• KOREAN JOURNAL OF CROP SCIENCE
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• v.51 no.spc1
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• pp.160-165
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• 2006

Biofuctionality of soybean seeds and soy-bean products have been fortified by the uncovering of the multifuctional beneficial effects of isoflavones. As one way to fully utilize beneficial effects of isoflavones in soybean sprout is through the enhancement of isoflavone contents in soybean seeds, genetic selection for higher isoflavone and cultivational measures to increase isoflavone content in soybean seeds were attempted. Isoflavones (daidzein, gemstein) contents in soybean seeds and soybean sprouts were determined by high performance liquid chromatography. Total isoflavone contents in soybean seeds ranged from 756 to $1,682{\mu}g/g$ and Iksan #13 $(1,682{\mu}g/g)$ showed highest content among the 21 germplasms analyzed. Onetime treatment of soybean plants with Antipol or Piaster at the $V_4$ stage yielded seeds with higher isoflavones as $2,472{\mu}g/g\;or\;2,052{\mu}g/g$, respectively, which were higher by 37% and 14% than that of seeds in the control plants, respectively. In Eunhakong, Isoflavone contents of soybean sprout changed during sprouting. Daidzein content in hypocotyl increased to maximum on the third day of cultivation and decreased there-after, whereas the content changed little in cotyledon. In sprouts of Pungsannamulkong, daidzein content in hypocotyl showed a maximum level on the first day and decreased gradually thereafter but, the content changed little in cotyledon. Total isoflavone contents in lateral roots which developed on the 6th day after sprouting ranged from 4,416 to $5,232{\mu}g/g$ DW.

• Journal of Animal Science and Technology
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• v.55 no.5
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• pp.359-365
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• 2013

Estimate breeding value can be used as single trait animal model was developed directly using the Fortran language program. The program is based on data computed by using the indirect method repeatedly. The program develops a common algorithm and imprves efficiency. Algorithm efficiency was compared between the two programs. Estimated using the solution is easy to farm and brand the service, pedigree data base was associated with the development of an improved system. The existing program that uses the single trait animal model and the comparative analysis of efficiency is weak because the estimation of the solution and the conventional algorithm programmed through regular formulation involve many repetition; therefore, the newly developed algorithm was conducted to improve speed by reducing the repetition. Single trait animal model was used to analyze Gauss-Seidel iteration method, and the aforesaid two algorithms were compared thorough the mixed model equation which is used the most commonly in estimating the current breeding value by applying the procedures such as the preparation of information necessary for modelling, removal of duplicative data, verifying the parent information of based population in the pedigree data, and assigning sequential numbers, etc. The existing conventional algorithm is the method for reading and recording the data by utilizing the successive repetitive sentences, while new algorithm is the method for directly generating the left hand side for estimation based on effect. Two programs were developed to ensure the accurate evaluation. BLUPF90 and MTDFREML were compared using the estimated solution. In relation to the pearson and spearman correlation, the estimated breeding value correlation coefficients were highest among all traits over 99.5%. Depending on the breeding value of the high correlation in Model I and Model II, accurate evaluation can be found. The number of iteration to convergence was 2,568 in Model I and 1,038 in Model II. The speed of solving was 256.008 seconds in Model I and 235.729 seconds in Model II. Model II had a speed of approximately 10% more than Model I. Therefore, it is considered to be much more effective to analyze large data through the improved algorithm than the existing method. If the corresponding program is systemized and utilized for the consulting of farm and industrial services, it would make contribution to the early selection of individual, shorten the generation, and cultivation of superior groups, and help develop the Hanwoo industry further through the improvement of breeding value based enhancement, ultimately paving the way for the country to evolve into an advanced livestock country.

• Tuberculosis and Respiratory Diseases
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• v.63 no.1
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• pp.42-51
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• 2007

Background: TRAIL is a cytokine that selectively induces apoptosis in various cancer cell lines. Gefitinib is new targeted drug applied in lung cancer that selectively inhibits EGFR tyrosine kinase. However, lung cancers have shown an initial or acquired resistance to these drugs. This study examined the effect of IGF-1R and its blockade on enhancing the sensitivity of lung cancer cell lines to TRAIL and gefitinib. Methods: Two lung cancer cell lines were used in this study. NCI H460 is very sensitive to TRAIL and gefitinib. On the other hand, A549 shows moderate resistance to TRAIL and gefitinib. The IGF-1R blockade was performed using adenoviruses expressing the dominant negative IGF-1R and shRNA to IGF-1R and AG1024 (IGF-1R tyrosine kinase inhibitor). Results: The adenovirus expressing dominant negative IGF-1R(950st) induced the increased expression of defective IGF-1R on the lung cancer cell surface, and the adenovirus-shIGF-1R effectively decreased the level of IGF-1R expression on cell surface. The genetic blockade of IGF-1R by the adenovirus-dnIGF-1R and AG1024 increased the sensitivity of A549 cells to TRAIL. The reduction of IGF-1R by transduction with ad-shIGF-1R also increased the sensitivity of the A549 cells to gefitinib. Conclusion: The blockade of IGF-1R through various mechanisms increased the sensitivity of the lung cancer cell line that was resistant to TRAIL and gefitinib. However, further studies using other cell lines showing acquired resistance as well as in vivo animal experiments will be needed.