• Asian-Australasian Journal of Animal Sciences
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• v.20 no.5
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• pp.615-621
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• 2007

AMP-activated protein kinase alpha 2 (PRKAA2) plays a key role in regulation of fatty acid and cholesterol metabolism. This study investigated the porcine PRKAA2 gene as a positional candidate for intramuscular fat and backfat thickness traits in pig chromosome 6. A partial fragment of the porcine PRKAA2 gene, amplified by PCR, contained a putative intron 3 including a part of exon 3 and 4, comparable with that of human PRKAA2 gene. Within the fragment, several single nucleotide polymorphisms were identified using multiple sequence alignments. Of these, TaqI restriction enzyme polymorphism was used for genotyping various pig breeds including Korean reference family. Using linkage and physical mapping, the porcine PRKAA2 gene was mapped in the region between microsatellite markers SW1881 and SW1680 on chromosome 6. Allele frequencies were quite different among pig breeds. The full length cDNA of the porcine PRKAA2 (2,145 bp) obtained by RACE containing 1,656 bp open reading frame of deduced 552 amino acids, had sequence identities with PRKAA2 of human (98.2%), rat (97.8%), and mouse (97.5%). These results suggested that the porcine PRKAA2 is a positional candidate gene for fat deposition trait at near telomeric region of the long arm of SSC 6.

• Journal of Life Science
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• v.26 no.8
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• pp.904-910
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• 2016

Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits at the system level. The gene network analysis has been performed by diverse types of methods such as gene co-expression, gene regulatory relationships, protein-protein interaction (PPI) and genetic networks. Moreover, the network-based methods were described for predicting gene functions such as graph theoretic method, neighborhood counting based methods and weighted function. However, there are a limited number of researches in livestock. The present study systemically analyzed genes associated with 102 types of economic traits based on the Animal Trait Ontology (ATO) and identified their relationships based on the gene co-expression network and PPI network in cattle. Then, we constructed the two types of gene network databases and network visualization system (http://www.nabc.go.kr/cg). We used a gene co-expression network analysis from the bovine expression value of bovine genes to generate gene co-expression network. PPI network was constructed from Human protein reference database based on the orthologous relationship between human and cattle. Finally, candidate genes and their network relationships were identified in each trait. They were typologically centered with large degree and betweenness centrality (BC) value in the gene network. The ontle program was applied to generate the database and to visualize the gene network results. This information would serve as valuable resources for exploiting genomic functions that influence economically and agriculturally important traits in cattle.

• Korean Journal of Microbiology
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• v.51 no.4
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• pp.329-337
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• 2015

All known genomes (N=10) in the order Nitrosomonadales were analyzed to contain 9,808 and 908 gene clusters in their pan-genome and core genome, respectively. Analyses with reference genomes belonging to other orders in Betaproteobacteria revealed that sizes of pan-genome and core genome were dependent on the number of genomes compared and the differences of genomes within a group. The sizes of pan-genomes of the genera Nitrosomonas and Nitrosospira were 7,180 and 4,586 and core genomes, 1,092 and 1,600, respectively, which implied that similarity of genomes in Nitrosospira were higher than Nitrosomonas. The genomes of Nitrosomonas contributed mostly to the size of the pan-genome and core genomes of Nitrosomonadales. COG analysis of gene clusters showed that the J (translation, ribosomal structure and biogenesis) category occupied the biggest proportions (9.7-21.0%) among COG categories in core genomes and its proportion increased in the group which genetic distances among members were high. The unclassified category (-) occupied very high proportions (34-51%) in pan-genomes. Ninety seven gene clusters existed only in Nitrosomonadales and not in reference genomes. The gene clusters contained ammonia monooxygenase (amoA and amoB) and -related genes (amoE and amoD) which were typical genes characterizing the order Nitrosomonadales while they contained significant amount (16-45%) of unclassified genes. Thus, these exclusively-conserved gene clusters might play an important role to reveal genetic specificity of the order Nitrosomonadales.

• Management Science and Financial Engineering
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• v.17 no.1
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• pp.1-18
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• 2011

The present study provides a theoretical investigation on pioneering advantage based on reference dependence and loss aversion effect under prospect theory (Kahneman and Tversky, 1979). Behavioral explanations for pioneering advantage are provided from two different perspectives: one based on the prototypicality and the other on the utility uncertainty of the option. A pioneer brand creates the product category and makes a strong impression in customers' mind, and thus becomes the most representative or prototypical option of the category. In addition, the pioneer brand becomes the first option to be experienced by the majority of consumers in the product category, thus has the lowest level of utility uncertainty compared with the late movers. This study integrates the previous accounts for pioneering advantage by showing that consumers have higher preferences for the most prototypical and the least uncertain option based on loss aversion and reference dependence effect. This study suggests that firms should carefully analyze the consumers' loss aversion and perceived uncertainty and prototypicality of their products in order to develop effective market entry strategies.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.141-141
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• 2017

