• 한국독성학회:학술대회논문집
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• 한국독성학회 2000년도 국제심포지움 및 추계학술대회
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• pp.31-41
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• 2000

The major issue in the post genome sequencing era is determination of gene expression patterns in variety of biological systems. A microarray system is a powerful technology for analyzing the expression profile of thousands of genes at one experiment. In this study, we constructed cDNA microarray which carries 2,304 cDNAS derived from oligo-capped mouse cDNA library. Using this hand-made microarray we determined gene expression in various biological systems. To determine tissue specific genes, we compared Nine genes were highly-expressed in adult mouse brain compared to kidney, liver, and skeletal muscle. Tissue distribution analysis using DNA microarray extracted 9 genes that were predominantly expressed in the brain. A database search showed that five of the 9 genes, MBP, SC1, HiAT3, S100 protein-beta, and SNAP25, were previously known to be expressed at high level in the brain and in the nervous system. One gene was highly sequence similar to rat S-Rex-s/human NSP-C, suggesting that the gene is a mouse homologue. The remaining three genes did not match to known genes in the GenBank/EMBL database, indicating that these are novel genes highly-expressed in the brain. Our DNA microarray was also used to detect differentiation specific genes, hormone dependent genes, and transcription-factor-induced genes. We conclude that DNA microarray is an excellent tool for identifying differentially expressed genes.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 추계학술대회 논문집 Vol.16
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• pp.224-226
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• 2003

In this paper, we succeeded SNP discrimination of DNA hybridization on microarray using new electrochemical system. Using the electrochemical method with a label-free DNA has Performed DNA chip microarray. This method is based on redox of an electrochemical ligand. We developed scanning system with high performance.

• 미생물학회지
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• 제39권3호
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• pp.141-147
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• 2003

여러 항진균 활성 관련 유전자들의 발현 수준을 동시에 연구하기 위하여 DNA microarray를 이용하여 유전자들의 발현 패턴을 비교 분석하였다. 본 연구에서는 항진균활성을 가지는Bacillus lentimorbus WJ5의 genomic DNA를 무작위 하게 제한효소로 절단하여 2,000개의 DNA단편을 microarray하였으며, 감마선($^{60}Co$)조사로 유도된 7종의 항진균 활성 결핍 돌연변이체와 발현양상을 정량적으로 비교하였다. Gene Cluster (Michael Risen, Stanford Uniy.)를 이용한 DNA microarray의 분석 결과, 총 408개의 DNA 단편이 발현되는 것을 확인할 수 있었으며, 이들 중 20개의 DNA단편이 항진균 활성 결핍 돌연변이체에서 발현이 억제되는 것으로 나타났다. 특히,pbuX (xanthine permease, K222), ywbA (phosphotransferase system enzyme II, K393), ptsG (PTS glucose specific enzyme II ABC component, K877), yufO (ABC transporter(ATP-binding protein), K1301), 그리고 ftsY (signal recognition particle (docking protein), K868)는 모든 돌연변이체에서 동시에 발현되는 down-regulation된 유전자들로서 물질 이동과 관련된 것으로 보고되어 있으며, 항진균 활성 관련 신호 및 물질의 이동에 관여할 것으로 사료되어진다.

• Genomics & Informatics
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• 제5권2호
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• pp.83-87
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• 2007

The analysis of DNA microarray data is a rapidly evolving area of bioinformatics, and various types of microarray are emerging as some of the most exciting technologies for use in biological and clinical research. In recent years, microarray technology has been utilized in various applications such as the profiling of mRNAs, assessment of DNA copy number, genotyping, and detection of methylated sequences. However, the analysis of these heterogeneous microarray platform experiments does not need to be performed separately. Rather, these platforms can be co-analyzed in combination, for cross-validation. There are a number of separate laboratory information management systems (LIMS) that individually address some of the needs for each platform. However, to our knowledge there are no unified LIMS systems capable of organizing all of the information regarding multi-platform microarray experiments, while additionally integrating this information with tools to perform the analysis. In order to address these requirements, we developed a web-based LIMS system that provides an integrated framework for storing and analyzing microarray information generated by the various platforms. This system enables an easy integration of modules that transform, analyze and/or visualize multi-platform microarray data.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.53-62
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• 2006

DNA microarray data analysis is a new technology to investigate the expression levels of thousands of genes simultaneously. Since DNA microarray data structures are various and complicative, the data are generally stored in databases for approaching to and controlling the data effectively. But we have some difficulties to analyze and control the data when the data are stored in the several database management systems or that the data are stored to the file format. The existing analysis tools for DNA microarray data have many difficult problems by complicated instructions, and dependency on data types and operating system. In this paper, we design and implement network-based analysis tool for obtaining to useful information from DNA microarray data. When we use this tool, we can analyze effectively DNA microarray data without special knowledge and education for data types and analytical methods.

• Genomics & Informatics
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• 제3권1호
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• pp.39-42
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• 2005

DNA microarray is a high-throughput biomedical technology that monitors gene expression for thousands of genes in parallel. The abundance and complexity of the gene expression data have given rise to a requirement for their systematic management and analysis to support many laboratories performing microarray research. On these demands, we developed Xperanto for integrated data management and analysis using user-friendly web-based interface. Xperanto provides an integrated environment for management and analysis by linking the computational tools and rich sources of biological annotation. With the growing needs of data sharing, it is designed to be compliant to MGED (Microarray Gene Expression Data) standards for microarray data annotation and exchange. Xperanto enables a fast and efficient management of vast amounts of data, and serves as a communication channel among multiple researchers within an emerging interdisciplinary field.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1161-1167
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• 2006

Since microarray data structures are various and complicative, the data are generally stored in databases for approaching to and controlling the data effectively. But we have some difficulties to analyze and control the data when the data are stored in the several database management systems. The existing analysis tools for DNA microarray data have many difficult problems by complicated instructions, and dependency on data types and operating system, and high cost, etc. In this paper, we design and implement the web-based analysis tool for obtaining to useful information from DNA microarray data. When we use this tool, we can analyze effectively DNA microarray data without special knowledge and education for data types and analytical methods.

