• Journal of Microbiology and Biotechnology
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• v.25 no.8
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• pp.1380-1389
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• 2015

Prx1, an AhpF-dependent 2-Cys peroxiredoxin (Prx), was previously identified in Vibrio vulnificus, a facultative aerobic pathogen. In the present study, transcription of the V. vulnificus prx1ahpF genes, which are adjacently located on the chromosome, was evaluated by analyzing the promoter and intergenic region of the two genes. Northern blot analyses revealed that transcription of prx1ahpF results in two transcripts, the prx1 and prx1ahpF transcripts. Primer extension analysis and a point mutational analysis of the promoter region showed that the two transcripts are generated from a single promoter. In addition, the 3' end of the prx1 transcript at the prx1ahpF intergenic region was determined by a 3'RACE assay. These results suggested that the prx1ahpF genes are transcribed as an operon, and the prx1 transcript was produced by transcriptional termination in the intergenic region. RNA secondary structure prediction of the prx1ahpF intergenic region singled out a stem-loop structure without poly(U) tract, and a deletion analysis of the intergenic region showed that the atypical stem-loop structure acts as the transcriptional attenuator to result in the prx1 and prx1ahpF transcripts. The combined results demonstrate that the differential expression of prx1 and ahpF is accomplished by the cis-acting transcriptional attenuator located between the two genes and thereby leads to the production of a high level of Prx1 and a low level of AhpF.

• Journal of Plant Biotechnology
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• v.30 no.4
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• pp.323-328
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• 2003

Soil salinity is one of the most serious abiotic stresses limiting the productivity of agricultural crops. To cope with salt stress, plants respond with physiological, developmental and biochemical changes, including the synthesis of a number of proteins and the induction of gene expression. Salicornia herbacea is a halophytic plant that grows in salt marshes and on muddy seashores. In order to understand the biochemical and molecular mechanisms of salt tolerance in S. herbacea, we isolated several genes that involved in the salt tolerance by mRNA differential display. Here we report the cloning of a cDNA encoding fructose-1, 6-bisphosphate aldolase, named ShADL, which is 1293 bp long and contains an open reading frame consisted of 359 amino acids with calculated molecular mass of 39 kDa. ShADL protein showed 86％ identity with Arabidopsis and 78％ with aldolase of common ice plant. Northern blot analysis revealed that the transcript of ShADL gene was increased dramatically depending on the NaCl concentrations.

• Journal of Life Science
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• v.18 no.6
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• pp.814-825
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• 2008

Ascochlorin (ASC) is prenyl-phenol compound that was isolated from the fungus Ascochyta viciae. ASC reduces serum cholesterol and triglyceride levels, and suppresses hypertension, tumor development, ameliorates type I and II diabetes. Here, to better understand the mechanisms by which ASC regulates physiological or pathological events and induces responses in the pharmacological treatment of inflammation, we performed differential analysis of the proteome of the mouse macrophage RAW264.7 cells in response to ASC. In this study, we used a proteomic analysis of LPS-induced RAW264.7 cells treated by ASC, to identify proteins potentially involved in inflammatory processes. The RAW264.7 cell proteomes with and without treatment with ASC were compared using two-dimensional electrophoresis (2-D SDS-PAGE), matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF-MS) and bioinformatics. The largest differences in expression were observed for the calreticulin (4-fold decrease), ${\beta}-actin$ (4-fold decrease) and vimentin (1.5-fold decrease). In addition, rabaptin was increased 3-fold in RAW264.7 cells treated with ASC. The expression of some selected proteins was confirmed by RT-PCR analysis.

• Development and Reproduction
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• v.8 no.1
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• pp.57-64
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• 2004

This study was carried out to examine the expression of the circadian clock genes in the mouse ovary and testis at different developmental stages. Expression of Period1(Per 1), Period2(Per2), Period3(Per3), Cryptochrome1(Cry1), Cyptochrome2(Cry2), Clock Small and Prokineticin1 and Prokineticin2 receptor(Prok1r, Prok2r) genes in mouse ovary was explored by semiquantitative reverse transcription Polymerase chain reaction(RT-PCR) according to the developmental stage(post partum day; ppd 1, 7, 10, 21 and 35). Immunohistochemistry using PER1 antibody was also analyzed. The differential expression pattern of clock genes was presented according to stages of the mouse ovarian development (ppd 1, 7, 10, 21 and 35). In the cases of ovaries, at the starting point of follicle growth at ppd 7 and 10, the clock gene expression patterns were changed vastly. According to the developmental stages, the clock genes were highly expressed at ppd 7 and 10 in mouse testis also. Receptors for Prok2, the circadian output molecule of SCN, were also expressed in ovary at ppd 7 and in testis at ppd 1 and 7, respectively. Immnunohistochemical analysis of PER1 showed positive signals in the cytoplasm of oocytes and granulosa cells. The level or PER1 expression was increased in cells at the spermatogonia and the condensing spermatids. The expression pattern of Perl and localization of PER1 were showed similar patterns according to the developmental stages in ovary and testis. Taken together, it could be observed that the expression of clock genes was highly correlated with gonadal development and germ cell differentiation in mice. Therefore, in this study, circadian programming of the genes in the ovary and testis is strongly imposed across a wide range of core reproductive cycles and normal development of gametes. Although the existence of circadian genes is clearly investigated, further studies on the direct evidence is required for the understanding of the relationship between circadian genes and regulation of gonadal differentiation and germ cell development.

