• Journal of Life Science
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• v.32 no.10
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• pp.803-811
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• 2022

Despite the importance of traditional Korean fermented foods, little is known about the microbial communities and diversity of fermented soy products. To gain insight into the unexplored microbial communities of both Doenjang (DJ) and Ganjang (GJ) that may contribute to the fermentation in Korean traditional foods, we carried out next-generation sequencing (NGS) based on the V3-V4 region of 16S rDNA gene analysis. The alpha diversity analysis results revealed that both the Shannon and Simpson diversity indices were significantly different between the two groups, whereas the richness indices, including ACE, CHAO, and Jackknife, were not significant. Firmicutes were the most dominant phylum in both groups, but several taxa were found to be more abundant in DJ than in GJ. The proportions of Bacillus, Kroppenstedtia, Clostridium, and Pseudomonas and most halophiles and halotolerant bacteria, such as Tetragenococcus, Chromohalobacter, Lentibacillus, and Psychrobacter, were lower in DJ than in GJ. Linear discriminant effect size (LEfSe) analysis was carried out to discover discriminative functional biomarkers. Biomarker discovery results showed that Bacillus and Tetragenococcus were identified as the most important features for the classification of subjects to DJ and GJ. Paired-permutational multivariate analysis of variance (PERMANOVA) further revealed that the bacterial community structure between the two groups was statistically different (p=0.001).

• Journal of Marine Life Science
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• v.7 no.1
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• pp.15-20
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• 2022

Glioblastoma is one of the highly aggressive central nervous system tumors and it is difficult to treat owing its anatomical location. Peptides are novel class of drugs which has the potential to cross the blood brain barrier and exerts its anti-tumor activity. Here, we discovered a novel peptide from abalone (Haliotis discus hannai) next generation sequencing (NGS) data and tested its anticancer effect on glioblastoma cell line SNU-489. The anticancer activity was measured using a cytotoxicity assay in a time and dose-dependent manner. A concentration and time dependent increase in the cytotoxicity was seen in cells treated with the novel peptide. The highest cytotoxicity rate of about 67% was observed in SNU-489 cells treated with 200 µM peptide for 48 hrs. However, the cytotoxic effect was not or less observed in a normal skin cell line HaCaT at similar concentration, thus, evident of peptide's cell specific anticancer activity. In addition, the gene expression level of necroptosis-related genes was analyzed by qRT-PCR to elucidate the anticancer mechanism of the novel peptide. RIPK3 expression was significantly increased by 9.6-fold in 200 µM of novel peptide treatment group, and MLKL expression level was significantly elevated by 2-fold in 100 µM treated group compared to the control group. Therefore, this study confirmed that the novel abalone-derived peptide has anticancer potency, and it causes cancer cell death through the necroptosis mechanism. Collectively, these results suggest that the novel peptide could be candidate anticancer agent for the treatment of glioblastoma in the future.

• Korean Journal of Microbiology
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• v.49 no.4
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• pp.415-418
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• 2013

Since the development of the next generation sequencing (NGS) technology, 16S rRNA gene sequencing has become a major tool for microbial community analysis. Recently, human microbiome project (HMP) has been completed to identify microbes associated with human health and diseases. HMP achieved characterization of several diseases caused by bacteria, especially the ones in human gut. While human intestinal bacteria have been well characterized, little have been studied about other animal intestinal bacteria. In this study, we surveyed diversity of livestock animal fecal microbiota and discuss importance of studying fecal microbiota. Here, we report the initiation of the fecal microbiome project in South Korea.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.1
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• pp.16-28
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• 2023

Lung adenocarcinoma accounts for about 40% of all lung cancers. With the recent development of gene profiling technology, studies on mutations in oncogenes and tumor suppressor genes, which are important for the development and growth of tumors, have been actively conducted. Companion diagnosis using next-generation sequencing helps improve survival with targeted therapy. In this study, formalin-fixed paraffin-embedded tissues of non-small cell lung cancer patients were subjected to hematoxylin and eosin staining for detecting genetic mutations that induce lung adenocarcinoma in Koreans. Immunohistochemical staining was also performed to accurately classify lung adenocarcinoma tissues. Based on the results, next-generation sequencing was applied to analyze the types and patterns of genetic mutations, and the association with smoking was established as the most representative cause of lung cancer. Results of next-generation sequencing analysis confirmed the single nucleotide variations, copy number variations, and gene rearrangements. In order to validate the reliability of next-generation sequencing, we additionally performed the existing genetic testing methods (polymerase chain reaction-epidermal growth factor receptor, immunohistochemistry-anaplastic lymphoma kinase (D5F3), and fluorescence in situ hybridiation-receptor tyrosine kinase 1 tests) to confirm the concordance rates with the next-generation sequencing test results. This study demonstrates that next-generation sequencing of lung adenocarcinoma patients simultaneously identifies mutation.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.50-53
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• 2018

