To determine whether canine malignancies share common genetic lesions with their human counterparts, and are thus potentially interesting model systems in which to pose questions regarding tumor etiology and progression, we have elucidated the entire exon/intron structure of the canine p53 gene. A search for p53 gene abnormalities in mammary tumor tissue was undertaken utilizing single strand conformation polymorphism analysis. Mutations were detected in exons 4, 5, 6, and 7 of the p53 gene and consisted of nonsense, splicing, and frameshift mutations. None of 11 benign tumors and 6 of 40 primary carcinomas (15%) were found to harbor subtle p53 mutations. In 14 carcinomas examined the results in primary tumors and metastases were the same. These findings implicate involvement of this gene in the genesis of some malignant canine tumors, in a fashion similar to their human counterparts.
One hundred and sixteen interspersed repetitive DNA sequence (IRS)-PCR markers have been developed and characterized from Canis familiaris for high-throughput filter-based genotyping. We present a detailed analysis of markers produced by amplification using primers directed to the conserved regions of the C. familiaris short interspersed nuclear element (Can-SINE). The majority of IRS-PCR markers developed were moderately to highly polymorphic with mean heterozygosity (HET) and polymorphism information content (PIC) values of approximately 0.6. The HET value for 22.3% of the markers exceeded 0.7. We also demonstrate that sequence variation of Can-SINEs between breeds is significant and also represents a rich source of polymorphisms. Mapping of 73 of the markers to the existing integrated linkage-radiation hybrid map enriches the map as well as establishes the utility of the markers. The significance and utility of this new class of IRS-PCR Can-SINE-based markers for high-throughput genotyping is discussed. This method can also be extended to other species that are currently map-poor but have a sufficiently high density of SINEs to allow IRS-PCR.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.