• Proceedings of the Korean Society for Bioinformatics Conference
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• 2001.10a
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• pp.87-96
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• 2001

삼성종합기술원에서는 인간의 genomic DNA의 이상을 발견하여 이와 연관된 질병을 진단하는 DNA chip을 개발하고 있다. 이를 위하여 특정한 염기서열의 변화에 따라 민감하게 hybridization strength가 변화하는 oligomer를 선택해야 한다. 따라서, specificity가 가장 큰 probe를 골라내야 한다. 여기에는 열역학적인 고려와 여러가지 물리화학적인 approximation이 사용되며, DNA chip 생산 공정에 의존하는 요소도 포함되어 있다 모든 생산용 data와 결과의 분석은 database를 기반으로 이루어지며, 자동화된 통계적 분석법과 최적화 방법이 함께 사용된다.

• Molecules and Cells
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• v.44 no.2
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• pp.101-115
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• 2021

The INO80 chromatin remodeling complex has roles in many essential cellular processes, including DNA replication. However, the mechanisms that regulate INO80 in these processes remain largely unknown. We previously reported that the stability of Ino80, the catalytic ATPase subunit of INO80, is regulated by the ubiquitin proteasome system and that BRCA1-associated protein-1 (BAP1), a nuclear deubiquitinase with tumor suppressor activity, stabilizes Ino80 via deubiquitination and promotes replication fork progression. However, the E3 ubiquitin ligase that targets Ino80 for proteasomal degradation was unknown. Here, we identified the C-terminus of Hsp70-interacting protein (CHIP), the E3 ubiquitin ligase that functions in cooperation with Hsp70, as an Ino80-interacting protein. CHIP polyubiquitinates Ino80 in a manner dependent on Hsp70. Contrary to our expectation that CHIP degrades Ino80, CHIP instead stabilizes Ino80 by extending its half-life. The data suggest that CHIP stabilizes Ino80 by inhibiting degradative ubiquitination. We also show that CHIP works together with BAP1 to enhance the stabilization of Ino80, leading to its chromatin binding. Interestingly, both depletion and overexpression of CHIP compromise replication fork progression with little effect on fork stalling, as similarly observed for BAP1 and Ino80, indicating that an optimal cellular level of Ino80 is important for replication fork speed but not for replication stress suppression. This work therefore idenitifes CHIP as an E3 ubiquitin ligase that stabilizes Ino80 via nondegradative ubiquitination and suggests that CHIP and BAP1 act in concert to regulate Ino80 ubiquitination to fine-tune its stability for efficient DNA replication.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.59-60
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• 2000

The past few years have seen a dramatic increase in gene expression data on the basis of DNA microarrays or DNA chips. Going beyond a generic view on the genome, microarray data are able to distinguish between gene populations in different tissues of the same organism and in different states of cells belonging to the same tissue. This affords a cell-wide view of the metabolic and regulatory processes under different conditions, building an effective basis for new diagnoses and therapies of diseases. In this talk we present machine learning techniques for effective mining of DNA microarray data. A brief introduction to the research field of machine learning from the computer science and artificial intelligence point of view is followed by a review of recently-developed learning algorithms applied to the analysis of DNA chip gene expression data. Emphasis is put on graphical models, such as Bayesian networks, latent variable models, and generative topographic mapping. Finally, we report on our own results of applying these learning methods to two important problems: the identification of cell cycle-regulated genes and the discovery of cancer classes by gene expression monitoring. The data sets are provided by the competition CAMDA-2000, the Critical Assessment of Techniques for Microarray Data Mining.

• Korean Journal of Biological Psychiatry
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• v.8 no.2
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• pp.203-207
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• 2001

The genome sequencing project has generated and will continue to generate enormous amounts of sequence data including 5 eukaryotic and about 60 prokaryotic genomes. Given this ever-increasing amounts of sequence information, new strategies are necessary to efficiently pursue the next phase of the genome project-the elucidation of gene expression patterns and gene product function on a whole genome scale. In order to assign functional information to the genome sequence, DNA chip(or gene microarray) technology was developed to efficiently identify the differential expression pattern of independent biological samples. DNA chip provides a new tool for genome expression analysis that may revolutionize many aspects of biotechnology including new drug discovery and disease diagnostics.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.757-759
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• 2004

유전자 발현은 유전자가 mRNA와 생체의 기능을 일으키게 하는 단백질을 만들어내는 과정이다. 유전자 발현에 대한 정보는 유전자의 기능을 밝히고 유전자간의 상관 관계를 알아내는데 중요한 역할을 한다. 이러한 유전자 발현 연구를 위한 정보를 대량으로 신속하게 얻을 수 있는 도구가 DNA Chip이다. DNA Chip으로 얻은 수백-수천 개의 데이터는 그 데이터만으로는 의미를 갖지 못한다. 따라서 유전자 발현 정도에 따라 수치적으로 획득된 데이터에서 의미적인 특성을 찾아내기 위해서는 클러스터링 방법이 필요하다. 본 논문에서는 수많은 유전자 데이터 중에서 주요 정보를 포함한 것으로 판단되는 유전자 데이터를 선택하여 특징간을 계산하고 신경망 학습을 이용한 클러스터링하는 알고리즘에 대해서 기술한다.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.41-44
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• 2000

