• Journal of Acupuncture Research
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• v.21 no.3
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• pp.107-119
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• 2004

Objective : The purpose of this study was to investigate the effect of Bee Venom and melittin on the lipopolysaccharide(LPS) and sodium nitroprusside(SNP)-induced expressions of Cell viability, nitric oxide(NO), inducible nitric oxide synthase(iNOS), extra-signal response kinase(ERK), jun N-terminal Kinase(JNK) and p38 kinase(p38)- mitogen activated protein kinase(MAPK) Family- in RAW 264.7 cells, a murine macrophage cell line. Methods : The expressions of cell viability by MTT assay, NO by Nitrite assay and iNOS, ERK, JNK and p38 were determined by Western blotting. Results : 1. Compared with the control group, 0.5, 1, $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin increased cell viability of RAW 264.7 induced by LPS and SNP significantly respectively. 2. Compared with the control group, 0.5, 1, $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin inhibited expression of NO induced by LPS and SNP significantly respectively. 3. Compared with the control group, 1, $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin inhibited expression of iNOS induced by LPS significantly and 0.5, 1, $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin inhibited expression of iNOS induced by SNP significantly. 4. Compared with the control group, the expression of ERK induced by LPS and SNP decreased significantly in the treatment groups of $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin, which of p-ERK by LPS also did in 1, $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin, but which of p-ERK by SNP did not decrease. 5. Compared with the control group, the. expression of JNK induced by LPS and SNP decreased significantly in the treatment groups of 5, $10{\mu}g/m{\ell}$ melittin, which of p-JNK by LPS in 5, $10{\mu}g/m{\ell}$ melittin and by SNP in $1{\mu}g/m{\ell}$ bee venom and $10{\mu}g/m{\ell}$ melittin decreased significantly. 6. Compared with the control group, the expression of p38 induced by LPS did not have significant difference, which induced by SNP decreased significantly in the treatment groups of 1, $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin. p-p38 induced by LPS decreased significantly in the treatment group of $10{\mu}g/m{\ell}$ of melittin, which induced by SNP also decreased significantly in 0.5, 1, $5{\mu}g/m{\ell}$ bee venom and 5, $10{\mu}g/m{\ell}$ melittin.

• Korean Journal of Agricultural Science
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• v.39 no.3
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• pp.357-364
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• 2012

Genomic breeding value (GEBV) has recently become available in the beef cattle industry. Genomic selection methods are exceptionally valuable for selecting traits, such as marbling, that are difficult to measure until later in life. One method to utilize information from sparse marker panels is the Bayesian model selection method with RJMCMC. The accuracy of prediction varies between a multiple SNP model with RJMCMC (0.47 to 0.73) and a least squares method (0.11 to 0.41) when using SNP information, while the accuracy of prediction increases in the multiple SNP (0.56 to 0.90) and least square methods (0.21 to 0.63) when including a polygenic effect. In the multiple SNP model with RJMCMC model selection method, the accuracy ($r^2$) of GEBV for marbling predicted based only on SNP effects was 0.47, while the $r^2$ of GEBV predicted by SNP plus polygenic effect was 0.56. The accuracies of GEBV predicted using only SNP information were 0.62, 0.68 and 0.73 for CWT, EMA and BF, respectively. However, when polygenic effects were included, the accuracies of GEBV were increased to 0.89, 0.90 and 0.89 for CWT, EMA and BF, respectively. Our data demonstrate that SNP information alone is missing genetic variation information that contributes to phenotypes for carcass traits, and that polygenic effects compensate genetic variation that whole genome SNP data do not explain. Overall, the multiple SNP model with the RJMCMC model selection method provides a better prediction of GEBV than does the least squares method (single marker regression).

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.4
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• pp.417-424
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• 2010

The purpose of this study was to detect significant SNPs for carcass quality traits using DNA chips of high SNP density in Hanwoo populations. Carcass data of two hundred and eighty nine steers sired by 30 Korean proven sires were collected from two regions; the Hanwoo Improvement Center of National Agricultural Cooperative Federation in Seosan, Chungnam province and the commercial farms in Gyeongbuk province. The steers in Seosan were born between spring and fall of 2006 and those in Gyeonbuk between falls of 2004 and 2005. The former steers were slaughtered at approximately 24 months, while the latter steers were fed six months longer before slaughter. Among the 55,074 SNPs in the Illumina bovine 50K chip, a total of 32,756 available SNPs were selected for whole genome association study. After adjusting for the effects of sire, region and slaughter age, phenotypes were regressed on each SNP using a simple linear regression model. For the significance threshold, 0.1% point-wise p value from F distribution was used for each SNP test. Among the significant SNPs for a trait, the best set of SNP markers were selected using a stepwise regression procedure, and inclusion and exclusion of each SNP out of the model was determined at the p<0.001 level. A total of 118 SNPs were detected; 15, 20, 22, 28, 20, and 13 SNPs for final weight before slaughter, carcass weight, backfat thickness, weight index, longissimus dorsi muscle area, and marbling score, respectively. Among the significant SNPs, the best set of 44 SNPs was determined by stepwise regression procedures with 7, 9, 6, 9, 7, and 6 SNPs for the respective traits. Each set of SNPs per trait explained 20-40% of phenotypic variance. The number of detected SNPs per trait was not great in whole genome association tests, suggesting additional phenotype and genotype data are required to get more power to detect the trait-related SNPs with high accuracy for estimation of the SNP effect. These SNP markers could be applied to commercial Hanwoo populations via marker-assisted selection to verify the SNP effects and to improve genetic potentials in successive generations of the Hanwoo populations.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.435-442
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• 2016