• 미생물학회지
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• 제41권2호
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• pp.105-111
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• 2005

다양한 균주들을 대상으로 무작위로 신물질을 스크리닝하는 방법은 많은 노력과 시간이 소요되는 방법이며, 신물질을 발견하는 비율도 계속 낮아지고 있다. 따라서 기존 균주들을 대상으로 microarray 기술을 이용한 target-directed screening기술의 개발은, 학문적 뿐만 아니라 산업적으로도 중요한 의미를 가진다. 본 연구에서는, 이미 분리된 방선균각각의 유전체를 대상으로 microarray 분석을 통해, 새로운 생리활성 물질 생산균주 및 생합성 유전자를 확보할 수 있는 기법을 개발하기 위한 기초실험을 수행하였다. 즉, 기존에 알려진 생리활성물질 생합성 유전자들을 확보하여 DNA chip을 제조하였으며, 유전체 염기서열이 밝혀진 S. coelicolor 균주를 대상으로 그 효율성을 검증하였다. 전체적으로 유전자 상동성이 높을수록 반응감도도 높은 편이었으나, 이러한 상환관계가 일치하지 않는 유전자들도 있었다. 이와 같은 문제는, probe 유전자의 G+C 비율$(\%)$을 서로 비슷하게 구성하거나, 반응조건을 최적화 시킨다면 DNA chip의 효율성을 더욱 높일 수 있을 것으로 판단된다. DNA microarray를 통한 생리활성물질 발굴 연구는 세계적으로도 보고된 바 없는 새로운 접근방법으로서, 본 연구에서 시도하고 있는 방법은 발굴 target과 대상을 지정하고 시도되기 때물에, 효율면에서 무작위 스크리닝과는 비교되지 않을 정도로 높을것으로 예상된다. 또한 본 연구와 같은 접근방법을 최적화 시킨다면, 방선균뿐만 아니라 다른 미생물부터 생리활성물질 및 생합성유전자 스크리닝에도 효과적으로 응용할 수 있을 것이다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2006년도 Principles and Practice of Microarray for Biomedical Researchers
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• pp.71-76
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• 2006

Comparative genomic hybridization (CGH) is a technique for studying chromosomal changes in cancer. As cancerous cells multiply, they can undergo dramatic chromosomal changes, including chromosome loss, duplication, and the translocation of DNA from one chromosome to another. Chromosome aberrations have previously been detected using optical imaging of whole chromosomes, a technique with limited sensitivity, resolution, quantification, and throughput. Efforts in recent years to use microarrays to overcome these limitations have been hampered by inadequate sensitivity, specificity and flexibility of the microarray systems. The oligonucleotide CGH microarray system overcomes several scientific hurdles that have impeded comparative genomic studies of cancer. This new system can reliably detect single copy deletions in chromosomes. The system includes a whole human genome microarray, reagents for sample preparation, an optimized microarray processing protocol, and software for data analysis and visualization. In this study, we determined the sensitivity, accuracy and reproducibility of the new system. Using this assay, we find that the performance of the complete system was maintained over a range of input genomic DNA from 5 ug down to 0.15 ug.

• KSBB Journal
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• 제20권3호
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• pp.220-227
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• 2005

독소루비신 생합성 유전자의 발현을 촉진시키는 유전자인 dnrI와 다나루비신으로부터 독소루비신으로의 생전환에 관여하는 유전자인 doxA를 ermE 프로모터가 포함된 pSE34에 도입하였을 때 각각 5.5배, 2.5배의 독소루비신 생산성 증가가 이루어졌다. 독소루비신 생합성 유전자군의 발현패턴 분석을 위한 DNA microarray system을 구축하였고, 고생산 균주의 독소루비신 생합성 유전자 발현 패턴을 DNA microarray를 통해 확인하였다. 독소루비신 생합성 유전자군의 세포성장에 따른 발현패턴을 분석한 결과, 독소루비신 생산성 증가에 따라 생합성 유전자의 발현도 증가함을 확인할 수 있었고, pSE34를 통해 도입해준 donA, dnrI 유전자의 경우 전체 생합성 유전자의 평균보다 높은 수준의 발현량을 보여줌으로써, ermE 프로모터에 의해 발현이 극대화되었음을 확인할 수 있었다. 독소루비신 내성 유전자의 경우 다른 독소루비신 생합성 유전자들에 비해 발현정도가 크게 증가했고, DnrI 의해 조절을 받는 다른 유전자들의 발현 수준과 비교하였을 때 TDP-daunosamine을 생합성의 첫 번째 단계에 관여하는 dnmL 유전자는 그 발현양의 증가가 크지 않았다. 따라서 DNA microarray 시스템 분석 결과, 독소루비신 생산성 극대화를 위해서는 dnrI, doxA, drrA, drrB, drrC, dnmL 등의 유전자들의 안정적 발현이 매우 중요하고도 핵심적인 인자임이 확인되었다.