• Molecular & Cellular Toxicology
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• 제1권1호
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• pp.7-12
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• 2005

Proteomics has recently received intense scientific interest after the completion of the Human Genome Project, because this genome-based high technology allows to search new drug targets or diagnostic markers. Many proteome projects including Human plasma proteome projects (HPPP), Human liver proteome projects (HLPP), Human brain proteome projects (HBPP), and Mouse and Rat Proteome Project (MRPP) have been carried out and proteomic analytical techniques have been developed in second dimensional electrophoresis (2-DE) and LC/MS system. This powerful method has been applied in toxicology producing a new term "Toxicoproteomics". In this review, recent proteome projects, proteomic technologies, and toxicoproteomics will be discussed.

• 한국동물번식학회:학술대회논문집
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• 한국동물번식학회 2004년도 춘계학술발표대회
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• pp.173-175
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• 2004

단백질체(Proteome)이란 말은 어원적으로 단백질(protein)에 전체란 뜻을 가진 어미(-body, -some)가 연결된 합성어로 주어진 순간에 세포나 조직이 발현하는 모든 단백질의 총체를 의미하고 이를 연구하는 학문은 Proteomics라 일컫는다. 2001년 2월 International Human Genome Project에 의해 human genome sequence가 밝혀짐으로써 유전체 연구는 일단락 완성되었지만, 염기서열만 가지고는 이 유전자 산물의 기능을 알 수 없었고, 이것이 전사되고 최종적으로 완벽한 모양이 갖추어진 단백질을 분석해야만 그 기능을 알 수 있었다. (중략)

• The Plant Pathology Journal
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• 제17권6호
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• pp.375.2-375
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• 2001

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-1
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• pp.60-61
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• 2003

Human Genome Project has recently been completed and the information on nucleotide sequences of our whole genome is now available at the public or commercial data banks. Next goals are to identify the functions of each gene and to elucidate the intracellular signal transduction pathways regulating gene expression. We have established a PCR-based bioassay to search for biologically active compounds that can modulate the expression of genes encoding important proteins. (omitted)

• 과학기술학연구
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• 제19권2호
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• pp.117-167
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• 2019

인간 유전체 프로젝트의 초안 발표 이후 여러 한국인 유전체 프로젝트들이 추진되었다. 그 결과 등장한 한국인 유전체를 둘러싼 흥미로운 담론 중 하나는 "한국인 유전체" 서열 분석을 통해 "아시아인 맞춤의학"을 구현할 수 있다는 주장이다. 본 논문은 이를 한국 유전체 학자들이 자국민에 대한 유전체 자료를 상업화하려는 노력 가운데 발전시킨 전략으로 인지하고, 이 "아시아인 건강을 위한 한국인 게놈" 전략이 출현하게 된 배경을 역사적으로 검토한다. 이 글은 한국 유전체 프로젝트들의 전략이 탈식민 국가들에서 빈번하게 발견되는 "유전체 주권"(genome sovereignty) 정책이 2000년대 초반 이후 한국에서 주요 정책 의제로 부상한 아시아 지역주의와 결합하여 등장한 산물이라고 주장한다. 이를 통해 이 연구는 그간 범아시아 SNP 컨소시엄(Pan-Asian Single Nucleotide Polymorphism Consortium)을 중심으로 논의된 유전체학과 아시아인의 구성에 관한 과학기술학 연구가 국소적인 아시아인 관념과 아시아 지역주의를 가진 싱가포르의 경험을 지나치게 일반화해왔음을 지적한다. 이와 함께 한국 유전체학 거버넌스에서 과학기술학자들이 맡을 수 있는 역할에 대해서도 고민해 볼 기회를 제공할 것이다.

• Interdisciplinary Bio Central
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• 제3권1호
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• pp.1.1-1.6
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• 2011

Recently, with the progress of genome sequencing, materials and information for research on tomato (Solanum lycopersicum) have been systematically organized. Tomato genomics tools including mutant collections, genome sequence information, full-length cDNA and metabolomic datasets have become available to the research community. In Japan, the National BioResource Project Tomato (NBRP Tomato) was launched in 2007, with aims to collect, propagate, maintain and distribute tomato bioresources to promote functional genomics studies in tomato. To this end, the dwarf variety Micro-Tom was chosen as a core genetic background, due to its many advantages as a model organism. In this project, a total of 12,000 mutagenized lines, consisting of 6000 EMS-mutagenized and 6000 gamma-ray irradiated M2 seeds, were produced, and the M3 offspring seeds derived from 2236 EMS-mutagenized M2 lines and 2700 gamma-ray irradiated M2 lines have been produced. Micro-Tom mutagenized lines in the M3 generation and monogenic Micro-Tom mutants are provided from NBRP tomato. Moreover, tomato cultivated varieties and its wild relatives, both of these are widely used for experimental study, are available. In addition to these bioresources, NBRP Tomato also provides 13,227 clones of full-length cDNA which represent individual transcripts non-redundantly. In this paper, we report the current status of NBRP Tomato and its future prospects.