With the advent of DNA microarray and "chip" technologies, gene expression in an organism can be monitored on a genomic scale, allowing the transcription levels of many genes to be measured simultaneously. Functional interpretation of massive expression data and linking such data to DNA sequences have become the new challenges to bioinformatics. I will us yeast cell cycle expression data analysis as an example to demonstrate how special database and computational methods may be used for extracting functional information, I will also briefly describe a novel clustering algorithm which has been applied to the cell cycle data.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.149-152
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• 2007

본 논문은 바이오 인포메틱스의 분야를 간단히 소개하고 기능유전체학에서 microarray 실험에 대한 통계적 방법론을 살펴보고자 한다. 또한 DNA chip 설계와 생물학적 특정에 대해 살펴보고 각 분야에서 적용되는 통계적 방법을 연구분석 해보고자 한다.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2003.10a
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• pp.173-173
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• 2003

With the introduction of DNA microarrays, a high throughput analysis of gene expression is now possible as a replacement to the traditional time-consuming Southern-blot analysis. This cDNA microarray should be ahighly favored technology in the area of molecular toxicology or analysis of environmental stresses.In this study, therefore, we developed a novel cDNA microarray for analyzing stress-specific responses in japanese Medaka fish. In the design and fabrication of this stress specific functional cDNA microarray, 123 different genes in Medaka fish were selected from eighteen different stress responsive groups and spotted on a 25${\times}$75 mm glass surface. After exposure of the fish to bisphenol A which is the one of the well-known endocrine disrupting chemicals (EDCs), over 1 or 10 days, the responses of the DNA chip were found to show distinct expression patterns according to the mode of toxic actions from environmental toxicants. As a results, they showed specific gene expression pattern to bisphenol A, additionally, the chemical spesific biomarkers could be suggested based on the chip analysis data. Therefore, this chip can be used to monitor stress responses of unknown and/or known toxic chemicals using Medaka fish and may be used for the further development of biomarkers by utilizing the gene expression patterns for known contaminants.

• Journal of Life Science
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• v.18 no.12
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• pp.1657-1664
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• 2008

We determined the prevalence of human papillomavirus (HPV) by DNA chip test in 549 women and cytologic diagnosis. 237 of 549 women (43.17%) subjected with HPV DNA Chip examination were found positive for HPV. 210 (88.60%, High group) were infected with high-risk HPV types. 17 (7.17%, Low group) were infected with low-risk HPV types (6, 11, 40, 44, 70) and 17 (7.17%, Mixed group) were infected with mixed types. According to age, in their twenties, thirties, forties, fifties and over sixties, the prevalence of infection with high-risk HPV types were 1.26% (3/237), 15.61% (37/237), 31.65% (75/237), 23.21% (55/237), and 13.92% (33/237), respectively. In the Low and Mixed group, percentages of infection with HPV were significantly lower than that of the High group. On the comparison of cytologic diagnosis (224 women) by Pap smear and DNA chip positive (237 women) for HPV, 132 out of 194 cases in the High group (68.04%) suffered cervical lesions with ASCUS (atypical squamous cells of undetermined significance, 7.22%), LSIL (low grade squamous intraepithelial lesion, 15.98%), HSIL (high grade SIL, 23.20%) and ICC (invasive cervical cancer, 21.65%). The Low group (14/224 women) showed 1 case of ASCUS and 6 cases of LSIL, whereas the Mixed group (4/224 women) had only 2 cases of ASCUS. According to the HPV subtypes, the high-risk types 16 and 18 induced 26 and 7 cases of ICC, respectively, whereas other HPV subtypes induced lower or no ICC incidence. In conclusion, the present data imply that the prevalence of HPV was 43.17%, high-risk HPV type 16 is a major factor, which causes precancerous and/or cervical cancer in woman and that HPV DNA chip is an accurate and useful tool for detecting HPV.

• Electronics and Telecommunications Trends
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• v.35 no.1
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• pp.25-33
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• 2020

Just as it is possible to distinguish people by using physical features, such as fingerprints, irises, veins, and faces, and behavioral features, such as voice, gait, keyboard input pattern, and signatures, the an IoT device includes various features that cannot be replicated. For example, there are differences in the physical structure of the chip, differences in computation time of the devices or circuits, differences in residual data when the SDRAM is turned on and off, and minute differences in sensor sensing results. Because of these differences, Sensor data can be collected and analyzed, based on these differences, to identify features that can classify the sensors and define them as sensor-based device DNA technology. As Similar to the biometrics, such as human fingerprints and irises, can be authenticatedused for authentication, sensor-based device DNA can be used to authenticate sensors and generate cryptographic keys that can be used for security.