PAKISTAN
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Expression of Canine Kynurenine 3-Monooxygenase by Baculovirus for Canine Mammary Tumor Diagnosis
 

Hui-Yu Chen1, Cheng-Chi Liu1, Bang-Hung Liu1 and Chen-Si Lin1, 2*

 
1Department of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
2Animal Cancer Center, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan
*Corresponding author: cslin100@ntu.edu.tw

Abstract   

Kynurenine 3-monooxygenase (KMO), an outer mitochondrial membrane enzyme that is central to the kynurenine pathway, has been demonstrated to be associated with malignancy in human cancers. Cancers in dogs are considered reliable and clinically relevant models of human diseases owing to similarities in the natural history of these human and canine tumors and the superficial resemblances in the anatomy, topology, metastatic patterns, and response to therapy between canine and human cancers. This study aims to establish an efficient protocol to prepare the recombinant canine KMO protein for potential application in canine cancer study. The amino acid sequence and structure of canine KMO were analyzed using homology modeling provided by SWISS-MODEL. The canine KMO (cKMO) was produced by using a baculovirus–insect cell (Sf9 cells) expression system. Full-length cKMO was expressed by the baculovirus-infected Sf9 cells as a 477-amino-acid protein with a molecular weight of 55 kDa. On average a yield of 2 mg of protein was obtained from 2 × 108 baculovirus-infected Sf9 cells. The results from western blot and immunofluorescent assay showed KMO can be successfully expressed by Sf9 cells within the cytosol and mitochondria. The purified recombinant KMO protein could be used as an antigen for generating anti-cKMO antibodies to further investigate the role in canine carcinogenesis.

To Cite This Article: Chen HY, Liu CC, Liu BH and Lin CS, 2020. Expression of canine kynurenine 3-monooxygenase by baculovirus for canine mammary tumor diagnosis. Pak Vet J. http://dx.doi.org/10.29261/pakvetj/2020.012

 
   

ISSN 0253-8318 (Print)
ISSN 2074-7764 (Online)



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