• 생태와환경
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• 제48권2호
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• pp.86-94
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• 2015

Chironomous is aquatic insect belonging to order Diptera, family Chironomidae. Their larval stage can be found mainly in aquatic benthic environment, hence good model organism to study environmental toxicology assessments and consider as useful bio indicators of contamination of the aquatic environment. In this study, Chironomus Heat Shock Proteins, Cytochrome 450, Glutathione S-transferase, Serine-type endopeptidase gene expressions were compared between polluted field areas (Chironomus plumosus) and under laboratory conditions (Chironomus riparious) to investigate molecular indicators for environmental contaminant stress assessment. Heavy metal (Al, Fe, Mn, Cu, Cr, Zn, Se, Pb, As, Cd) concentrations in sediments collected from three study areas exceeded the reference values. Moreover, HSPs, CYP450 and GST gene expression except SP for C. plumosus showed higher expression than C. riparious gene expression. Similar gene expression pattern was observed in C. riparious that exposed environment waters up to 96 h when compared to C. plumosus exposed to waters that grown in lab conditions. In summary, this comparative gene expression analysis in Chironomous between field and laboratory condition gave useful information to select candidate molecular indicators in heavy metal contaminations in the environment.

• Journal of Genetic Medicine
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• 제6권1호
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• pp.1-7
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• 2009

프로모터 CpG island 과메틸화와 히스톤 변경으로 대변되는 후성유전적 변화는 거의 모든 종류의 암에서 발견되는 중요한 발암기전이다. 인간유전자의 60-70% 가량이 프로모터에 CpG islands를 가지고 있으며, 이 유전자들 중 일부가 과메틸화됨으로써 해당유전자의 발현이 차단되고, 종양억제기능이 소실되어 종양세포의 성장을 촉진하게 된다. 암에는 프로모터 CpG island 과메틸화라는 국소적 변화 이외에, 유전체 전반에 걸친 탈메틸화를 동시에 보이는 경우가 대부분인데, 이러한 유전체 저메틸화는 염색체 불안정성과 밀접한 연관관계가 있다. 국소적 과메틸화와 전반적인 저메틸화라는 이러한 상반된 DNA 메틸화 변화는 암세포뿐만 아니라 그 전단계 병변인 이 형성 병변에서도 관찰된다. 프로모터CpG island 과메틸화는 유전자 발현억제 기전으로서의 중요성뿐만 아니라 종양표지자로서의 중요성이 부각되고 있다. 즉, 정상세포에서는 관찰되지 않으면서 암세포에서만 관찰되는 프로모터 CpG island 과메틸화는 암세포의 바이오마커로서의 가치가 있으며, 이를 이용하여 체액에서 암을 진단하려는 시도들이 이루어지고, 이를 활용한 암의 분자진단방법이 개발되고 있다. 또한 이러한 DNA 메틸화는 암환자의 예후 판정이나 항암치료제의 감수성 결정 등에 활용되고 있다. 본 원고에서는 인체 암세포에서의 DNA 메틸화 변화에 관하여 소개하고자 한다.

• 대한두경부종양학회지
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• 제33권1호
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• pp.21-29
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• 2017

Methylation of CpG islands in the promoter region of genes acts as a significant mechanism of epigenetic gene silencing in head and neck squamous cell carcinoma (HNSCC). DNA methylation markers are particularly advantageous because DNA methylation is an early event in tumorigenesis, and the epigenetic modification, 5-methylcytosine, is a stable mark. In the present study, we assessed the genome-wide preliminary screening and were to identify novel methylation biomarker candidate in HNSCC. Genome-wide methylation analysis was performed on 10 HNSCC tumors using the Methylated DNA Isolation Assay (MeDIA) CpG island microarray. Validation was done using immunohistochemistry using tissue microarray of 135 independent HNSCC tumors. In addition, in vitro proliferation, migration/invasion assays, RT-PCR and immunoblotting were performed to elucidate molecular regulating mechanisms. Our preliminary validation using CpG microarray data set, immunohisto-chemistry for HNSCC tumor tissues and in vitro functional assays revealed that methylation of the Homeobox B5 (HOXB5) and H6 Family Homeobox 2 (HMX2) could be possible novel methylation biomarkers in HNSCC.

• 생명과학회지
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• 제26권6호
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• pp.705-710
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• 2016

