Establishment of a PCR analysis method for canine BRCA2 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Yasunaga Yoshikawa, Masami Morimatsu, Kazuhiko Ochiai, Kento Okuda, Takahiro Taoda, Seishiro Chikazawa, Asako Shimamura, Toshinori Omi, Makoto Bonkobara, Koichi Orino, Kiyotaka Watanabe

ABSTRACT

BACKGROUND: Mammary tumors are the most common tumor type in both human and canine females. In women, carriers of mutations in BRCA2, a tumor suppressor gene product, have a higher risk of breast cancer. Canine BRCA2 has also been suggested to have a relationship with mammary tumors. However, clearly deleterious BRCA2 mutations have not been identified in any canine mammary tumors, as appropriate methods to detect mutations or a consensus BRCA2 sequence have not been reported. FINDINGS: For amplification and sequencing of BRCA2, we designed 14 and 20 PCR primer sets corresponding to the BRCA2 open reading frame (ORF) and all 27 exons, respectively, including exon-intron boundaries of the canine BRCA2 regions, respectively. To define the consensus canine BRCA2 ORF sequence, we used established methods to sequence the full-length canine BRCA2 ORF sequence from two ovaries and a testis obtained from individual healthy mongrel dogs and partially sequence BRCA2 genomic sequences in 20-56 tumor-free dogs, each aged over 6 years. Subsequently, we compared these sequences and seven previously reported sequences, and defined the most common base sequences as the consensus canine BRCA2 ORF sequence. Moreover, we established a detection method for identifying splicing variants. Unexpectedly, we also identified novel splicing variants in normal testes during establishment of these methods. CONCLUSIONS: The present analysis methods for determining the BRCA2 base sequence and for detecting BRCA2 splicing variants and the BRCA2 ORF consensus sequence are useful for better understanding the relationship between canine BRCA2 mutation status and cancer risk. More... »

PAGES

173

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1756-0500-5-173

DOI

http://dx.doi.org/10.1186/1756-0500-5-173

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027851475

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22471976


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-5-173'


 

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