The ubiquitin-proteasome pathway is the major regulatory mechanism in a number of cellular processes for selective degradation of proteins and involves three steps: (1) ATP dependent activation of ubiquitin by E1 enzyme, (2) transfer of activated ubiquitin to E2 and (3) transfer of ubiquitin to the protein to be degraded by E3 complex. F-box proteins are subunit of SCF complex and involved in specificity for a target substrate to be degraded. F-box proteins regulate many important biological processes such as embryogenesis, floral development, plant growth and development, biotic and abiotic stress, hormonal responses and senescence. However, little is known about the F-box genes in wheat. The draft genome sequence of wheat (IWGSC Reference Sequence v1.0 assembly) used to analysis a genome-wide survey of the F-box gene family in wheat. The Hidden Markov Model (HMM) profiles of F-box (PF00646), F-box-like (PF12937), F-box-like 2 (PF13013), FBA (PF04300), FBA_1 (PF07734), FBA_2 (PF07735), FBA_3 (PF08268) and FBD (PF08387) domains were downloaded from Pfam database were searched against IWGSC Reference Sequence v1.0 assembly. RNA-seq paired-end libraries from different stages of wheat, such as stages of seedling, tillering, booting, day after flowering (DAF) 1, DAF 10, DAF 20, and DAF 30 were conducted and sequenced by Illumina HiSeq2000 for expression analysis of F-box protein genes. Basic analysis including Hisat, HTseq, DEseq, gene ontology analysis and KEGG mapping were conducted for differentially expressed gene analysis and their annotation mappings of DEGs from various stages. About 950 F-box domain proteins identified by Pfam were mapped to wheat reference genome sequence by blastX (e-value < 0.05). Among them, more than 140 putative F-box protein genes were selected by fold changes cut-offs of > 2, significance p-value < 0.01, and FDR<0.01. Expression profiling of selected F-box protein genes were shown by heatmap analysis, and average linkage and squared Euclidean distance of putative 144 F-box protein genes by expression patterns were calculated for clustering analysis. This work may provide valuable and basic information for further investigation of protein degradation mechanism by ubiquitin proteasome system using F-box proteins during wheat development stages.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.19 no.2
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• pp.77-87
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• 2006

Objectives : We studied Effect of Platycodon grandiflorum on Lung carcinoma Methods : By using cDNA microarray technique, we analyzed the effects of AEPG(aqueous extract of Platycodon grandiflorum) on the gene expression profile. Results : Out of 384 genes screened associated with growth inhibition of carcinoma cell, 9 genes were founded to be affected in their expression levels by more than 1.2-fold after treatment with AEPG. And 67 genes were changed the expression level 0.5 times more than that of reference RNA after treatment of AEPG. Conclusions: These findings suggest that P. grandiflorum has strong potential for development as an agent for prevention and treatment against human lung cancer.

• Mycobiology
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• v.34 no.4
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• pp.176-179
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• 2006

Two new records of Penicillium from blue moldy bulbs of lily are reported in Korea. The Korean isolates of P. albocoremium (Frisvad) Frisvad and P. tulipae Overy and Frisvad were phylogenetically identical to the reference species based on DNA sequence of the ${\beta}-tubulin$ gene. P. albocoremium and P. tulipae are described and illustrated.

• Genomics & Informatics
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• v.5 no.3
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• pp.124-128
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• 2007

Microarray technology enables us to measure the expression of tens of thousands of genes simultaneously under various experimental conditions. Clustering analysis is one of the most successful methods for analyzing microarray data using the assumption that co-expressed genes may be co-regulated. It is important to extract meaningful clusters from a long unordered list of clusters and to evaluate the functional homogeneity and heterogeneity of clusters. Many quality measures for clustering results have been suggested in different conditions. In the present study, we consider biological pathways as a collection of biological knowledge and used them as a reference for measuring the quality of clustering results and functional homogeneities. PathTalk visualizes and evaluates functional relationships between gene clusters and biological pathways.

• Biomedical Science Letters
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• v.15 no.4
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• pp.295-300
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• 2009

Tuberculosis caused by Mycobacterium tuberculosis (MTB) still remains to be the most dreadful infectious disease affecting almost every country. In the present study, we developed a simple and rapid but accurate and sensitive assay method for detecting MTB using microplate hybridization assay. For this, a selective region of the rpoB gene was used to design PCR primers, and MTB and Mycobacterium genus-specific probe molecules. The specificity of the assay was confirmed using fifteen different mycobacterial reference strains and twelve different non-mycobacterial reference strains, and the sensitivity was determined to be 100 fg using genomic DNA of MTB reference strain, H37Rv. Subsequently, a total of 62 sputum samples with diverse smear scores and culture positive results were used to evaluate the kit performance. In brief, the specificity and the sensitivity of the assay were 100% and 98.4%, respectively.

• Journal of Microbiology
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• v.41 no.3
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• pp.232-238
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• 2003

Previous phylogenetic studies on human immunodeficiency virus type 1 (HIV-1) isolated from Korean patients suggest that the major subtype of Korean isolate is subtype B. In this subtype, some of the Korean isolates seem to be clustered exclusively of foreign isolates. Presence of this so-called “Korean clade” among Korean isolates is unique but needs verification since the number of Korean isolates used in previous studies was limited. This study aimed to identify the presence of the “Korean clade” by molecular phylogenetic analysis using all the Korean nef gene sequences registered in the NCBI GenBank (N=243) together with 32 reference strains and 77 foreign isolates. Extensive analysis of the nef gene nucleotide sequences by neighbor-joining method revealed the following. Most (83.1 ％) of the Korean isolates belonged to subtype B, and 81.2％ of subtype B were clustered together and excluded foreign isolates (bootstrap value=91.9％ ). Within Korean subtype B cluster, no characteristic subcluster formation was evident since the bootstrap values for the subcluster were very low. Due to limited information, the phylogenetic analysis failed to identify the epidemiological linkage among specific groups such as homosexuals and hemophiliacs within the Korean subtype B cluster. Detailed analysis and epidemiological information are needed to clarify the origin and significance of the Korean subtype B cluster.