대장암은 세계적으로 3번째로 흔한 암종이며, 암으로 인한 사망의 주요 원인이 되고 있다. 비록 다양한 진단방법이나 치료 방법이 이용되고는 있으나 병의 진행에 관여하는 분자메커니즘 이해의 부족 때문에 여전히 완전한 치료는 어려운 실정이다. 마이크로알엔에이는 단백질 정보를 코딩하고 있지 않은 작은 알엔에이 단편이다. 이러한 마이크로알엔에이는 특정 유전자의 전사과정 또는 번역과정을 조절하는 강력한 유전자 조절자로서의 기능을 가진다. 암의 발생과정에서 중요한 세포신호 전달 과정의 손상이 빈번하게 발생 하는데, 다양한 마이크로알엔에이의 이상발현이 그 원인이 되고 있다. 마이크로알엔에이-31은 암유전자의 역할을 하며 발암과정에 관여하는 다양한 유전자를 조절한다고 알려져 있다. 따라서, 본 연구에서는 대장암에서 마이크로알엔에이-31 발현의 임상적의의를 규명하고자 하였다. 175례의 대장암 조직과 16례의 정상 대장조직에서 실시간 유전자 증폭장치를 이용하여 마이크로알엔에이-31의 발현을 분석하고, 임상병리적 요인들과의 상관관계를 분석하고 임상적 유용성을 연구해 보았다. 마이크로알엔에이-31은 정상조직에 비해 대장암 조직에서 과발현이 되어 있었다. 175례 대장암 조직을 이용한 분석에서 마이크로알엔에이-31의 발현은 병기의 진행 정도에 따라 발현이 증가 되고 있었으며, 실제 마이크로알엔에이-31의 발현이 높은 대장암 환자군의 생존률이 그렇지 않은 환자군에 비해 통계적으로 유의하게 나쁜 것으로 확인 되었다. Cox 비례위험 모형과 로지스틱 회귀 모형을 이용한 분석에서 마이크로알엔에이-31의 과발현이 직접적으로 대장암 환자의 예후 및 원발전이와 연관성이 있는 것이 확인 되었다. 따라서, 이상의 연구결과를 종합해볼 때 대장암에서 과발현 된 마이크로알엔에이-31은 대장암 환자의 예후예측 및 전이예측 바이오마커로서의 활용 가능성이 높다고 볼 수 있다.

• Journal of Microbiology and Biotechnology
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• 제19권7호
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• pp.635-646
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• 2009

Rapid and accurate diagnosis of diseases is very important for appropriate treatment of patients. Recent advances in molecular-level interaction and detection technologies are upgrading the clinical diagnostics by providing new ways of diagnosis, with higher speed and accuracy. In particular, DNA microarrays can be efficiently used in clinical diagnostics which span from discovery of diseaserelevant genes to diagnosis using its biomarkers. Diagnostic DNA microarrays have been used for genotyping and determination of disease-relevant genes or agents causing diseases, mutation analysis, screening of single nucleotide polymorphisms (SNPs), detection of chromosome abnormalities, and global determination of posttranslational modification. The performance of DNA-microarray-based diagnosis is continuously improving by the integration of other tools. Thus, DNA microarrays will play a central role in clinical diagnostics and will become a gold standard method for disease diagnosis. In this paper, various applications of DNA microarrays in disease diagnosis are reviewed. Special effort was made to cover the information disclosed in the patents so that recent trends and missing applications can be revealed.

• Journal of Microbiology and Biotechnology
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• 제32권2호
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• pp.149-159
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• 2022

Cancers of the lung and liver are the top 10 leading causes of cancer death worldwide. Thus, it is essential to identify the genes specifically expressed in these two cancer types to develop new therapeutics. Although many messenger RNA (mRNA) sequencing data related to these cancer cells are available due to the advancement of next-generation sequencing (NGS) technologies, optimized data processing methods need to be developed to identify the novel cancer-specific genes. Here, we conducted an analytical comparison between Bowtie2, a Burrows-Wheeler transform-based alignment tool, and Kallisto, which adopts pseudo alignment based on a transcriptome de Bruijn graph using mRNA sequencing data on normal cells and lung/liver cancer tissues. Before using cancer data, simulated mRNA sequencing reads were generated, and the high Transcripts Per Million (TPM) values were compared. mRNA sequencing reads data on lung/liver cancer cells were also extracted and quantified. While Kallisto could directly give the output in TPM values, Bowtie2 provided the counts. Thus, TPM values were calculated by processing the Sequence Alignment Map (SAM) file in R using package Rsubread and subsequently in python. The analysis of the simulated sequencing data revealed that Kallisto could detect more transcripts and had a higher overlap over Bowtie2. The evaluation of these two data processing methods using the known lung cancer biomarkers concludes that in standard settings without any dedicated quality control, Kallisto is more effective at producing faster and more accurate results than Bowtie2. Such conclusions were also drawn and confirmed with the known biomarkers specific to liver cancer.

