• Genomics & Informatics
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• 제11권4호
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• pp.186-190
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• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• 식물분류학회지
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• 제52권2호
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• pp.114-117
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• 2022

Lindera angustifolia is mainly distributed in the temperate climate zone of China but shows an extraordinary distribution, disjunctively isolated on the western coastal islands of Korea. We therefore present the complete chloroplast genome of Korean L. angustifolia. The complete plastome was 152,836 bp in length, with an overall GC content of 39.2%. A large single copy (93,726 bp) and a small single copy (18,946 bp) of the genome were separated by a pair of inverted repeats (20,082 bp). The genome consists of 125 genes, including 81 protein-coding, eight ribosomal RNA, and 36 transfer RNA genes. While five RNA editing genes (psbL, rpl2, ndhB×2, and ndhD) were identified in L. angustifolia from China, the "ndhD" gene was not recognized as an RNA editing site in the corresponding Korean individual. A phylogenetic analysis revealed that Korean L. angustifolia is most closely related to the Chinese L. angustifolia with strong bootstrap support, forming a sister group of L. glauca.

• Journal of Ginseng Research
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• 제41권4호
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• pp.469-476
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• 2017

Background: Panax ginseng Meyer (Asian ginseng) has a large nuclear genome size of > 3.5 Gbp in haploid genome equivalent of 24 chromosomes. Tandem repeats (TRs) occupy significant portions of the genome in many plants and are often found in specific genomic loci, making them a valuable molecular cytogenetic tool in discriminating chromosomes. In an effort to understand the P. ginseng genome structure, we characterized an ultrahigh copy 167-bp TR (Pg167TR) and explored its chromosomal distribution as well as its utility for chromosome identification. Methods: Polymerase chain reaction amplicons of Pg167TR were labeled, along with 5S and 45S rDNA amplicons, using a direct nick-translation method. Direct fluorescence in situ hybridization (FISH) was used to analyze the chromosomal distribution of Pg167TR. Results: Recently, we reported a method of karyotyping the 24 chromosome pairs of P. ginseng using rDNA and DAPI (4',6-diamidino-2-phenylindole) bands. Here, a unique distribution of Pg167TR in all 24 P. ginseng chromosomes was observed, allowing easy identification of individual homologous chromosomes. Additionally, direct labeling of 5S and 45S rDNA probes allowed the identification of two additional 5S rDNA loci not previously reported, enabling the refinement of the P. ginseng karyotype. Conclusion: Identification of individual P. ginseng chromosomes was achieved using Pg167TR-FISH. Chromosome identification is important in understanding the P. ginseng genome structure, and our method will be useful for future integration of genetic linkage maps and genome scaffold anchoring. Additionally, it is a good tool for comparative studies with related species in efforts to understand the evolution of P. ginseng.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.56-58
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• 2000

Post-genomics may be defined in different ways depending on how one views the challenges after the genome. A popular view is to follow the concept of the central dogma in molecular biology, namely from genome to transcriptome to proteome. Projects are going on to analyze gene expression profiles both at the mRNA and protein levels and to catalog protein 3D structure families, which will no doubt help the understanding of information in the genome. However complete, such catalogs of genes, RNAs, and proteins only tell us about the building blocks of life. They do not tell us much about the wiring (interaction) of building blocks, which is essential for uncovering systemic functional behaviors of the cell or the organism. Thus, an alternative view of post-genomics is to go up from the molecular level to the cellular level, and to understand, what I call, the "interactome"or a complete picture of molecular interactions in the cell. KEGG (http://www.genome.ad.jp/kegg/) is our attempt to computerize current knowledge on various cellular processes as a collection of "generalized"protein-protein interaction networks, to develop new graph-based algorithms for predicting such networks from the genome information, and to actually reconstruct the interactomes for all the completely sequenced genomes and some partial genomes. During the reconstruction process, it becomes readily apparent that certain pathways and molecular complexes are present or absent in each organism, indicating modular structures of the interactome. In addition, the reconstruction uncovers missing components in an otherwise complete pathway or complex, which may result from misannotation of the genome or misrepresentation of the KEGG pathway. When combined with additional experimental data on protein-protein interactions, such as by yeast two-hybrid systems, the reconstruction possibly uncovers unknown partners for a particular pathway or complex. Thus, the reconstruction is tightly coupled with the annotation of individual genes, which is maintained in the GENES database in KEGG. We are also trying to expand our literature surrey to include in the GENES database most up-to-date information about gene functions.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
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• pp.811-814
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• 2006

대부분의 게임에는 플레이어를 상대하는 몬스터가 존재한다. 이 몬스터는 대부분 미리 정해진 방법과 데이터로 생성되며, 환경이나 플레이어에 적응하는 방식은 거의 없었다. 본 논문에서는 몬스터 생성을 위해 개선된 유전 알고리즘을 소개한다. 이 알고리즘은 상동염색체 구조가 적용되어있다. 기존의 유전알고리즘에서 각 개체가 오직 하나의 genome만을 가지고 있다. 하지만, 상동 염색체 구조를 가지고 있는 유전 알고리즘에서는 각 개체가 각 좌 위에 한 쌍의 대립 유전자를 지니게 된다. 단순한 유전알고리즘과 개선된 유전알고리즘을 비교하기 위해 간단한 이진 문제를 가지고 시뮬레이션 해 보았다. 실험결과 제안된 알고리즘이 더 적은 세대수로 답을 찾을 수 있다는 것을 알게 되었다.

