• 한국미생물·생명공학회지
• /
• 제28권1호
• /
• pp.21-25
• /
• 2000

We have got several clones from Serratia marcescens which stimulated the cells to use maltose as a carbon source in Escherichia. coli TP2139 ( lac, crp). One of the cloned genes, pCKB17, was further analyzed. In order to find whether the increased expression of the gent was under the direction of maltose metabolism, we constructed several recombinant subclones. We have found that the clone, pCKB17AV, codes maltose metabolism stimulation(mms) gene. E. coli transformed with the cloned gene showed increase in the activity of maltose utilzation, The recombinant proteins expressed by multicopy and induction with IPTG, one polypeptide of 29-kDa, was confirmed by SDS-PAGE. The overexpression of maltose-binding proter protein in the presence of mms gene was confirmed by Western blot analysis. Southern hybridization analysis confirmed that the cloned DNA fragment was originated from S. marcescens chromosomal DNA.

• Genomics & Informatics
• /
• 제1권1호
• /
• pp.32-39
• /
• 2003

We present a latent variable model-based approach to the analysis of gene expression patterns, coupled with topographic clustering. Aspect model, a latent variable model for dyadic data, is applied to extract latent patterns underlying complex variations of gene expression levels. Then a topographic clustering is performed to find coherent groups of genes, based on the extracted latent patterns as well as individual gene expression behaviors. Applied to cell cycle­regulated genes of the yeast Saccharomyces cerevisiae, the proposed method could discover biologically meaningful patterns related with characteristic expression behavior in particular cell cycle phases. In addition, the display of the variation in the composition of these latent patterns on the cluster map provided more facilitated interpretation of the resulting cluster structure. From this, we argue that latent variable models, coupled with topographic clustering, are a promising tool for explorative analysis of gene expression data.

• Genomics & Informatics
• /
• 제21권3호
• /
• pp.38.1-38.8
• /
• 2023

Non-small cell lung cancer (NSCLC) is an important cause of cancer-associated deaths worldwide. Therefore, the exact molecular mechanisms of NSCLC are unidentified. The present investigation aims to identify the miRNAs with predictive value in NSCLC. The two datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DEmiRNA) and mRNAs (DEmRNA) were selected from the normalized data. Next, miRNA-mRNA interactions were determined. Then, co-expression network analysis was completed using the WGCNA package in R software. The co-expression network between DEmiRNAs and DEmRNAs was calculated to prioritize the miRNAs. Next, the enrichment analysis was performed for DEmiRNA and DEmRNA. Finally, the drug-gene interaction network was constructed by importing the gene list to dgidb database. A total of 3,033 differentially expressed genes and 58 DEmiRNA were recognized from two datasets. The co-expression network analysis was utilized to build a gene co- expression network. Next, four modules were selected based on the Z_summary score. In the next step, a bipartite miRNA-gene network was constructed and hub miRNAs (let-7a-2-3p, let-7d-5p, let-7b-5p, let-7a-5p, and let-7b-3p) were selected. Finally, a drug-gene network was constructed while SUNITINIB, MEDROXYPROGESTERONE ACETATE, DOFETILIDE, HALOPERIDOL, and CALCITRIOL drugs were recognized as a beneficial drug in NSCLC. The hub miRNAs and repurposed drugs may act a vital role in NSCLC progression and treatment, respectively; however, these results must validate in further clinical and experimental assessments.

• Genomics & Informatics
• /
• 제17권4호
• /
• pp.45.1-45.3
• /
• 2019

To identify pathways associated with survival phenotypes using gene expression data, we recently proposed the hierarchical structural component model for pathway analysis of gene expression data (HisCoM-PAGE) method. The HisCoM-PAGE software can consider hierarchical structural relationships between genes and pathways and analyze multiple pathways simultaneously. It can be applied to various types of gene expression data, such as microarray data or RNA sequencing data. We expect that the HisCoM-PAGE software will make our method more easily accessible to researchers who want to perform pathway analysis for survival times.

