• Journal of Plant Biotechnology
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• v.36 no.4
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• pp.397-402
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• 2009

Ornithinine carbamoyltransferase (OTC) is an enzyme that catalyzes the key step in arginine biosynthesis in bacteria and plants. OTC is also involved in the urea cycle and deficiency of the enzyme in human leads to disease. The argF gene encoding OTC has been reported in many bacteria and few plants. Here we report the characterization of a gene encoding OTC from rice (OsOTC). Analysis of a cDNA sequence from rice revealed that the full-length open reading frame of OsOTC consisted of 367 amino acids, corresponding to a protein of approximately 39.7 kDa. The predicted amino acid sequence of OsOTC harbor distinct five OTC signature sites and is highly homologous to that of enzymes of plants, animals and many bacterial OTCs. Expression of OsOTC in argF mutants of Escherichia coli showed that the gene was able to functionally complement to the mutant. These results suggest that the OsOTC encode a protein for ornithine carbamoyltransferase in rice.

• The KIPS Transactions:PartC
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• v.14C no.2
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• pp.123-128
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• 2007

Many service systems use Public Key Infrastructure (PKI) to protect the service. But there arc problems with the use of PKI. One of the problems is that some services would require a function instantaneously to check public kel certificate, but PKI does not satisfy such request. To solve the problem, Bouch et al. first proposed the concept of mediated RSA (mRSA). Then Gene Tsudik proposed 'weak' forward secure mRSA. In this paper, we analyze the weakness of these schemes and find the source of the vulnerabilitv. And we propose a new mRSA that is strong forward secure.

• Journal of Microbiology and Biotechnology
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• v.13 no.6
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• pp.846-852
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• 2003

rpoB DNAs (279 bp) from 34 species of 5 actinomycete genera were sequenced and a phylogenetic tree was constructed based on the sequences obtained. The genera were clearly differentiated in the rpoB tree, forming clades specific to their respective genus. In addition, 2 signature amino acid residues specific to Streptomyces were found in a multiple alignment of the deduced amino acid sequences. To empirically confirm that this rpoB gene analysis system could be used to differentiate actinomycete isolates, the proposed system was used to identify 16 actinomycete isolates from Jeju Island. All isolates were successfully differentiated into the genera Streptomyces and Micromonospora. Accordingly, this is the first report that an rpoB sequence analysis has been effectively used to differentiate actinomycete strains at the genus level.

• Journal of Microbiology
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• v.37 no.4
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• pp.218-223
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• 1999

Legionella pneumophila, the cause of Legionnaires disease, is able to survive intracellularly in eukaryotic cells such as monocytes, macrophages, and protozoan organisms. During protein biosynthesis, the rph gene encodes ribonuclease (RNase) PH which functions as a phosphorolytic nuclease that removes nucleotides following the CCA terminus of tRNA and as a nucleotidyl-transferase which adds nucleotides to the ends of RNA molecules by usingnucelside diohosphates as substrates. In this sutdy, the rph gene was screened in pUC19 library employing a DNA probe which was constructed from PCR based on a consensus pattern of multiple alignment of RNas PH. The encoded protein consists of 235 amino acid residues with a calculated molecular weight of 26,112 Daltons. The RNase PH signature domains are completely conserved.

• Biomolecules & Therapeutics
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• v.28 no.6
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• pp.491-502
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• 2020

Sex/gender disparity has been shown in the incidence and prognosis of many types of diseases, probably due to differences in genes, physiological conditions such as hormones, and lifestyle between the sexes. The mortality and survival rates of many cancers, especially liver cancer, differ between men and women. Due to the pronounced sex/gender disparity, considering sex/gender may be necessary for the diagnosis and treatment of liver cancer. By analyzing research articles through a PubMed literature search, the present review identified 12 genes which showed practical relevance to cancer and sex disparities. Among the 12 sex-specific genes, 7 genes (BAP1, CTNNB1, FOXA1, GSTO1, GSTP1, IL6, and SRPK1) showed sex-biased function in liver cancer. Here we summarized previous findings of cancer molecular signature including our own analysis, and showed that sex-biased molecular signature CTNNB1^High, IL6^High, RHOA^High and GLIPR1^Low may serve as a female-specific index for prediction and evaluation of OS in liver cancer patients. This review suggests a potential implication of sex-biased molecular signature in liver cancer, providing a useful information on diagnosis and prediction of disease progression based on gender.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.545-549
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• 2009

Microarray data sets could contain thousands of gene expression levels and have been considered as an important source from which meaningful patterns could be extracted for further analysis in biological studies. It is sometimes necessary to retrieve out specific genes or samples of analyst's interest in an effective way. This paper is concerned with a method to make use of fuzzy signature set in order to filter out genes or samples which satisfy complicated constraints as well as simple ones. Fuzzy signatures are an extension of vector valued fuzzy sets, in which elements of the vector are allowed to have a vector. Fuzzy signature sets are similar to fuzzy signatures except that their leaf elements are fuzzy sets defined on the interval [0,1]. This paper introduces an extension of fuzzy signature sets which specifies aggregation operators at each internal node and comparison operators for aggregation. It also shows how to use the extended fuzzy signature sets in microarray data retrieval and some examples of its usage.

