• 한국환경과학회지
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• 제24권5호
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• pp.623-631
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• 2015

Microarray technology provides a unique tool for the determination of gene expression at the level of messenger RNA (mRNA). This study, the mRNA expression profiles provide insight into the mechanism of action of cadmium in Fleshy shrimp (Fenneropenaeus chinensis). The ability of genomic technologies was contributed decisively to development of new molecular biomarkers and to the determination of new possible gene targets. Also, it can be approach for monitoring of trace metal using oligo-chip microarray-based in potential model marine user level organisms. 15K oligo-chip for F. chinensis that include mostly unique sets of genes from cDNA sequences was developed. A total of 13,971 spots (1,181 mRNAs up- regulated and 996 down regulated) were identified to be significantly expressed on microarray by hierarchical clustering of genes after exposure to cadmium for different conditions (Cd24-5000 and Cd48-1000). Most of the changes of mRNA expression were observed at the long time and low concentration exposure of Cd48-1000. But, gene ontology analysis (GO annotation) were no significant different between experiments groups. It was observed that mRNA expression of main genes involved in metabolism, cell component, molecular binding and catalytic function. It was suggested that cadmium inhibited metabolism and growth of F. chinensis.

• 정보처리학회논문지D
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• 제18D권2호
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• pp.89-100
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• 2011

인간 유전체에 존재하는 유전적 구조 변이(genetic structural variation) 중 하나인 유전체 단위반복변이(Copy Number Variation, CNV)은 유전자의 기능 발현과 밀접한 관련이 있다. 특히 특정 유전 질병이 있는 사람들을 대상으로 CNV와 유전자발현의 관계를 밝히는 연구가 계속 진행되고 있지만, 정상인 유전체에 대한 CNV의 기능적 분석은 아직 활발히 이루어지고 있지 않다. 본 논문에서는 다수의 정상인 샘플에서 찾아낸 공통된 CNV에 대하여 유전자들과의 기능적 관계를 유전자의 분자적 위치와 상관없이 밝힐 수 있는 분석 방법을 제시한다. 이를 위해 서로 다른 이질적인 생물학데이터를 통합하는 방법을 제시하고 공통된 CNV와 유전자와의 연관성을 분자적 위치와 상관없이 계산할 수 있는 새로운 방법을 제시한다. 제안된 방법의 유의성을 보이기 위해서 유전자 온톨로지 (Gene Ontology) 데이터베이스를 이용한 다양한 검증 실험들을 수행하였다. 실험결과 새롭게 제안된 연관성 측정방법은 유의성이 있으며 공통된 CNV와 강한 연관성을 갖는 유전적 기능의 후보들을 시스템적으로 제시할 수 있는 것으로 나타났다.

• 디지털콘텐츠학회 논문지
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• 제19권9호
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• pp.1795-1801
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• 2018

질환의 원인을 규명하기 위해 전장유전체 연관분석 (GWAS; Genome-Wide Association Study) 연구가 활발히 진행되고 유전체 레벨의 단일염기다형성 (SNP; Single-nucleotide polymorphism)이 많이 밝혀지고 있다. 그러나 단일염기다형성의 연관분석을 통해 질환이 발병하는 생물학적 메카니즘을 이해하기 어렵기 때문에 유전자, 생물학적 패스웨이 및 질환 등의 연관성 분석이 이전보다 더욱 중요하다. 본 논문에서는 단일염기다형성과 관련된 유전자와 패스웨이, 질환 정보를 검색하여 통합 분석하는 서비스를 제공하는 PRaDA 웹 시스템을 제안하였다. PRaDA는 사용자로부터 입력받은 유의한 몇몇의 단일염기다형성들과 관련된 유전자 및 패스웨이 뿐만 아니라, 유의하지 않은 다수의 단일염기다형성 집합의 간접적인 영향을 파악하기 위해 기능적으로 근접한 패스웨이를 검색하고 통계적 분석을 실행한다. 사용자들은 PRaDA가 제공하는 통합된 정보를 통해 질병의 전반적인 이해를 할 수 있다.