• 한국균학회지
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• 제26권2호통권85호
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• pp.135-143
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• 1998

CHEF (Contour-Clamped homogeneous electric field) gel electrophoresis를 이용하여 Fusarium section Sporotrichiella, Liseola, Gibbosum, Discolor와 Martiella에 속하는 10종의 electrophoretic karyotype을 비교하였다. Intact chromosomal DNA는 균류의 원형질체로부터 추출하였으며, 크기에 따라 다양한 조건을 주어 DNA 분자를 분리시켰다. Fusarium속에 속하는 종의 염색체는 0.78Mb에서 7.20Mb의 크기를 가진 염색체가 종에 따라 $5{\sim}13$개였다. 각 종의 total genome 크기는 18.32Mb에서 48.20Mb였다. Electrophoretic karyotype을 비교한 후 F. oxysporum formae speciales lilii로부터 무작위로 선택하여 만든 genomic DNA를 probe로 하여 Southern hybridization 분석을 수행하였다.

• BMB Reports
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• 제41권9호
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• pp.626-634
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• 2008

Novel cancer biomarkers are required to achieve early diagnosis and optimized therapy for individual patients. Cancer is a disease of the genome, and tumor tissues are a rich source of cancer biomarkers as they contain the functional translation of the genome, namely the proteome. Investigation of the tumor tissue proteome allows the identification of proteomic signatures corresponding to clinico-pathological parameters, and individual proteins in such signatures will be good biomarker candidates. Tumor tissues are also a rich source for plasma biomarkers, because proteins released from tumor tissues may be more cancer specific than those from non-tumor cells. Two-dimensional difference gel electrophoresis (2D-DIGE) with novel ultra high sensitive fluorescent dyes (CyDye DIGE Fluor satulation dye) enables the efficient protein expression profiling of laser-microdissected tissue samples. The combined use of laser microdissection allows accurate proteomic profiling of specific cells in tumor tissues. To develop clinical applications using the identified biomarkers, collaboration between research scientists, clinicians and diagnostic companies is essential, particularly in the early phases of the biomarker development projects. The proteomics modalities currently available have the potential to lead to the development of clinical applications, and channeling the wealth of produced information towards concrete and specific clinical purposes is urgent.

• 대한의생명과학회지
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• 제30권2호
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• pp.86-95
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• 2024

Sleep varies from individual to individual and is essential for maintaining good health, making it important for the health of individuals and societies. Sleep duration is influenced by both genetic and environmental factors, and sleep duration has been reported to be associated with obesity, metabolic syndrome, diabetes, and cardiovascular disease. In this study, we identified SNPs associated with sleep duration from the genome-wide association study (GWAS) catalog and compared them with the Korean Association Resource (KARE) cohort to find SNPs associated with sleep duration in Koreans and to identify the genes involved. The results showed that rs1553132, a SNP in the GRM5 gene, was identified as an SNP associated with sleep duration in both the GWAS catalog and the KARE cohort, and rs1504096 was the first SNP found to be associated with sleep duration in Koreans. It was found that having a minor allele tended to increase sleep duration. These results confirm the reproducibility of the association between sleep duration and the GRM5 gene in Koreans and provide a basis for using the associated SNPs as genetic determinants of sleep duration.

• Genomics & Informatics
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• 제6권4호
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• pp.173-180
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• 2008

The human genome has evolved as a consequence of evolutionary forces, such as natural selection. In this study, we investigated natural selection on the human genes by comparing the numbers of nonsynonymous (NS) and synonymous (S) mutations in individual genes. We initially collected all coding SNP data of all human genes from the public dbSNP. Among the human genes, we selected 3 different selection groups of genes: positively selected genes (NS/S${\geq}$3), negatively selected genes (NS/S${\leq}$1/3) and neutral selection genes (0.9

• Asian Pacific Journal of Cancer Prevention
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• 제13권12호
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• pp.6469-6474
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• 2012

Background: DNA repair is one of the crucial defense mechanism against mutagenic exposure. Inherited SNPs of DNA repair genes may contribute to variation in DNA repair capacity and susceptibility to cancer. Due to the presence of these variants, inter-individual and ethnic differences in DNA repair capacity have been established in various populations. India harbors enormous genetic and cultural diversity. Materials and Methods: In the present study we aimed to determine the genotypes and allele frequencies of XRCC1 Arg399Gln (rs25487), XRCC3 Thr241Met (rs861539), XPD Lys751Gln (rs13181), and OGG1 Ser326Cys (rs1052133) gene polymorphisms in 186 healthy individuals residing in the Hyderabad region of India and to compare them with HapMap and other populations. Results and Conclusions: The genotype and allele frequency distribution at the four DNA repair gene loci among Hyderabad population of India revealed a characteristic pattern. Comparison of these gene polymorphisms with other populations revealed a distinctiveness of Hyderabad population from the Deccan region of India. To the best of our knowledge, this is the first report of such DNA repair gene polymorphisms in the Deccan Indian population.