Literature DB >> 10380756

Rapid DNA mutation identification and fingerprinting using base excision sequence scanning.

G A Hawkins1, L M Hoffman.   

Abstract

Base excision sequence scanning (BESS) is a new polymerase chain reaction (PCR)-based mutation scanning method that locates and identifies all DNA mutations. The BESS method consists of two procedures that generate "T" (BESS T-Scan) and "G" ladders (BESS G-Tracker) analogous to T and G ladders of dideoxy sequencing. The BESS procedures are simple to perform and require no special equipment or gels, no reaction optimization beyond PCR, and no heteroduplex formation. The samples are analyzed on standard sequencing gels or on automated DNA sequencers, and the data produced are easy to interpret, requiring a simple comparison of the sequence of normal and mutant DNA. The BESS method is versatile, having applications not only for mutation detection, but also single nucleotide polymorphism (SNP) discovery and analysis, DNA fingerprinting (including viral and bacterial typing), and clone identification. In this study, we utilize BESS in two of these applications: detection of a point mutation in BRCA1, and DNA typing of human papilloma virus (HPV).

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Year:  1999        PMID: 10380756     DOI: 10.1002/(SICI)1522-2683(19990101)20:6<1171::AID-ELPS1171>3.0.CO;2-1

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  2 in total

1.  A novel and rapid PCR-based method for genotyping human papillomaviruses in clinical samples.

Authors:  J H Nelson; G A Hawkins; K Edlund; M Evander; L Kjellberg; G Wadell; J Dillner; T Gerasimova; A L Coker; L Pirisi; D Petereit; P F Lambert
Journal:  J Clin Microbiol       Date:  2000-02       Impact factor: 5.948

2.  DNA differential diagnosis of human taeniid cestodes by base excision sequence scanning thymine-base reader analysis with mitochondrial genes.

Authors:  Hiroshi Yamasaki; Minoru Nakao; Yasuhito Sako; Kazuhiro Nakaya; Marcello Otake Sato; Wulamu Mamuti; Munehiro Okamoto; Akira Ito
Journal:  J Clin Microbiol       Date:  2002-10       Impact factor: 5.948

  2 in total

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