• Molecules and Cells
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• 제42권4호
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• pp.333-344
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• 2019

Various genetic and environmental factors are known to be associated with chronic obstructive pulmonary disease (COPD). We identified COPD-related differentially expressed genes (DEGs) using 189 samples accompanying either adenocarcinoma (AC) or squamous cell carcinoma (SC), comprising 91 normal and 98 COPD samples. DEGs were obtained from the intersection of two DEG sets separately identified for AC and SC to exclude the influence of different cancer backgrounds co-occurring with COPD. We also measured patient samples named group 'I', which were unable to be determined as normal or COPD based on alterations in gene expression. The Gene Ontology (GO) analysis revealed significant alterations in the expression of genes categorized with the 'cell adhesion', 'inflammatory response', and 'mitochondrial functions', i.e., well-known functions related to COPD, in samples from patients with COPD. Multi-omics data were subsequently integrated to decipher the upstream regulatory changes linked to the gene expression alterations in COPD. COPD-associated expression quantitative trait loci (eQTLs) were located at the upstream regulatory regions of 96 DEGs. Additionally, 45 previously identified COPD-related miRNAs were predicted to target 66 of the DEGs. The eQTLs and miRNAs might affect the expression of 'respiratory electron transport chain' genes and 'cell proliferation' genes, respectively, while both eQTLs and miRNAs might affect the expression of 'apoptosis' genes. We think that our present study will contribute to our understanding of the molecular etiology of COPD accompanying lung cancer.

• 한국어류학회지
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• 제32권3호
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• pp.117-129
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• 2020

생물의 종 구분에 이용하는 지표 중 체색은 특징이 뚜렷한 형태 지표로서, 어류의 종 동정에 유용한 형태형질이다. 개볼락은 한국 중부와 남부, 일본 홋카이도 남쪽 등지에 분포하는 상업적으로 중요한 어종으로, 피부에 반점의 유무 및 마킹이 있는 위치에 따라 4개의 아종으로 구분하는 복잡한 체색 특성을 갖는다. 그러나 개볼락의 다양한 체색 패턴과 관련된 유전자 탐색 및 유전자 변이 발굴 등 체색 형성에 관여하는 유전자 규명에 관한 연구는 없다. 이에 따라 본 연구에서는 개볼락의 체색 패턴 관련 유전자 발굴 및 유전자 발현 특성을 규명하기 위한 기초 연구로 체색 타입별 피부 전사체를 프로파일링하였다. 개볼락을 Wild type (반점과 marking 없음)과 Color type (반점과 마킹 모두 있음)으로 구분하였고, 피부 전사체를 RNA-seq 방법을 이용하여 분석하였다. 개볼락 피부 전사체의 발현량을 비교하여 체색 타입별 차등발현유전자 164개를 확보하였다. 이들 차등발현유전자의 기능을 Gene ontology(GO) 분석으로 확인한 결과, 2개는 molecular function, 46개는 biological process, 6개는 cellular component 기능그룹에 속하였다. 차등발현유전자 중 CTL (Galactose-specific lectin nattectin), CUL1 (Cullin-1), CMAS (N-acylneuraminate cytidylyltransferase), NMRK2 (Nicotinamide riboside kinase 2), ALOXE3 (Hydroperoxide isomerase ALOXE3), SLC4A7 (Sodium bicarbonate cotransporter 3) 등은 특정 체색 타입 특이적인 발현양상을 나타냈다. 이번 연구는 개볼락의 체색 패턴 형성에 관여하는 전사체를 탐색한 첫 번째 연구로, 체색 형성 관련 기능유전자 발굴을 위한 후보유전자로 개볼락의 체색 타입별 차등발현유전자를 확보한 것에 의의가 있다. 향후에는 이들 후보유전자의 발현양상 및 기능을 분석하여 개볼락의 복잡한 체색 패턴과 관련된 기능유전자의 특성을 밝히고자 한다.

• Asian-Australasian Journal of Animal Sciences
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• 제32권2호
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• pp.290-296
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• 2019

Objective: Pigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans. Methods: nsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed. Results: The results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer's disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts. Conclusion: The number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.

• Journal of Periodontal and Implant Science
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• 제51권1호
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• pp.18-29
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• 2021

Purpose: The aim of this study was to compare the characteristic expression patterns of advanced periodontitis in 2 cohort data sets analyzed using different microarray platforms, and to identify differentially expressed genes (DEGs) through a meta-analysis of both data sets. Methods: Twenty-two patients for cohort 1 and 40 patients for cohort 2 were recruited with the same inclusion criteria. The 2 cohort groups were analyzed using different platforms: Illumina and Agilent. A meta-analysis was performed to increase reliability by removing statistical differences between platforms. An integrative meta-analysis based on an empirical Bayesian methodology (ComBat) was conducted. DEGs for the integrated data sets were identified using the limma package to adjust for age, sex, and platform and compared with the results for cohorts 1 and 2. Clustering and pathway analyses were also performed. Results: This study detected 557 and 246 DEGs in cohorts 1 and 2, respectively, with 146 and 42 significantly enriched gene ontology (GO) terms. Overlapping between cohorts 1 and 2 was present in 59 DEGs and 18 GO terms. However, only 6 genes from the top 30 enriched DEGs overlapped, and there were no overlapping GO terms in the top 30 enriched pathways. The integrative meta-analysis detected 34 DEGs, of which 10 overlapped in all the integrated data sets of cohorts 1 and 2. Conclusions: The characteristic expression pattern differed between periodontitis and the healthy periodontium, but the consistency between the data sets from different cohorts and metadata was too low to suggest specific biomarkers for identifying periodontitis.