• Asian Pacific Journal of Cancer Prevention
• /
• 제17권5호
• /
• pp.2519-2525
• /
• 2016

There are several existing reports of microarray chip use for assessment of altered gene expression in different diseases. In fact, there have been over 1.5 million assays of this kind performed over the last twenty years, which have influenced clinical and translational research studies. The most commonly used DNA microarray platforms are Affymetrix GeneChip and Quality Control Software along with their GeneChip Probe Arrays. These chips are created using several quality controls to confirm the success of each assay, but their actual impact on gene expression profiles had not been previously analyzed until the appearance of several bioinformatics tools for this purpose. We here performed a data mining analysis, in this case specifically focused on ovarian cancer, as well as healthy ovarian tissue and ovarian cell lines, in order to confirm quality control results and associated variation in gene expression profiles. The microarray data used in our research were downloaded from ArrayExpress and Gene Expression Omnibus (GEO) and analyzed with Expression Console Software using RMA, MAS5 and Plier algorithms. The gene expression profiles were obtained using Partek Genomics Suite v6.6 and data were visualized using principal component analysis, heat map, and Venn diagrams. Microarray quality control analysis showed that roughly 40% of the microarray files were false negative, demonstrating over- and under-estimation of expressed genes. Additionally, we confirmed the results performing second analysis using independent samples. About 70% of the significant expressed genes were correlated in both analyses. These results demonstrate the importance of appropriate microarray processing to obtain a reliable gene expression profile.

• 한국육종학회지
• /
• 제42권1호
• /
• pp.23-27
• /
• 2010

The objective of this study was to map the gene for reduced embryo size in rice using DNA markers. The reduced embryo size mutant was induced from N-methyl-N-nitrosourea (MNU) treated Taichung 65. Genetic analysis revealed that the phenotype of the reduced embryo was controlled by a single recessive gene, designated as re-1. For mapping the gene controlling embryo size, an $F_2$ population was developed from a cross between the Korean Tongil-type, Milyang 23 (Oryza sativa ssp. indica) and the mutant. The ratio of $F_2$ seeds nearly fitted to 3:1 ratio, indicating that this phenotype was controlled by a single recessive gene. Bulked sergeant analysis was performed with SSR markers. The gene for the reduced embryo size was detected on chromosome 1. The gene was further mapped between two SSR markers, RM315 and RM265 on chromosome 1 (approximately 1.5 Mb interval). The linked markers will facilitate selection of this grain character in a breeding program and provide the foundation for positional cloning of this gene.

• Asian Pacific Journal of Cancer Prevention
• /
• 제13권11호
• /
• pp.5633-5636
• /
• 2012

Purpose: Breast cancer is an important cause of cancer-related death in women. Numerous studies have evaluated the association between the insertion/deletion (I/D) polymorphism in the angiotensin-converting enzyme (ACE) gene and breast cancer risk. However, the specific association is still controversial rather than conclusive. Therefore, we performed a meta-analysis of related studies to address this controversy. Methods: PubMed, EMBASE, Google Scholar and the Chinese National Knowledge Infrastructure databases were systematically searched to identify relevant studies. A meta-analysis was performed to examine the association between the I/D polymorphism in the ACE gene and susceptibility to breast cancer. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Results: 10 separate studies of 7 included articles with 10,888 subjects on the relation between the I/D polymorphism in the ACE gene and breast cancer were analyzed by meta-analysis, and our results showed no association between the I/D polymorphism in the ACE gene and breast cancer in total population and different populations. No publication bias was found in the present study. Conclusions: The ACE I/D polymorphism may not be associated with breast cancer risk. Further large and well-designed studies are needed to confirm this conclusion.