• Journal of The Korean Society of Grassland and Forage Science
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• v.34 no.4
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• pp.262-268
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• 2014

In order to reveal the aluminum (Al) stress tolerance mechanisms in alfalfa plant at low pH soil, a proteomic approach has been conducted. Alfalfa plants were exposed to Al stress for 5 days. The plant growth and total chlorophyll content are greatly affected by Al stress. The malondialdehyde (MDA) and $H_2O_2$ contents were increased in a low amount but free proline and soluble sugar contents, and the DPPH-radical scavenging activity were highly increased. These results indicate that antioxidant activity (DPPH activity) and osmoprotectants (proline and sugar) may involve in ROS ($H_2O_2$) homeostasis under Al stress. In proteomic analysis, over 500 protein spots were detected by 2-dimentional gel electrophoresis analysis. Total 17 Al stress-induced proteins were identified, of which 8 protein spots were up-regulated and 9 were down-regulated. The differential expression patterns of protein spots were selected and analyzed by the peptide mass fingerprinting (PMF) using MALDI-TOF MS analysis. Three protein spots corresponding to Rubisco were significantly down-regulated whereas peroxiredoxin and glutamine synthetase were up-regulated in response to Al stress. The different regulation patterns of identified proteins were involved in energy metabolism and antioxidant / ROS detoxification during Al stress in alfalfa. Taken together, these results provide new insight to understand the molecular mechanisms of alfalfa plant in terms of Al stress tolerance.

• Korean journal of applied entomology
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• v.36 no.4
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• pp.331-340
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• 1997

Hyalophora cecropia attacin-like antibacterial gene was isolated from Bombyx mori induced with nonpathogenic bacteria. It was expressed in Spodopfera frugiperda 9 (Sf9 cells using baculovirus expression vector system (BEVS), and examined its antibacterial activity. With a cDNA library constructed from fifthinstar B. mori injected with Escherichia coli(4 X IOhcellsllarva), differential screening was performed using naive and induced mRNA probes. BmInc6 clone was screened by partial nucleotide sequence and GenBank database analysis. A complete nucleotide sequence of Bmlnc6 cDNA was determined (GenBank, AF005384). Its insert size was 852 bp and had open reading frame that started translation at position 35 and stopped at 679. And its putative polyadenylational signal existed at 812 bp. The number of amino acid deduced from Bmlnc6 cDNA was 214 and hydropathy analysis showed that this peptide was hydrophilic. This peptide deduced by BmInc6 was named nuecin. When the nuecin gene was expressed in Sf9 cells using BEVS, about 950 bp of the transcripts was detected. In addition, SDS-PAGE analysis showed that the molecular weights of intracellular expressed protein and the mature protein secreted to culture media were approximately 23 and 20 kDa, respectively. The antibacterial activity of nuecin against E. coli and Bacillus subtilis was significantly high, demonstrating that nuecin had a wider antibacterial spectrum with gram negative and positive bacteria than attacin.

• Journal of Life Science
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• v.29 no.7
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• pp.809-816
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• 2019

The ubiquitous plant metabolite p-coumaric acid (p-CA) has antioxidant and anti-inflammatory properties, but its anti-cancer activity has not been established in gastric cancer cell lines. In this study, we investigated the effects of p-CA on the proliferation and transcriptome profile of SNU16 gastric cancer cells. Treatment with p-CA induced apoptosis of the SNU-16 cells by regulating the expression of pro-apoptotic and anti-apoptotic proteins, such as Bcl-2, poly (ADP-ribose) polymerase (PARP), Bax, procaspase-3, and cleaved-caspase-3. The genes differentially expressed in response to p-CA treatment of the SNU-16 cells were identified by RNA sequencing analysis. Genes regulated by p-CA were involved mainly in the inflammatory response, apoptotic processes, cell cycle, and immune response. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that the phosphatidylinositol-3-kinase-Akt and cancer signaling pathways were altered by p-CA. Protein-protein interaction (PPI) network analysis also revealed that p-CA treatment was correlated with differential expression of genes associated with the inflammatory response and cancer. Collectively, these results suggest that p-CA has potential utility in gastric cancer prevention.

