Sequence Acquisition from Mapped Single DNA Molecules

从映射的单个 DNA 分子中获取序列

• 批准号: 7900773
• 负责人: DAVID C. SCHWARTZ
• 金额: $ 5.89万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-14 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7900773
• 关键词: Algorithms; Biological Assay; Cleaved cell; Computer software; DNA; DNA Resequencing; DNA Restriction Enzymes; Data; Data Set; Development; Enzymes; Evaluation; Experimental Designs; Fluorescence Resonance Energy Transfer; Fluorochrome; Genome; Genomics; Human Genome; Image; Individual; Information Theory; Label; Length; Libraries; Link; Maps; Measurable; Methods; Molecular; Neighborhoods; Nucleotides; Optics; Primer Extension; Proxy; Relative (related person); Research; Resolution; Restriction Mapping; Scheme; Sequence Analysis; Site; Staining method; Stains; System; Testing; Translations; Variant; Vertebral column; YOYO-1; abstracting; cancer genome; design; gel electrophoresis; molecular imaging; restriction enzyme

DESCRIPTION (provided by applicant): Project Summary/Abstract The direct analysis of "raw" genomic DNA offers an unfiltered and relatively unbiased view of any genome obviating need for clone libraries and PCR amplicons. This advantage is greatly potentiated by the analysis of large numbers of single DNA molecules for creation of voluminous data sets. As such, the development of a scheme for acquisition of sequence information is proposed using large genomic DNA molecules that will be optically barcoded and analyzed for sequence content, offering resolution approaching that of resequencing. Because large DNA molecules are analyzed, this sequence acquisition scheme obtains information from heterochromatic regions, pinpoints structural variants in human genomes, and characterizes aberrations associated with cancer genomes. This scheme also offers opportunities for linking sequence data from emerging sequencing platforms.

描述（由申请人提供）： 项目摘要/摘要 对“原始”基因组 DNA 的直接分析提供了任何基因组的未经过滤且相对公正的视图，从而避免了对克隆文库和 PCR 扩增子的需要。通过分析大量单个 DNA 分子以创建大量数据集，这一优势得到了极大的增强。因此，建议开发一种使用大型基因组 DNA 分子获取序列信息的方案，这些分子将被光学条形码标记并分析序列内容，提供接近重测序的分辨率。由于分析的是大 DNA 分子，因此该序列采集方案可从异染色质区域获取信息，查明人类基因组中的结构变异，并表征与癌症基因组相关的畸变。该方案还提供了连接来自新兴测序平台的序列数据的机会。