• Title of article

    Assessment of allele dosage at polymorphic microsatellite loci displaying allelic imbalance in tumors by means of quantitative competitive-polymerase chain reaction

  • Author/Authors

    Lisbeth and Sjِling، نويسنده , , إsa and Walentinsson، نويسنده , , Anna and Nordlander، نويسنده , , Carola and Karlsson، نويسنده , , إsa and Behboudi، نويسنده , , Afrouz and Samuelson، نويسنده , , Emma and Levan، نويسنده , , Gِran and Rِhme، نويسنده , , Dan، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2005
  • Pages
    7
  • From page
    97
  • To page
    103
  • Abstract
    Analysis of allelic imbalance at polymorphic marker loci is usually employed to identify chromosomal regions affected by recurrent aberrations in tumor genomes. Such regions are likely to harbor genes involved in the onset and/or progression of cancer. Although often used to identify regions of loss of heterozygosity caused by deletions/rearrangements near tumor suppressor gene loci, allelic imbalance can also reflect regional amplification, indicating the presence of oncogenes. It is difficult to tell these two situations apart after ordinary polymerase chain reaction (PCR), but here we describe a method that distinguishes allelic loss from allelic gain. The level of allelic imbalance was determined by quantitative PCR (QPCR) in the presence of an internal control DNA that displayed a third allele at the locus studied. To validate the efficiency of allele quantitation, we analyzed an amplified region in a set of rat fibrosarcomas. In four tumor samples with amplification of the Met oncogene, we could show with QPCR that there was amplification of one of the alleles at a microsatellite marker located close to Met. QPCR may be useful for cancer studies because experiments may be predesigned for using either suitable microsatellite markers or the abundant and polymorphic poly-A tails of rodent identifier sequences.
  • Journal title
    Cancer Genetics and Cytogenetics
  • Serial Year
    2005
  • Journal title
    Cancer Genetics and Cytogenetics
  • Record number

    1826576