• BMB Reports
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• v.46 no.6
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• pp.310-315
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• 2013

The gene order on the X chromosome of eutherians is generally highly conserved, although an increase in the rate of rearrangement has been reported in the rodent lineage. Conservation of the X chromosome is thought to be caused by selection related to maintenance of dosage compensation. However, we herein reveal that the cattle (Btau4.0) lineage has experienced a strong increase in the rate of X-chromosome rearrangement, much stronger than that previously reported for rodents. We also show that this increase is not matched by a similar increase on the autosomes and cannot be explained by assembly errors. Furthermore, we compared the difference in two cattle genome assemblies: Btau4.0 and Btau6.0 (Bos taurus UMD3.1). The results showed a discrepancy between Btau4.0 and Btau6.0 cattle assembly version data, and we believe that Btau6.0 cattle assembly version data are not more reliable than Btau4.0.

• Current Research on Agriculture and Life Sciences
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• v.11
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• pp.81-89
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• 1993

In order to isolate a mutant which was constitutively expressed in xylA gene, Pxyl-cat-xylA fusion gene was constructed by the insertion of cat gene between xylA promoter and xylA structural gene in pEX13 contained xylA gene. The expression of cat and xylA gene from transformants of xylA mutant DH77 with plasmid pEXC131 containing Pxyl-cat-xylA fusion gene was induced by the addition of 0.4% xylose to media. This results indicated that cat and xylA gene were expressed under control of xylA promoter the presence of xylR gene. We have also isolated constitutive mutant plasmid pEXC131-39 from pEXC131 by trementment with N-methyl-N'-nitro-N-nitrosoguanidine(NTG). cat and xylA gene from pEXC131-39 were constitutively expressed without induction of xylose regardless of xylR gene. Transformants of xylR mutant DH60 with pEXC131-39 also expressed chloramphenicol resistances and xylose isomerase without induction of xylose. This result shows that mutation in region of xylA promoter might make it possible to be constitutively expressed.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.9-20
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• 2007

Groups of genes control the functioning of a cell by complex interactions. Such interactions of gene groups are tailed Gene Regulatory Networks(GRNs). Two previous data mining approaches, clustering and classification, have been used to analyze gene expression data. Though these mining tools are useful for determining membership of genes by homology, they don't identify the regulatory relationships among genes found in the same class of molecular actions. Furthermore, we need to understand the mechanism of how genes relate and how they regulate one another. In order to detect regulatory relationships among genes from time-series Microarray data, we propose a novel approach using frequent pattern mining and chain rules. In this approach, we propose a method for transforming gene expression data to make suitable for frequent pattern mining, and gene expression patterns we detected by applying the FP-growth algorithm. Next, we construct a gene regulatory network from frequent gene patterns using chain rules. Finally, we validate our proposed method through our experimental results, which are consistent with published results.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.8
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• pp.372-377
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• 2008

Multiclass cancer classification has been actively investigated based on gene expression profiles, where it determines the type of cancer by analyzing the large amount of gene expression data collected by the DNA microarray technology. Since gene expression data include many genes not related to a target cancer, it is required to select informative genes in order to obtain highly accurate classification. Conventional rank-based gene selection methods often use ideal marker genes basically devised for binary classification, so it is difficult to directly apply them to multiclass classification. In this paper, we propose a novel method for multiclass gene selection, which does not use ideal marker genes but directly analyzes the distribution of gene expression. It measures the class-discriminability by discretizing gene expression levels into several regions and analyzing the frequency of training samples for each region, and then classifies samples by using the naive Bayes classifier. We have demonstrated the usefulness of the proposed method for various representative benchmark datasets of multiclass cancer classification.

• The KIPS Transactions:PartA
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• v.16A no.3
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• pp.143-152
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• 2009

One of the main issues in comparative genomics is to study chromosomal gene order in one or more related species. For this purpose, the whole genome alignment is usually applied to find the horizontal gene transfer, gene duplication, and gene loss between two related genomes. Also it is well known that the novel visualization tool with whole genome alignment is greatly useful for us to understand genome organization and evolution process. There are a lot of algorithms and visualization tools already proposed to find the "gene clusters" on genome alignments. But due to the huge size of whole genome, the previous visualization tools are not convenient to discover the relationship between two genomes. In this paper, we propose AlignScope, a novel visualization system for whole genome alignment, especially useful to find gene clusters between two aligned genomes. This AlignScope not only provides the simplified structure of genome alignment at any simplified level, but also helps us to find gene clusters. In experiment, we show the performance of AlignScope with several microbial genomes such as B. subtilis, B.halodurans, E. coli K12, and M. tuberculosis H37Rv, which have more than 5000 alignment pairs (matched DNA subsequence).

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.109-109
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• 2017

The core components of ABA-dependent gene expression signaling have been identified in Arabidopsis and rice. This signaling pathway consists of four major components; group A OsbZIPs, SAPKs, subclass A OsPP2Cs and OsPYL/RCARs in rice. These might be able to make thousands of combinations through interaction networks resulting in diverse signaling responses. We tried to characterize those gene functions using transient gene expression for rice protoplasts (TGERP) because it is instantaneous and convenient system. Firstly, in order to monitor the ABA signaling output, we developed reporter system named pRab16A-fLUC which consists of Rab16A promoter of rice and luciferase gene. It responses more rapidly and sensitively to ABA than pABRC3-fLUC that consists of ABRC3 of HVA1 promoter in TGERP. We screened the reporter responses for over-expression of each signaling components from group A OsbZIPs to OsPYL/RCARs with or without ABA in TGERP. OsbZIP46 induced reporter most strongly among OsbZIPs tested in the presence of ABA. SAPKs could activate the OsbZIP46 even in the ABA independence. Subclass A OsPP2C6 and -8 almost completely inhibited the OsbZIP46 activity in the different degree through the SAPK9. Lastly, OsPYL/RCAR2 and -5 rescued the OsbZIP46 activity in the presence of SAPK9 and OsPP2C6 dependent on ABA concentration and expression level. By using TGERP, we could characterize successfully the effects of ABA dependent gene expression signaling components in rice. In conclusion, TGERP represents very useful technology to study systemic functional genomics in rice or other monocots.