• Journal of Ginseng Research
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• 제48권1호
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• pp.40-51
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• 2024

Background: Ginsenoside 20(S)-Rg3 shows promising tumor-suppressive effects in ovarian cancer via inhibiting NF-kB signaling. This study aimed to explore the downstream tumor suppressive mechanisms of ginsenoside Rg3 via this signaling pathway. Materials and methods: A systematical screening was applied to examine the expression profile of 41 kinesin family member genes in ovarian cancer. The regulatory effect of ginsenoside Rg3 on KIF20A expression was studied. In addition, we explored interacting proteins of KIF20A and their molecular regulations in ovarian cancer. RNA-seq data from The Cancer Genome Atlas (TCGA) was used for bioinformatic analysis. Epithelial ovarian cancer cell lines SKOV3 and A2780 were used as in vitro and in vivo cell models. Commercial human ovarian cancer tissue arrays were used for immunohistochemistry staining. Results: KIF20A is a biomarker of poor prognosis among the kinesin genes. It promotes ovarian cancer cell growth in vitro and in vivo. Ginsenoside Rg3 can suppress the transcription of KIF20A. GST pull-down and co-immunoprecipitation (IP) assays confirmed that KIF20A physically interacts with BTRC (β-TrCP1), a substrate recognition subunit for SCF^β-TrCP E3 ubiquitin ligase. In vitro ubiquitination and cycloheximide (CHX) chase assays showed that via interacting with BTRC, KIF20A reduces BTRC-mediated CDC25A poly-ubiquitination and enhances its stability. Ginsenoside Rg3 treatment partly abrogates KIF20A overexpression-induced CDC25A upregulation. Conclusion: This study revealed a novel anti-tumor mechanism of ginsenoside Rg3. It can inhibit KIF20A transcription and promote CDC25A proteasomal degradation in epithelial ovarian cancer.

• Journal of Microbiology and Biotechnology
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• 제34권5호
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• pp.1164-1177
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• 2024

Esophageal squamous cell carcinoma (ESCC) is among the most common malignant tumors of the digestive tract, with the sixth highest fatality rate worldwide. The ESCC-related dataset, GSE20347, was downloaded from the Gene Expression Omnibus (GEO) database, and weighted gene co-expression network analysis was performed to identify genes that are highly correlated with ESCC. A total of 91 transcriptome expression profiles and their corresponding clinical information were obtained from The Cancer Genome Atlas database. A mitochondria-associated risk (MAR) model was constructed using the least absolute shrinkage and selection operator Cox regression analysis and validated using GSE161533. The tumor microenvironment and drug sensitivity were explored using the MAR model. Finally, in vitro experiments were performed to analyze the effects of hub genes on the proliferation and invasion abilities of ESCC cells. To confirm the predictive ability of the MAR model, we constructed a prognostic model and assessed its predictive accuracy. The MAR model revealed substantial differences in immune infiltration and tumor microenvironment characteristics between high- and low-risk populations and a substantial correlation between the risk scores and some common immunological checkpoints. AZD1332 and AZD7762 were more effective for patients in the low-risk group, whereas Entinostat, Nilotinib, Ruxolutinib, and Wnt.c59 were more effective for patients in the high-risk group. Knockdown of TYMS significantly inhibited the proliferation and invasive ability of ESCC cells in vitro. Overall, our MAR model provides stable and reliable results and may be used as a prognostic biomarker for personalized treatment of patients with ESCC.

• 한국식품영양과학회:학술대회논문집
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• 한국식품영양과학회 2004년도 Annual Meeting and International Symposium
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• pp.271-274
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• 2004

Nutritional genomics is a new field of study of how nutrition interacts with an individual's genome or individual responds to individual diets. Systematic approach of nutritional genomics will likely provide important clues about responders and non-responders. The current interest in personalizing health stems from the breakthroughs emerging in integrative technologies of genomics and epigenomics and the identification of genetic and epigentic diversity in individual's genetic make-up that are associated with variations in many aspects of health, including diet-related diseases. Microarray is a powerful screen system that is being also currently employed in nutritional research. Monitoring of gene expression at genome level is now possible with this technology, which allows the simultaneous assessment of the transcription of tens of thousands of genes and of their relative expression of pathological cells such tumor cells compared with that of normal cells. Epigenetic events such as DNA methylation can result in change of gene expression without involving changes in gene sequence. Recent developed technology of DNAarray-based methylation assay will facilitate wide study of epigenetic process in nutrigenomics. Some of the areas that would benefitfrom these technologies include identifying molecular targets (Biomarkers) for the risk and benefit assessment. These characterized biomarkers can reflect expose, response, and susceptibility to foods and their components. Furthermore the identified new biomarker perhaps can be utilized as a indicator of delivery system fur optimizing health.

• Asian Pacific Journal of Cancer Prevention
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• 제13권8호
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• pp.3899-3903
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• 2012

B7-H3 is a newly discovered member of the B7/CD28 superfamily which functions as an important T-cell immune molecule. It has been reported recently that B7-H3 is highly expressed in many cancer cells, the data indicating that it may be a regulation factor contributing to tumor-resistance. In our study, we used bioinformatics to identify differentially expressed genes between colonic cancer cells and normal colonic cells, aiming to analyze mechanisms and identify sub-pathways closely related to progression, with the final aim of finding small molecule drugs which might interfere this progression. We found that ajmaline is one related factor which may enhance self-immunity in colon carcinoma therapy and B7-H3 plays important roles with regard to immunoreactions of colonic cancer cells. All the results indicate that H7-B3 is a favorable prognostic biomarker for colon carcinomas, providing novel information regarding likely targets for intervention.