GAP-Seq: a method for identification of DNA palindromes

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• 作者：Hui Yang (1)
  Natalia Volfovsky (2)
  Alison Rattray (1)
  Xiongfong Chen (2)
  Hisashi Tanaka (3)
  Jeffrey Strathern (1)
  
  1. Gene Regulation and Chromosome Biology Laboratory ; Frederick National Laboratory for Cancer Research ; Cancer Research and Development Center ; Frederick ; MD ; 21702 ; USA
  2. ABCC/ ISP ; SAIC-Frederick ; Inc. ; Frederick National Laboratory for Cancer Research ; Frederick ; MD ; 21702 ; USA
  3. Department of Molecular Genetics ; Cleveland Clinic Lerner Research Institute ; Cleveland ; Ohio ; 44195 ; USA
  
• 关键词：Palindrome ; Gene amplification ; Inversion ; PCR ; GAP ; Seq ; GAPF ; Breakpoint ; MCF7 ; Genome instability ; Cancer ; Human diseases
• 刊名：BMC Genomics
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：15
• 期：1
• 全文大小：568 KB
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• 刊物主题：Life Sciences, general; Microarrays; Proteomics; Animal Genetics and Genomics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
• 出版者：BioMed Central
• ISSN：1471-2164

文摘

Background Closely spaced long inverted repeats, also known as DNA palindromes, can undergo intrastrand annealing to form DNA hairpins. The ability to form these hairpins results in genome instability, difficulties in maintaining clones in Escherichia coli and major problems for most DNA sequencing approaches. Because of their role in genomic instability and gene amplification in some human cancers, it is important to develop systematic approaches to detect and characterize DNA palindromes. Results We developed a new protocol to identify palindromes that couples the S1 nuclease treated Cot0 DNA (GAPF) with high-throughput sequencing (GAP-Seq). Unlike earlier protocols, it does not involve restriction enzymatic digestion prior to DNA snap-back thereby preserving longer DNA sequences. It also indicates the location of the novel junction, which can then be recovered. Using MCF-7 breast cancer cell line as the proof-of-principle analysis, we have identified 35 palindrome candidates and physically characterized the top 5 candidates and their junctions. Because this protocol eliminates many of the false positives that plague earlier techniques, we have improved palindrome identification. Conclusions The GAP-Seq approach underscores the importance of developing new tools for identifying and characterizing palindromes, and provides a new strategy to systematically assess palindromes in genomes. It will be useful for studying human cancers and other diseases associated with palindromes.