• Environmental Mutagens and Carcinogens
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• v.24 no.4
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• pp.171-179
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• 2004

Cytochrome P4503A4(CYP3A4) is the most abundnat CYPs in human liver, comparising approximately 30% of the total liver CYPs contents ans is involbed in the metabolism of more than 60% of currently used therapeutic drugs. The expression of CYP3A4 is induced by a variety of structurally unrelated xonobiotics including the antibiotic rifampicin and endogenous hormones, and might be mediated through steroid and xenobiotic receptor(SXR) system. The molecular mechanisms underlying regulation of CYP3A4 gene expression hae not been understood. In order to gain the insight of the molecular mechanism of CYP3A4 gene expression, study has been undertaken to investigate if the histone deacelylation is involved in the regulation of CYP3A4 gene expression by proximal promoter or not. Also SXR was investigated to see if they were involved in the regulation of CYP3A4 proximal promoter activity. HepG2 or Hena-I cells were transfected with a plasmid containing~1kb of the CYP3A4 proximal promoter region (-863 to +64bp) cloned in front of a reporter gene, luciferase, in the presence or absence of SXR or hER. Transfected cells were treated with CYP3A4 inducers such as rifampicin, PCN and RU 486, or with estradiol, in order to exmine to regulation of CYP3A4 gene expression in the presence or absence of trichostatin A (TSA). In HepG2 cells, CYP3A4 inducers and estradiol increased significantly the luciferase activity by CYP3A4 proximal promoter, only when TSA was co-treated after SXR cotransfection. In the case of Hepa-I cells CYP3A4 inducers and estradiol incressed modestly the luciferase activity when TSA was co-treated, but this increment was not enhanced by SXR cotransfection in contrast to HepG2 cells. Taken together, these results indicated that the inhibition of histone deacetylation was required to SXR-mediated increase in CYP3A4 proximal promoter region when rifampicin, or PCN was treated. Futher a trans-activation by SXR may demand other species-specific transcription factors.

• Environmental Mutagens and Carcinogens
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• v.21 no.1
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• pp.9-13
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• 2001

Essential hypertension is considered to be a multifactorial disease that is influenced not only by environmental factors but also by genetic factors. Genes involved in lipoprotein synthesis, modification and metabolism are candidates for essential hypertension. The purpose of this study was to estimate gene frequencies of paraoxonase/arylesterase (PON1) gene in Korean population and investigate the relationship between genotypes of this gene and essential hypertension or cardiovascular risk factors. In order to estimate the genotype frequencies, Alw I RFLP of PON1 gene was used as genetic marker. There were no significant differences in allele and genotype frequencies between normotensives and essential hypertensives, respectively. However, Alw I RELP of PON1 gene were significantly associated with plasma HDL-cholesterol level in Korean population (one-way ANOVA test, p=0.008). Therefore, our result suggest that this RFLP of PON1 gene may be protective marker on cardiovascular disease in Korean population.

• The Journal of Internal Korean Medicine
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• v.39 no.1
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• pp.1-8
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• 2018

Objectives: This study seeks to investigate the effects of Gamidohongsamul-tang (GDT) on the Gene expression levels of eNOS, KLF2, ICAM-1 and VCAM-1 in HUVEC cells. Methods: HUVEC cells were treated at a concentration of 1, 10, 100 (${\mu}g/ml$) of Gamidohongsamul-tang (GDT). To measure the NOS, KLF2, ICAM-1 and VCAM-1 gene expression in HUVEC cells, the synthesized cDNA was subjected to polymerase chain reaction (PCR) and electrophoresis was performed to verify gene expression level. Results: 1. GDT significantly increased eNOS and KLF2 gene expression. 2. GDT significantly reduced ICAM-1 and VCAM-1 gene expression. Conclusions: These experiments suggest that Gamidohongsamul-tang (GDT) regulates gene expression related with anti-dyslipidemic effects in HUVEC cells. In order to clinically apply this to diseases related to dyslipidemia, such as cardiovascular disease, additional in vivo experiments are needed to verify the anti-dyslipidemic effects of GDT.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.57 no.1
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• pp.71-77
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• 2012

The objective of this study is to develop the gene based sequence tagged site (STS) markers in wheat. The euchromatin enriched genomic library was constructed and the STS primer sets were designed using gene based DNA sequence. The euchromatin enriched genomic (EEG) DNA library in wheat was constructed using the $Mcr$A and $Mcr$BC system in $DH5{\alpha}$ cell. The 2,166 EEG colonies have been constructed by methylated DNA exclusion. Among the colonies, 606 colonies with the size between 400 and 1200 bp of PCR products were selected for sequencing. In order to develop the gene based STS primers, blast analysis comparing between wheat genetic information and rice genome sequence was employed. The 227 STS primers mainly matched on $Triticum$ $aestivum$ (hexaploid), $Triticum$ $turgidum$ (tetraploid), $Aegilops$ (diploid), and other plants. The polymorphisms were detected in PCR products after digestion with restriction enzymes. The eight STS markers that showed 32 polymorphisms in twelve wheat genotypes were developed using 227 STS primers. The STS primers analysis will be useful for generation of informative molecular markers in wheat. Development of gene based STS marker is to identify the genetic function through cloning of target gene and find the new allele of target trait.