차세대 염기서열 분석법이 생성한 유전체 원시 데이터를 기존의 방식대로 하나의 서버에서 분석하기 위해서는 수십 시간이 필요할 수 있고 이러한 시간을 최대한 줄여야 하는 응급 상황도 존재한다. 따라서 본 연구에서는 고속의 네트워크로 연결되고 병렬 파일 시스템을 공유하는 서버 클러스터를 활용하여 분석 시간을 크게 단축 시킬 수 있는 유전체 데이터 분석의 전처리 프로세스의 병렬화 방법을 제안한다. 기존의 검증된 분석도구를 기반으로 프로세스의 병렬화, 데이터의 분배 및 병렬 병합 기법을 개발하였고 실험을 통해 성능을 향상 시킬 수 있음을 증명하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.19-21
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• 2012

모든 암 세포는 체세포 변이를 동반한다. 따라서 암 유전체 변이 분석에 의하여 암을 발생시키는 유전자 및 진단/치료법을 찾아낼 수 있다. 본 연구에서는 차세대 시퀀싱 데이터를 이용하여 암 특이적 단이 반복 변이(copy number variation, CNV) 유형을 밝히는 새로운 알고리즘을 제안한다. 제안하는 방식은 암 환자의 정상 세포와 암세포로부터 얻어진 정상 유전체와 암 유전체를 동시 분석하여 각각 CNV 후보 영역을 추출하며, 통계적 유의성 분석을 통하여 암 특이적 CNV 후보 영역을 선별하고, 다음 후처리 과정에서 참조 표준 서열(reference sequence)에 존재하는 오류 영역 보정 작업을 수행하여 정확한 암 특이적 CNV 영역을 추출해 낸다. 또한 다수의 대용량 유전체 데이터 동시 분석을 위하여 맵리듀스(MapReduce) 기법을 기반으로 하는 병렬 수행 알고리즘을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.663-664
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• 2020

차세대 염기서열 분석 기술은 성능과 비용 면에서 매우 향상되어 한 개체 내 여러 세포의 유전자 분석이 가능한 수준이다. 한 개체 내 여러 조직 세포의 유전자는 모두 동일하지 않기 때문에 여러 조직 세포의 Lineage 를 계층적으로 표현하고 이를 조직 세포 간 변이 정도를 파악하는 데 활용한다면 암 돌연변이 발생 등을 미리 예측할 수 있다. 본 논문은 한 개체 내 여러 조직 간 변이를 관찰하기 위해 변이 검출 데이터를 계층적 군집 방법을 이용해 분석하고 이를 시각화 하는 방법을 제안한다. 실제의 8 개 조직 세포의 유전자를 분석하고 변이를 검출하여 Dendrogram 그래프로 시각화 하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2491-2499
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• 2015

Recently, the most popular technique to determine the Genotype, genetic features of individual organisms, is the GBS based on SNP from sequences determined by NGS. As analyzing the sequences by the GBS, TASSEL is the most used program to identify the genotypes. But, TASSEL has limitation that it uses only the partial sequences that is obtained by NGS. We tried to improve the efficiency in use of the sequences in order to solve the limitation. So, we constructed new data sets by quality checking, filtering the unused sequences with error rate below 0.1% and clipping the sequences considering the location of barcode and enzyme. As a result, approximately over 17% of the SNP detection efficiency was increased. In this paper, we suggest the method and the applied programs in order to detect more SNPs by using the disused sequences.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.188-188
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• 2017

• Journal of Life Science
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• v.31 no.10
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• pp.922-928
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• 2021

To profile the microbial compositions of Korean traditional fermented paste made from whole soybeans, Doenjang and Cheonggukjang, and compare their taxonomic differences, we analyzed the V3-V4 region of 16S rRNA of naturally fermented foods by using next generation sequencing. α-Diversity results showed that values indicating bacterial community abundances (OTUs) and richness (ACE, Chao1) were statistically significant (p=0.0001) in Doenjang and Cheonggukjang. Firmicutes was the most common phylum in both groups, representing 97.02% and 99.67% in the Doenjang and Cheonggukjang groups, respectively. Bacillus was the most dominant genus, accounting for 71.70% and 59.87% in both groups. Linear discriminant (LDA) effect size (LEfSe) analysis was performed to reveal the significant ranking of abundant taxa in different fermented foods. A size-effect threshold of 2.0 on the logarithmic LDA score was used for discriminative functional biomarkers. On the species level, Bacillus subtilis, Tetragenococcus halophilus, and Clostridium arbusti were significantly more abundant in Doenjang than in Cheonggukjang, whereas Bacillus thermoamylovorans, Enterococcus faecium, and Lactobacillus sakei were significantly more abundant in Cheonggukjang than in Doenjang. Permutational multivariate analysis of variance (PERMANOVA) showed that the statistical difference in microbial clusters between the two groups was significant at the confidence level of p=0.001. This research could be used as basic research to identify the correlation between the biochemical characteristics of Korean fermented foods and the distribution of microbial communities.