• 영어영문학
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• 제53권2호
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• pp.243-260
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• 2007

This article explores how Richard Powers' The Gold Bug Variations, an interdisciplinary novel through the new concepts of biocriticism and bioliterature is connected with literature/art and science/technology. Powers uses Edgar Allen Poe's "The Gold Bug" and Johann Sebastian Bach's "The Goldberg Variations" for decoding DNA in order to analogize a genomic metaphor. He imagines literature as "the book of life" genome, written by DNA code due to the complexity and multiplicity of the genome. His novel, as 'genomic narrative,' shows the articulation of the genomic reading, and expression in the life language through the discourses of the information technology and the rhetorical tropes in biology. New biological ideas are continually required to articulate these processes. In the present tendency of the Human Genome Project, such advanced devices as biocybernetics offer the potential to open up new possibilities to researching the complexity of the genome. This can only happen if the following two ideas are followed: One is to comply with advanced technologies for processing the rapidly increasing data of the genome sequence; The other is to admit the necessary paradigm shift in biology. As shown above, the complexity and multiplicity of the genomic reality is not so simple. We must go beyond determinism, even if representation of a biological reality reveals the possibility of expressing its constituent elements by the advanced biotechnology. Consequently, in the unstoppable advances of the art of decoding the genome, The Gold Bug Variations interrelates to the interdisciplinary approaches through the rhetorical tropes that unfold the complex discursive world of the genome. Powers shows that the complex mechanisms of the genome in the microworld of every cell as the plot of "the book of life" can be designed and written using DNA language. At the same time, his genomic reading and writing demonstrate the historical processes of the shifting center of new genomic development and polysemous interpretation.

• Genomics & Informatics
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• 제12권3호
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• pp.121-126
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• 2014

Medication adherence is generally defined as the extent of voluntary cooperation of a patient in taking medicine as prescribed. Adherence to long-term treatment with chronic disease is essential for reducing disease comorbidity and mortality. However, medication non-adherence in chronic disease averages 50%. This study was conducted a genome-wide association study to identify the genetic basis of medication adherence. A total of 235 medication non-adherents and 1,067 medication adherents with hypertension or diabetes were used from the Korean Association Resource project data according to the self-reported treatment status of each chronic disease, respectively. We identified four single nucleotide polymorphisms with suggestive genome-wide association. The most significant single nucleotide polymorphism was rs6978712 (chromosome 7, $p=4.87{\times}10^{-7}$), which is located proximal to the GCC1 gene, which was previously implicated in decision-making capability in drug abusers. Two suggestive single nucleotide polymorphisms were in strong linkage disequilibrium ($r^2$ > 0.8) with rs6978712. Thus, in the aspect of decision-making in adherence behavior, the association between medication adherence and three loci proximal to the GCC1 gene seems worthy of further research. However, to overcome a few limitations in this study, defining the standardized phenotype criteria for self-reported adherence should be performed before replicating association studies.

• Genomics & Informatics
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• 제14권4호
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• pp.138-148
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• 2016

The success of genome-wide association studies (GWASs) has enabled us to improve risk assessment and provide novel genetic variants for diagnosis, prevention, and treatment. However, most variants discovered by GWASs have been reported to have very small effect sizes on complex human diseases, which has been a big hurdle in building risk prediction models. Recently, many statistical approaches based on penalized regression have been developed to solve the "large p and small n" problem. In this report, we evaluated the performance of several statistical methods for predicting a binary trait: stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN). We first built a prediction model by combining variable selection and prediction methods for type 2 diabetes using Affymetrix Genome-Wide Human SNP Array 5.0 from the Korean Association Resource project. We assessed the risk prediction performance using area under the receiver operating characteristic curve (AUC) for the internal and external validation datasets. In the internal validation, SLR-LASSO and SLR-EN tended to yield more accurate predictions than other combinations. During the external validation, the SLR-SLR and SLR-EN combinations achieved the highest AUC of 0.726. We propose these combinations as a potentially powerful risk prediction model for type 2 diabetes.

• Journal of Microbiology and Biotechnology
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• 제16권5호
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• pp.683-688
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• 2006

We have developed a program for generating shotgun data sets from known genome sequences. Generation of synthetic data sets by computer program is a useful alternative to real data to which students and researchers have limited access. Uniformly-distributed-sampling clones that were adopted by previous programs cannot account for the real situation where sampled reads tend to come from particular regions of the target genome. To reflect such situation, a probabilistic model for biased sampling distribution was developed by using an experimental data set derived from a microbial genome project. Among the experimental parameters tested (varied fragment or read lengths, chimerism, and sequencing error), the extent of sequencing error was the most critical factor that hampered sequence assembly. We propose that an optimum sequencing strategy employing different insert lengths and redundancy can be established by performing a variety of simulations.