomics genetic models genome high throughput technology human genetic material tag microarray technology model design /development polymerase chain reaction representational difference analysis restriction endonucleases subtraction hybridization technology /technique development
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Changes in methylation state and DNA copy number within the genome play a key role in cancer development and progression. Localization and quantification of these changes is important to the discovery of new tumor suppressor genes and oncogenes, and offers great potential in classifying cancer for clinical disease management. As such, the overall objective of this project is to develop a high-throughput array-based commercial technology to globally scan the genome for changes in DNA copy number (goal to detect two-fold differences) and methylation state. This will be accomplished via a reduced complexity representation approach using comparative genomic hybridization (CGH) and restriction landmark genome scanning (RLGS) technology on a BeadArrayTM platform. There are several immediate benefits offered by this representation approach. First of all, amplification of the representations will enhance signal to noise on the array. Secondly, improvements in generating representations will provide a more reproducible and robust process, allowing accurate detection of DNA copy number and methylation changes especially from archival samples exhibiting DNA degradation. Finally by converting RLGS from a 2-D gel-based approach (approximately 1000-2000 loci) to a BeadArrayTM-based analysis (approximately 1000-50,000 loci), a much higher locus resolution and sample throughput will be realized. This should enable the large-scale analysis of hundreds to thousands of tumor samples and lead to improved understanding of tumorogenesis. Phase II will apply this technology to the analysis of tumor samples and cell lines.
期刊论文(3)
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科研奖励(0)
会议论文
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依托单位:
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依托单位:
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批准号:6934807
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项目类别:
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资助金额:$58.4万
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财政年份:2003
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负责人:KEVIN L GUNDERSON
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依托单位:
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项目类别:
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资助金额:$49.07万
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财政年份:2003
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负责人:KEVIN L GUNDERSON
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依托单位:
海外基金