• 한방안이비인후피부과학회지
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• 제36권2호
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• pp.1-9
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• 2023

Objectives : This study used a network pharmacology approach to analyze the treatment mechanisms of Yijin-tang on Meniere's disease, and comparative analysis the treatment mechanisms of drugs recommended in the Meniere's disease treatment guidelines. Methods : We collected information on the recommended drugs from the Meniere's disease treatment guidelines and their target proteins were screened via the STITCH database. The intersection targets were obtained through Venny 2.1.0. Gene Ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed using ClueGO. Results : The 7 proteins(TNF, CASP9, PARP1, CCL2, CFTR, NOS2, NOS1) were associated with both Yijin-tang and Meniere's disease related genes. The 10 proteins(AQP2, KCNE1, AQP1, AVP, ACE, HRH1, HRH3, NOS1, CA1, CFTR) were associated with both the recommended drugs in the guidelines and Meniere's disease related genes. The 2 proteins(CFTR, NOS1) were common across all three groups. Further, GO/KEGG pathway analysis of the collected proteins revealed that the common mechanisms of action between Yijin-tang and the recommended drugs in the guidelines were related to pathways involving immune dysfunction and disturbances in lymphatic fluid homeostasis. In addition, the recommended drugs in the guidelines appeared to act through mechanisms that improve blood flow through vasodilation. Conclusions : Pharmacological network analysis can help to explain the treatment mechanisms of Yijin-tang on Meniere's disease.

• Journal of Animal Science and Technology
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• 제60권7호
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• pp.18.1-18.12
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• 2018

Background: Xanthosine treatment has been previously reported to increase mammary stem cell population and milk production in cattle and goats. However, the underlying molecular mechanisms associated with the increase in stem cell population and milk production remain unclear. Methods: Primiparous Beetal goats were assigned to the study. Five days post-partum, one mammary gland of each goat was infused with xanthosine (TRT) twice daily ($2{\times}$) for 3 days consecutively, and the other gland served as a control (CON). Milk samples from the TRT and CON glands were collected on the 10th day after the last xanthosine infusion and the total RNA was isolated from milk fat globules (MEGs). Total RNA in MFGs was mainly derived from the milk epithelial cells (MECs) as evidenced by expression of milk synthesis genes. Significant differentially expressed genes (DEGs) were subjected to Gene Ontology (GO) terms using PANTHER and gene networks were generated using STRING db. Results: Preliminary analysis indicated that each individual goat responded to xanthosine treatment differently, with this trend being correlated with specific DEGs within the same animal's mammary gland. Several pathways are impacted by these DEGs, including cell communication, cell proliferation and anti-microbials. Conclusions: This study provides valuable insights into transcriptomic changes in milk producing epithelial cells in response to xanthosine treatment. Further characterization of DEGs identified in this study is likely to delineate the molecular mechanisms of increased milk production and stem or progenitor cell population by the xanthosine treatment.

• 대한본초학회지
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• 제39권3호
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• pp.37-47
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• 2024

Objectives : Because predicting the potential efficacy and mechanisms of Korean medicines is challenging due to their high complexity, employing an approach based on network pharmacology could be effective. In this study, network pharmacological analysis was utilized to anticipate the effects of YunPye-Hwan (YPH) in treating Chronic obstructive pulmonary disease (COPD). Methods : Compounds and their related target genes of YPH were gathered from the TCMSP and PubChem databases. These target genes of YPH were subsequently compared with gene sets associated with COPD to assess correlation. Next, core genes were identified through a two-step screening process, and finally, functional enrichment analysis of these core genes was conducted using both Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathways. Results : A total of 15 compounds and 437 target genes were gathered, resulting in a network comprising 473 nodes and 14,137 edges. Among them, 276 genes overlapped with gene sets associated with COPD, indicating a significant correlation between YPH and COPD. Functional enrichment analysis of the 18 core genes revealed biological processes and pathways such as "miRNA Transcription," "Nucleic Acid-Templated Transcription," "DNA-binding Transcription Factor Activity," "MAPK signaling pathway," and "TNF signaling pathway" were implicated. Conclusion : YPH exhibited significant relevance to COPD by modulating cell proliferation, differentiation, inflammation, and cell death pathways. This study could serve as a foundational framework for further research investigating the potential use of YPH in the treatment of COPD.