• BMB Reports
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• v.39 no.2
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• pp.178-182
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• 2006

Four strains of Acidithiobacillus ferrooxidans with different iron oxidation capacity were isolated from different mine drainage stations. The 16S rRNA gene of these strains were cloned and sequenced. Based on our sequences analysis on the four strain and the data on the other strains deposited in Genbank, all A. ferrooxidans may be classified into three phylogenetic groups. The analysis data showed that nucleotide variables (signature sites) were detected in 21 positions, and most of them were found in the first 800bp from 5' terminal except position 970 and 1375. Interestingly, the first 13 signature sites were located in two main regions:the first region (position 175-234) located in V2 while the second region (position 390-439) were detected in constant region between V2 and V3. Furthermore, the secondary structure and minimal free energy were determined in two regions among strains of three groups. These results may be useful in characterizing the microevolutionary mechanisms of species formation and monitoring in biohydrometallurgical application.

• Proceedings of the Microbiological Society of Korea Conference
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• 2006.05a
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• pp.129-131
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• 2006

Through molecular phylogenetic analysis using the nef gene sequences of HIV-l isolated from Korean registered in the NCBI GenBank together with 41 reference strains and 94 foreign isolates, we verified that most (${\sim}80%$) of Korean isolates belonged to subtype B and 78% of subtype B were clustered together exclusively of foreign isolates, and this cluster was named Korean clade subtype B ($K_cB$). Similarity study suggested that the $K_cB$ cluster was more homogeneous than and clearly distinctive from the non-Korean subtype B ($NK_cB$). Comparison of the consensus amino acid sequences of the $K_cB\;or\;NK_cB$ revealed characteristic $K_cB$ signature amino acid pattern comprised of 13 amino acid residues. The $K_cB$ signature amino acid residues were critical in separating the $K_cB$ ftom the $NK_cB$, since substitution of the $NK_cB$ sequences with $K_cB$ signature amino acids relocated them to the Koran clade, and vice versa. Synonymous and nonsynonymous substitution rate study suggested positive selection event for the $K_cB$.

• Genomics & Informatics
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• v.20 no.1
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• pp.13.1-13.4
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• 2022

A major issue in the use of immune checkpoint inhibitors is their lack of efficacy in many patients. Previous studies have reported that the T cell inflamed signature can help predict the response to immunotherapy. Thus, many studies have investigated mechanisms of immunotherapy resistance by defining the tumor microenvironment based on T cell inflamed and non-T cell inflamed subsets. Although methods of calculating T cell inflamed subsets have been developed, valid screening tools for distinguishing T cell inflamed from non-T cell inflamed subsets using gene expression data are still needed, since general researchers who are unfamiliar with the details of the equations can experience difficulties using extant scoring formulas to conduct analyses. Thus, we introduce TcellInflamedDetector, an R package for distinguishing T cell inflamed from non-T cell inflamed samples using cancer gene expression data via bulk RNA sequencing.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.185-190
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• 2014

Influence of loneliness on human survival has been established epidemiologically, but genomic research remains undeveloped. We identified 34 loneliness-associated genes which were statistically significant for high-lonely and low-lonely individuals. With the univariate Cox proportional hazards regression model, we obtained corresponding regression coefficients for loneliness-associated genes fo individual cancer patients. Furthermore, risk scores could be generated with the combination of gene expression level multiplied by corresponding regression coefficients of loneliness-associated genes. We verified that high-risk score cancer patients had shorter mean survival time than their low-risk score counterparts. Then we validated the loneliness-associated gene signature in three independent brain cancer cohorts with Kaplan-Meier survival curves (n=77, 85 and 191), significantly separable by log-rank test with hazard ratios (HR) >1 and p-values <0.0001 (HR=2.94, 3.82, and 1.78). Moreover, we validated the loneliness-associated gene signature in bone cancer (HR=5.10, p-value=4.69e-3), lung cancer (HR=2.86, p-value=4.71e-5), ovarian cancer (HR=1.97, p-value=3.11e-5), and leukemia (HR=2.06, p-value=1.79e-4) cohorts. The last lymphoma cohort proved to have an HR=3.50, p-value=1.15e-7. Loneliness-associated genes had good survival prediction for cancer patients, especially bone cancer patients. Our study provided the first indication that expression of loneliness-associated genes are related to survival time of cancer patients.