• Journal of Bio-Environment Control
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• v.31 no.4
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• pp.332-342
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• 2022

Kale (Brassica oleracea var. acephala) is one of the most frequently consumed leafy vegetables globally, as it contains numerous nutrients; essential amino acids, phenolics, vitamins, and minerals, and is particularly rich in glucosinolates. However, the differences in the biosynthesis of glucosinolates and related gene expression among kale cultivars has been poorly reported. In this study, we investigated glucosinolates profile and content in three different kale cultivars, including green ('Man-Choo' and 'Mat-Jjang') and red kale ('Red-Curled') cultivars grown in a vertical farm, using transcriptomic and metabolomic analyses. The growth and development of the green kale cultivars were higher than those of the red kale cultivar at 6 weeks after cultivation. High-performance liquid chromatography (HPLC) analysis revealed five glucosinolates in the 'Man-Choo' cultivar, and four glucosinolates in the 'Mat-Jjang' and 'Red-Curled' cultivars. Glucobrassicin was the most predominant glucosinolate followed by gluconastrutiin in all the cultivars. In contrast, other glucosinolates were highly dependent to the genotypes. The highest total glucosinolates was found in the 'Red-Curled' cultivar, which followed by 'Man-Choo' and 'Mat-Jjang'. Based on transcriptome analysis, eight genes were involved in glucosinolate biosynthesis. The overall results suggest that the glucosinolate content and accumulation patterns differ according to the kale cultivar and differential expression of glucosinolate biosynthetic genes.

• Molecules and Cells
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• v.37 no.7
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• pp.547-553
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• 2014

Glioblastoma multiforme (GBM) is one of the most common brain malignancies and has a very poor prognosis. Recent evidence suggests that the presence of cancer stem cells (CSC) in GBM and the rare CSC subpopulation that is resistant to chemotherapy may be responsible for the treatment failure and unfavorable prognosis of GBM. A garlic-derived compound, Z-ajoene, has shown a range of biological activities, including anti-proliferative effects on several cancers. Here, we demonstrated for the first time that Z-ajoene specifically inhibits the growth of the GBM CSC population. CSC sphere-forming inhibition was achieved at a concentration that did not exhibit a cytotoxic effect in regular cell culture conditions. The specificity of this inhibitory effect on the CSC population was confirmed by detecting CSC cell surface marker CD133 expression and biochemical marker ALDH activity. In addition, stem cell-related mRNA profiling and real-time PCR revealed the differential expression of CSC-specific genes, including Notch, Wnt, and Hedgehog, upon treatment with Z-ajoene. A proteomic approach, i.e., reverse-phase protein array (RPPA) and Western blot analysis, showed decreased SMAD4, p-AKT, 14.3.3 and FOXO3A expression. The protein interaction map (http://string-db.org/) of the identified molecules suggested that the AKT, ERK/p38 and $TGF{\beta}$ signaling pathways are key mediators of Z-ajoene's action, which affects the transcriptional network that includes FOXO3A. These biological and bioinformatic analyses collectively demonstrate that Z-ajoene is a potential candidate for the treatment of GBM by specifically targeting GBM CSCs. We also show how this systemic approach strengthens the identification of new therapeutic agents that target CSCs.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.197-207
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• 2010

Using a variety of data-mining methods on high-throughput cDNA microarray data, the level of gene expression in two different tissues can be compared, and DEG(Differentially Expressed Gene) genes in between normal cell and tumor cell can be detected. Diagnosis can be made with these genes, and also treatment strategy can be determined according to the cancer stages. Existing cancer classification methods using machine learning select the marker genes which are differential expressed in normal and tumor samples, and build a classifier using those marker genes. However, in addition to the differences in gene expression levels, the difference in gene-gene correlations between two conditions could be a good marker in disease diagnosis. In this study, we identify gene pairs with a big correlation difference in two sets of samples, build gene classification modules using these gene pairs. This cancer classification method using gene modules achieves higher accuracy than current methods. The implementing clinical kit can be considered since the number of genes in classification module is small. For future study, Authors plan to identify novel cancer-related genes with functionality analysis on the genes in a classification module through GO(Gene Ontology) enrichment validation, and to extend the classification module into gene regulatory networks.