• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.238-240
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• 2005

단백체는 세포가 처해있는 환경에 따라, 그리고 각 조직 별로 유동적으로 존재하며, 세포의 실제적인 기능을 표현해준다. 이러한 이유로 세포 내에서 일어나는 실제적인 현상들을 전체 단백질 단계에서 통합적으로 파악하고자 하는 단백체학 연구가 활발하게 진행되고 있다. 미지의 단백질의 기능을 밝혀내는 연구는 단백체학의 가장 기본적이면서 중요한 부분이라고 할 수 있다. 본 논문에서는 "단백질 상호작용 네트웍 사전(PIND)"을 구축함으로써 단백질의 기능을 예측하는 새로운 방법론을 소개한다.

• Bulletin of Food Technology
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• v.18 no.1
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• pp.3-15
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• 2005

최근 들어 게놈기능연구는 주요국가의 새로운 국가적 연구표적으로 지정되면서 유전자기반 생물산업의 핵심으로 부각되고 있다. 이러한 발전은인간(2001년 2월 인간 게놈의 초안 발표)을 비롯한 생물체의 게놈구조가 규명되어 이 유전자구조정보를 web상에서 쉽게 알아낼 수 있는데서 비롯된다. 포스트게놈시대의 게놈기능연구를 총괄적으로 '기능유전체학 (Functional Genomics)'이라고하며 여기에는 핵산(DNA나 RNA)을 표적으로 게놈기능을 연구하는 genomics(유전체학, RNA발현을 대상으로 하는 transcriptomics(전사체학) 포함), 총체적인 단백체를 대상으로 유전자기능을 연구하는 proteomics(단백질체학) 및 대사물질을 대상으로 하는 metabolomics(대사체학), 이들 분야를 공통적으로 지원하는 bioinformatics(생물정보학)로 구분된다. 본 고에서는 프로테오믹스 분야를 중심으로 소개하고자 한다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.2
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• pp.179-186
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• 2014

Metabolomics is the study of changes in the metabolic status of an organism as a consequence of drug treatment, environmental influences, nutrition, lifestyle, genetic variations, toxic exposure, disease, stress, etc, through global or comprehensive identification and quantification of every single metabolite in a biological system. Since most chronic diseases have been demonstrated to be linked to nutrition, nutritional metabolomics has great potential for improving our understanding of the relationship between disease and nutritional status, nutrient, or diet intake by exploring the metabolic effects of a specific food challenge in a more global manner, and improving individual health. In particular, metabolite profiling of biofluids, such as blood, urine, or feces, together with multivariate statistical analysis provides an effective strategy for monitoring human metabolic responses to dietary interventions and lifestyle habits. Therefore, studies of nutritional metabolomics have recently been performed to investigate nutrition-related metabolic pathways and biomarkers, along with their interactions with several diseases, based on animal-, individual-, and population-based criteria with the goal of achieving personalized health care in the future. This article introduces analytical technologies and their application to determination of nutritional phenotypes and nutrition-related diseases in nutritional metabolomics.

• Korean Journal of Biological Psychiatry
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• v.8 no.2
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• pp.196-202
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• 2001

The completion of the rough draft of the human genome is a remarkable achievement. It provides the overall structures of huge DNA molecules that constitute the genome and an outline of the information needed to create a human being. This paper reviewed new ideas, projects, and scientific advances made by the Human Genome Project. We also discussed the future of medicine and biomedical research in postgenomic era.

• Journal of Digital Contents Society
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• v.11 no.1
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• pp.99-104
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• 2010

Numerous bio-digital contents have been produced by new technology using biochip and others for analyzing early chemical-induced genes. These contents have little meaning by themselves, and so they should be modified and extracted after consideration of biological meaning. These include genomics, transcriptomics, protenomics, metabolomics, which combined into omics. Omics tools could be applied into toxicology, forming a new field of toxicogenomics. It is possible that approach of toxicogenomics can estimate toxicity more quickly and accurately by analyzing gene/protein/metabolite profiles. These approaches should help not only to discover highly sensitive and predictive biomarkers but also to understand molecular mechanism(s) of toxicity, based on the development of analysing technology. Furthermore, it is important that bio-digital contents should be obtained from specific cells having biological events more than from whole cells. Taken together, many bio-digital contents should be analyzed by careful calculating algorism under well-designed experimental protocols, network analysis using computational algorism and related profound databases.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.553-560
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• 2001

Bioinformatics is a discipline to support biological experiment projects by storing, managing data arising from genome research. In can also lead the experimental design for genome function prediction and regulation. Among various approaches of the genome research, the proteomics have been drawing increasing attention since it deals with the final product of genomes, i.e., proteins, directly. This paper proposes a data mining technique to predict the structural characteristics of a given protein group, one of dominant factors of the functions of them. After explains associations among amino acid subsequences in the primary structures of proteins, which can provide important clues for determining secondary or tertiary structures of them, it defines a sequence association rule to represent the inter-subsequences. It also provides support and confidence measures, newly designed to evaluate the usefulness of sequence association rules, After is proposes a method to discover useful sequence association rules from a given protein group, it evaluates the performance of the proposed method with protein sequence data from the SWISS-PROT protein database.