• Animal cells and systems
• /
• 제7권2호
• /
• pp.159-164
• /
• 2003

The RAD3 gene of Saccharomyces cerevisiae is required for excision repair and is essential for cell viability. The RAD3 encoded protein possesses a single stranded DNA-dependent ATPase and DNA and DNA-RNA helicase activities. To examine the extent of conservation of structure and function of a S. pombe RAD3 during eukaryotic evolution, the RAD3 homolog gene was isolated by screening of genomic DNA library. The isolated gene was designated as HRD3 (homolog of RAD3 gene). Southern blot analysis confirmed that S. pombe chromosome contains the same DNA as HRD3 gene and this gene exists as a single copy in S. pombe. The transcript of 2.8 kb was detected by Northern blot analysis, The level of transcripts increased by ultraviolet (UV) irradiation, indicating that HRD3 is one of the UV-inducible genes in S. pombe. Furthermore, the predicted partial sequence of HRD3 protein has 60％ identity to S. cerevisiae RAD3 gene. This homology was particularly striking in the regions identified as being conserved in a group of DNA helicases. Gene deletion experiments indicate that the HRD3 gene is essential for viability and DNA repair function. These observations suggest evolutionary conservation of other protein components with which HRD3 might interact in mediating its DNA repair and viability functions.

• Applied Biological Chemistry
• /
• 제36권3호
• /
• pp.208-214
• /
• 1993

엽록체 DNA 내에서 반복 염기서열의 존재와 이들에 의한 유전자 재배열 현상을 고찰하기 위하여 151bp Repeated Sequence 갖는 이질적인 유전인자군의 존재를 여러가지 품종의 벼 엽록체 DNA에서 관찰 하였다. 또한 쌀 DNA를 벼의 생장과 조직부위에 따라 분리하고, rp12 probe를 이용하여 Southern blot 분석하여 엽록체의 발달에 따르는 엽록체 DNA의 재배열 현상을 관찰하였다. 아울러 유전자 재배열 현상을 유발하는 반복염기서열을 database로부터 검색하여 유전자의 상호 비교 분석하였다. 그 결과 151bp Repeated Sequence와 유사한 염기 서열을 같는 rp123유전자를 포함하는 이질적인 유전인자군은 어느 특정한 품종의 벼에 국한되는것이 아니고 본 실험에 사용된 다양한 품종의 벼에 일반적으로 나타나는 현상임이 확인되었으며 또한 이들의 양상은 벼의 조직 부위에 따라 다르게 나타나고 있음을 확인하였다. 이러한 실험적 결과와 함께 엽록체 유전자 database의 검색과 유전자의 상호비교분석을 통하여 151bp 반복 염기 저열에 의한 벼 엽록체 DNA의 유전자 재배열현상은 식물 특히 단자엽 식물의 진화와 함께 발달된 현상으로 특히 151bp반복 염기 서열은 매우 다양한 유전자 재배열을 유발하는 변이유발 위치로 발달되어 왔음을 확인할 수 있었다. 따라서 이러한 반복염기서열에 의한 유전자 재배열 현상은 특히 벼에 있어서 plastid의 발달에 밀접하게 관여하고 있음을 제시하고 있다.

• 한국균학회지
• /
• 제28권1호
• /
• pp.26-31
• /
• 2000

팽이버섯의 자실체형성 과정에 특이적으로 발현하는 FVFD16과 FVFD30 유전자의 genomic 클론을 단리하여 염기서열을 분석하였다. FVFD16은 Open Reading Frame(ORF)내에 2개의 intron이 관찰되었고, FVFD30 유전자에서는 4개의 intron이 관찰되었다. 또한 intron의 특징적인 염기서열인 GT/AG의 rule과도 일치하고 있음이 밝혀졌다. FVFD16과 FVFD30의 두 유전자 모두에서 진핵생물의 promoter영역에서 자주 관찰되는 CAAT box와 유사한 배열과 TATA box가 존재했다. 또한, 전사개시점의 바로 앞에서 관찰되어지는 CT-rich의 영역이 존재하고 있었으며, 특히 FVFD30에서는 전사개시 시에 중요한 역할을 할 것으로 예상되는 CCACC의 서열이 관찰되었다. 한편 FVFD16 genomic클론의 염기서열 분석결과 cDNA클론과 80%의 상동성을 나타내는 gene family임이 밝혀졌다. 여러 가지 제한효소에 의한 genomic southern blot 분석결과 FVFD16과 FVFD30은 2번 이상의 반복배열 또는 gene family의 존재가 확인되었다.