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Assessment of allele dosage at polymorphic microsatellite loci displaying allelic imbalance in tumors by means of quantitative competitive-polymerase chain reaction
Department of Cell and Molecular Biology-Genetics, Göteborg, Sweden ; Department of Medical Microbiology and Immunology, Göteborg, Sweden.
Department of Cell and Molecular Biology-Genetics, Göteborg, Sweden.
Department of Cell and Molecular Biology-Genetics, Göteborg, Sweden.
Department of Cell and Molecular Biology-Genetics, Göteborg, Sweden.
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2005 (English)In: Cancer Genetics and Cytogenetics, ISSN 0165-4608, E-ISSN 1873-4456, Vol. 157, no 2, p. 97-103Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2005. Vol. 157, no 2, p. 97-103
National Category
Genetics and Genomics Medical Genetics and Genomics Cancer and Oncology
Identifiers
URN: urn:nbn:se:his:diva-23010DOI: 10.1016/j.cancergencyto.2004.06.013ISI: 000227463600001PubMedID: 15721629Scopus ID: 2-s2.0-13844266499OAI: oai:DiVA.org:his-23010DiVA, id: diva2:1781531
Funder
Swedish Cancer SocietyIngaBritt and Arne Lundberg’s Research Foundation
Note

This work was supported by the Swedish Cancer Society, the IngaBritt and Arne Lundberg Research Foundation, and the Nilsson-Ehle Foundation.

Available from: 2023-07-10 Created: 2023-07-10 Last updated: 2025-09-29Bibliographically approved

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Behboudi, Afrouz

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