• Journal of Life Science
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• v.29 no.5
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• pp.621-630
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• 2019

Fertilization is the beginning of a new life that occurs in the female uterine. The female reproductive tract is composed ovary, oviduct, uterine, vagina and cervix, their physiological features are regulated by estrous cycle. Of these, uterine is a main point to establish embryo development and implantation, and intercommunication between embryo and uterine environment is necessary for suitable pregnancy. Endometrium is part of the uterine, its morphology is repetitively changed by hormones, and characteristic of uterine fluid from endometrium is also changed. Recently, massive proteins of endometrium and uterine fluid can be detected according to develop proteomics and bioinformatics and have been accelerated the understanding of the reproductive biology fields. Moreover, the massive protein information is actively studying with deeply studied theory such as sex hormone signal pathway and angiogenesis in mammals. In this paper, we review understanding of endometrium remodeling, uterine gland and fluid during estrous cycle, additionally studies on endometrium and uterine fluid based on proteomics techniques. Lastly, we introduced methods of the protein-protein correlation using bioinformatics tool that interaction with hormone receptors, representative angiogenetic factors and detected proteins using proteomics in endometrium and uterine fluid. This review will be useful to understanding the study on search of new cell mechanism in endometrium and uterine fluid.

• Korean Journal of Organic Agriculture
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• v.22 no.1
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• pp.167-182
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• 2014

Korean Panax ginseng C. A. Meyer (P. ginseng) is a well-known and one of the most important tonic herbs used in traditional Korean medicine. The pharmacological effects of P. ginseng have been reported by many researchers. Nevertheless, little is known between the mechanism of action and the active compounds. In this study, we performed a comprehensive proteomic analysis and protein categorization in order to understand the physiological characteristics of the major components in the adventitious roots of P. ginseng. Whole proteins extracted from the cultured adventitious roots of P. ginseng were separated by two-dimensional polyacrylamide gel electrophoresis (2-DE). Among the 1000 spots which were detected by silver staining, 113 spots were labeled and identified by matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF MS). Our results showed that 40 proteins were identified among the 113 spots, with a hit ratio of 35.3%. A number of proteins identified on the 2-DE gels (30%; 16 spots) were involved in energy metabolism. These proteomic data will be helpful to better understand the physiological and pharmacological effects of P. ginseng.

• The Korean Journal of Pain
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• v.21 no.2
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• pp.112-118
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• 2008

Background: This study was conducted to quantitatively analyze proteins associated with the calcitonin gene-related peptide (CGRP) in cerebrospinal fluid (CSF) that was obtained from a rat model of chronic neuropathic pain following administration of intrathecal $CGRP_{8-37}$. Methods: Male Sprague-Dawley rats (100-150 g, 5-6 wks) were divided into two groups, sham controls and neuropathic pain models. At the time of operation for neuropathic pain model, an intrathecal catheter was threaded through the intrathecal space. At 1 or 2 wks after the operation (maximum pain state), a test dose of 1, 5, 10, or 50 nM of $CGRP_{8-37}$ was injected into the intrathecal catheter and the CSF was then aspirated. Conventional proteomics to evaluate the CSF were then performed using high resolution 2-D, gel electrophoresis followed by computational image analysis and protein identification by mass spectrometry. Results: Treatment with $CGRP_{8-37}$ effectively alleviated mechanical allodynia in a dose dependent manner. The most effective response was obtained when a dose of 50 nM was administered, but significant differences were obtained following administration of only 5 nM $CGRP_{8-37}$. Furthermore, the results of the proteomic analysis were consistent with the experimental results. Specially we detected 30 differentially expressed spots in 7 images when 2-D gel electrophoresis was conducted. The intensity of 6 of these spots (spot number: 20 and 26-30) was found decrease the $CGRP_{8-37}$ dose increased; therefore, these spots were evaluated by mass spectrometry. This analysis identified 2 different proteins, CGRP (spot numbers: 26-30) and neurotensin-related peptide (spot number: 20). Conclusions: The results of this study suggest that CGRP plays a role in chronic central neuropathic pain and is a major target of chronic neuropathic pain management.

• Reproductive and Developmental Biology
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• v.34 no.3
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• pp.143-151
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• 2010

Pluripotency of human embryonic stem cell (hESC) is one of the most valuable ability of hESCs for applying cell therapy field, but also showing side effect, for example teratoma formation. When transplant multipotent stem cell, such as mesnchymal stem cell (MSC) which retains similar differentiation ability, they do not form teratoma in vivo, but there exist limitation of cellular source supply. Accordingly, differentiation of hESC into MSC will be promising cellular source with strong points of both hESC and MSC line. In this study, we described the derivation of MSC like cell population from feeder free cultured hESC (hESC-MSC) using direct differentiation system. Cells population, hESC-MSC and bone marrow derived MSC (BM-MSC) retained similar characteristics in vitro, such as morphology, MSC specific marker expression and differentiation capacity. At the point of differentiation of both cell populations, differentiation rate was slower in hESC-MSC than BM-MSC. As these reason, to verify differentially expressed molecular condition of both cell population which bring out different differentiation rate, we compare the molecular condition of hESC-MSC and BM-MSC using 2-D proteomic analysis tool. In the proteomic analysis, we identified 49 differentially expressed proteins in hESC-MSC and BM-MSC, and they involved in different biological process such as positive regulation of molecular function, biological process, cellular metabolic process, nitrogen compound metabolic process, macromolecule metabolic process, metabolic process, molecular function, and positive regulation of molecular function and regulation of ubiquitin protein ligase activity during mitotic cell cycle, cellular response to stress, and RNA localization. As the related function of differentially expressed proteins, we sought to these proteins were key regulators which contribute to their differentiation rate, developmental process and cell proliferation. Our results suggest that the expressions of these proteins between the hESC-MSC and BM-MSC, could give to us further evidence for hESC differentiation into the mesenchymal stem cell is associated with a differentiation factor. As the initial step to understand fundamental difference of hESC-MSC and BM-MSC, we sought to investigate different protein expression profile. And the grafting of hESC differentiation into MSC and their comparative proteomic analysis will be positively contribute to cell therapy without cellular source limitation, also with exact background of their molecular condition.