Obesity extends the global economic burden and it causes that the failure of a reduction of physical activity, and diet management. In this work, nutritional information and personalized diet based on calorie supply system and is discriminatory utilized the obesity-related SNP information in order to recommend a personalized functional foods. This study performed a GWAS analysis for the excavation of a Korean-specific and obesity-related SNP, which utilizes genetic information were recommended by entering a personalized diet in accordance with the SNP genotype-phenotype information. In addition, we integrated Database with relation of nutrient for utilizing the USDA Food information and it was applied to recommend with Sickdanome. As a result, the obesity-related SNP information was confirmed in the sample which has the normal value BMI. In this study, we have recognized that the phenotype information related obesity, BMI is inconsistent with the SNP genotype information. This result is shown that it is necessary to provide the personalized dietary SickdanOme recommendation based on the both pheotype-genotype information.

• Journal of Animal Science and Technology
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• v.49 no.6
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• pp.719-728
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• 2007

The cysteine and glycine rich protein 3 (CSRP3), apolipoprotein B mRNA editing enzyme catalytic polypeptide‐like 2(APOBEC2) and caveolin (CAV) gene family(CAV1, CAV2, CAV3) have been reported to play important roles for carcass and meat quality traits in pig, mouse, human and cattle. As an initial step, we investigated SNPs in these 5 genes among eight different cattle breeds. Eighteen primer pairs were designed from bovine sequence data of NCBI database to amplify the partial gene fragments. Sequencing results revealed 9 SNPs in the coding regions of three caveolin genes, 1 SNP in CSRP3 and 3 SNPs in APOBEC2 gene. All the identified SNPs were confirmed by PCR-RFLP. Also, 9 more intronic SNPs were detected in these genes. However, all identified mutations in the coding region do not change amino acid sequence. Allelic distributions were significantly different for 5 SNPs in CAV2, CAV3, CSRP3 and APOBEC2 genes among the eight different breeds. These results gave some clues about the polymorphisms of these genes among the cattle breeds and will be useful for further searches for identifying association between these SNPs and meat quality traits in cattle.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.1
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• pp.3-7
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• 2005

The insulin-like growth factors (IGFs), their receptors, and their binding proteins play key roles in regulating cell proliferation and apoptosis. Insulin-like growth factor binding protein-3 (IGFBP3, OMIM #146732) is one of the proteins that bind to the IGFs. IGFBP3 is a modulator of IGF bioactivity, and direct growth inhibitor in the extravascular tissue compartment. We identified twenty-two novel single nucleotide polymorphisms (SNPs) in IGFBP3 gene in Korean cattle (Hanwoo, Bos taurus coreanae) by direct sequencing of full gene including -1,500 bp promoter region. Among the identified SNPs, five common SNPs were screened in 650 Korean cattle; one SNP in promoter (IGFBP3 G-854C), one in 5'UTR region (IGFBP3 G-100A), two in intron 1 (IGFBP3 G+421T, IGFBP3 T+1636A), and one in intron 2 (IGFBP3 C+3863A). The frequencies of each SNP were 0.357 (IGFBP3 G-854C), 0.472 (IGFBP3 G-100A), 0.418 (IGFBP3 G+421T), 0.363 (IGFBP3 T+1636A) and 0.226 (IGFBP3 C+3863A), respectively. Haplotypes and their frequencies were estimated by EM algorithm. Six haplotypes were constructed with five SNPs and linkage disequilibrium coefficients (|D'|) between SNP pairs were also calculated. The information on SNPs and haplotypes in IGFBP3 gene could be useful for genetic studies of this gene.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.7049-7052
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• 2015

Background: Helicobacter pylori plays an important role in gastric cancer, which has a relatively low inciduence in Thailand. MDM2 is a major negative regulator of p53, the key tumor suppressor involved in tumorigenesis of the majority of human cancers. Whether its expression might explain the relative lack of gastric cancer in Thailand was assessed here. Materials and Methods: This single-center study was conducted in the northeast region of Thailand. Gastric mucosa from 100 patients with Helicobacter pylori associated gastritis was analyzed for MDM2 SNP309 using real-time PCR hybridization (light-cycler) probes. Results: In the total 100 Helicobacter pylori associated gastritis cases the incidence of SNP 309 T/T homozygous was 78 % with SNP309 G/T heterozygous found in 19% and SNP309 G/G homozygous in 3%. The result show SNP 309 T/T and SNP 309 G/T to be rather common in the Thai population. Conclusions: Our study indicates that the MDM2 SNP309 G/G homozygous genotype might be a risk factor for gastric cancer in Thailand and the fact that it is infrequent could explain to some extent the low incidence of gastric cancer in the Thai population.

• Korean Journal of Agricultural Science
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• v.45 no.3
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• pp.385-400
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• 2018

Marker-assisted backcrossing (MABC) is useful for selecting offspring with a highly recovered genetic background for a recurrent parent at early generation unlike rice and other field crops. Molecular marker sets applicable to practical MABC are scarce in vegetable crops including tomatoes. In this study, we used the National Center for Biotechnology Information- short read archive (NCBI-SRA) database that provided the whole genome sequences of 234 tomato accessions and selected 27,680 tag-single nucleotide polymorphisms (tag-SNPs) that can identify haplotypes in the tomato genome. From this SNP dataset, a total of 143 tag-SNPs that have a high polymorphism information content (PIC) value (> 0.3) and are physically evenly distributed on each chromosome were selected as a MABC marker set. This marker set was tested for its polymorphism in each pairwise cross combination constructed with 124 of the 234 tomato accessions, and a relatively high number of SNP markers polymorphic for the cross combination was observed. The reliability of the MABC SNP set was assessed by converting 18 SNPs into Luna probe-based high-resolution melting (HRM) markers and genotyping nine tomato accessions. The results show that the SNP information and HRM marker genotype matched in 98.6% of the experiment data points, indicating that our sequence analysis pipeline for SNP mining worked successfully. The tag-SNP set for the MABC developed in this study can be useful for not only a practical backcrossing program but also for cultivar identification and F1 seed purity test in tomatoes.

• The korean journal of orthodontics
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• v.25 no.6 s.53
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• pp.705-714
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• 1995

Due to the great deal of effort that has gone into the study of osteoclastic differentiation and activation over the last few decades, the mechanisms of these two events have been discovered gradually. Nitric oxide($NO^-$), which is produced from arginine by a nitric oxide synthase, opened up a new area of biological research. Recently, it has been reported that $NO^-$ is produced by osteoblasts stimulated by lipopolysaccharide and several other cytokines. In this study, the effect of sodium nitroprusside(SNP), a donor of nitric oxide($NO^-$), on osteoclast-like cell formation and on mature osteoclast function was examined. To determine the mechanism of the inhibitory effects of SNP decreased not only the basal $^{45}Ca$ release but also thee bone resorption induced by PTH and 1,25-dihydroxyvitamin $D_3\;(1,25[OH]_{2}D_3)$. The inhibitory effect of SNP on bone resorption induced by PTH appeared 2 dyas after treatment, whereas SNP effect on inhibiting bone resorption induced by $1,25[OH]_{2}D_3$ appeared at the thhird days. When chicken and rat osteeoclasts were cultured on dentin slices, treatment of $300{\mu}M$ SNP resulted in a significant decrease in dentin resorption by osteoclasts in terms of total resolution area and average individual area. We also examind the effect of SNP on formation of osteoclast-like cells that is TRAP-positive multinucleated cells from chicken and rat bone marrow cells in the presence or absence of $10^{-8}\;M\;1,25[OH]_{2}D_3$. The addition of $300{\mu}M$ SNP inhibiteed the formation of TRAP-positive multinucleated cells. The present data suggest that SNP, possibly as a $NO^-$ donor, inhibits the osteoclastic differentiation and osteoclastic activity.

• Journal of Crop Science and Biotechnology
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• v.11 no.2
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• pp.91-100
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• 2008

Melting curve analysis of fluorescently labeled DNA fragments is used extensively for genotyping single nucleotide polymorphism(SNP). Here, we evaluated a SNP genotyping method by melting curve analysis with the two probe chemistries in a 384-well plate format on a Roche LightCycler 480. The HybProbe chemistry is based on the fluorescence resonance energy transfer(FRET) and the SimpleProbe chemistry uses a terminal self-quenching fluorophore. We evaluated FRET HybProbes and SimpleProbes for two SNP sites closely linked to two quantitative trait loci(QTL) for southern root-knot nematode resistance. These probes were used to genotype the two parents and 94 $F_2$ plants from the cross of PI 96354$\times$Bossier. The SNP genotypes of all samples determined by the LightCycler software agreed with previously determined SSR genotypes and the SNP genotypes determined on a Luminex 100 flow cytometry instrument. Multiplexed HybProbes for the two SNPs showed a 98.4% success rate and 100% concordance between repeats two of the same 96 DNA samples. Also, we developed a HybProbe assay for the Rcs3 gene conditioning broad resistance to the frogeye leaf spot(FLS) disease. The LightCycler 480 provides rapid PCR on 384-well plate and allows simultaneous amplification and analysis in approximately 2 hours without any additional steps after amplification. This allowed for a reduction of the potential contamination of PCR products, simplicity, and enablement of a streamlined workflow. The melting curve analysis on the LightCycler 480 provided high-throughput and rapid SNP genotyping and appears highly effective for marker-assisted selection in soybean.