• Asian Pacific Journal of Cancer Prevention
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• 제15권5호
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• pp.2013-2020
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• 2014

Background: The aldehyde dehydrogenase 1 family member A1 (ALDH1A1) is one of the promising markers for identifying cancer stem cells in many cancer types, along with other markers including CD44. The aim of the present study was to evaluate the expression and clinical significance of putative cancer stem cell markers, CD44 and ALDH1A1, in a series of urothelial carcinomas of urinary bladder (UCUB) by tissue microarray (TMA). Materials and Methods: A total of 159 Urothelial Carcinomas (UC) including 96 (60%) low grade and 63 (40%) high grade carcinomas were immunohistochemically examined for the expression of CD44 and ALDH1A1. Correlations of the relative expression of these markers with clinicopathological parameters were also assessed. Results: High level expression of ALDH1A1 was found in 16% (25/159) of bladder UC which was significantly correlated with increased tumor size (p value=0.002), high grade (p value<0.001), pathologic stage (T1, p value=0.007 and T2, p value<0.001) and increased rate of recurrence (p value=0.013). A high level of CD44 expression was found in 43% (68/159) of cases, being positively correlated with histologic grade (p value=0.032) and recurrence (p value=0.039). Conclusions: Taken together, our results showed that ALDH1 was concurrently expressed in a fraction of CD44+ tumors and its expression correlated with poor prognosis in UCs. ALDH1A1 could be an ideal marker for targeted therapy of UCs in combination with conventional therapies, particularly in patients with high grade carcinomas. These findings indicate that cells expressing ALDH1A1 along with CD44 can be a potential therapeutic target in bladder carcinomas.

• 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.

• Biotechnology and Bioprocess Engineering:BBE
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• 제9권2호
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• pp.69-75
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• 2004

In recent years, the importance of proteomic works, such as protein expression, detection and identification, has grown in the fields of proteomic and diagnostic research. This is because complete genome sequences of humans, and other organisms, progress as cellular processing and controlling are performed by proteins as well as DNA or RNA. However, conventional I protein analyses are time-consuming; therefore, high throughput protein analysis methods, which allow fast, direct and quantitative detection, are needed. These are so-called protein microarrays or protein chips, which have been developed to fulfill the need for high-throughput protein analyses. Although protein arrays are still in their infancy, technical development in immobilizing proteins in their native conformation on arrays, and the development of more sensitive detection methods, will facilitate the rapid deployment of protein arrays as high-throughput protein assay tools in proteomics and diagnostics. This review summarizes the basic technologies that are needed in the fabrication of protein arrays and their recent applications.

• 유전체소식지
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• 제5권4호
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• pp.9-16
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• 2005

Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic expression data transforms the challenges m biomedical research into ones in bioinformatics. Clinical informatics has long developed technologies to imp개ve biomedical research by integrating experimental and clinical information systems. Biomedical informatics, powered by high throughput techniques, genomic-scale databases and advanced clinical information system, is likely to transform our biomedical understanding forever much the same way that biochemistry did to biology a generation ago. The emergence of healthcare and biomedical informatics revolutionizing both bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics and prognostics.

• Communications for Statistical Applications and Methods
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• 제25권3호
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• pp.307-319
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• 2018

High-throughput technologies enable the simultaneous evaluation of thousands of genes that could discriminate different subclasses of complex diseases. Ranking genes according to differential expression is an important screening step for follow-up analysis. Many statistical measures have been proposed for this purpose. A good ranked list should provide a stable rank (at least for top-ranked gene), and the top ranked genes should have a high power in differentiating different disease status. However, there is a lack of emphasis in the literature on ranking genes based on these two criteria simultaneously. To achieve the above two criteria simultaneously, we proposed to apply a previously reported metric, the modified area under the receiver operating characteristic cure, to gene ranking. The proposed ranking method is found to be promising in leading to a stable ranking list and good prediction performances of top ranked genes. The findings are illustrated through studies on both synthesized data and real microarray gene expression data. The proposed method is recommended for ranking genes or other biomarkers for high-dimensional omics studies.

• Genomics & Informatics
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• 제11권4호
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• pp.200-210
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• 2013

Studying biological networks, such as protein-protein interactions, is key to understanding complex biological activities. Various types of large-scale biological datasets have been collected and analyzed with high-throughput technologies, including DNA microarray, next-generation sequencing, and the two-hybrid screening system, for this purpose. In this review, we focus on network-based approaches that help in understanding biological systems and identifying biological functions. Accordingly, this paper covers two major topics in network biology: reconstruction of gene regulatory networks and network-based applications, including protein function prediction, disease gene prioritization, and network-based genome-wide association study.

• 한국콘텐츠학회논문지
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• 제22권2호
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• pp.762-769
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• 2022

산전 진단에서 유전자 검사는 임상 관리 및 부모의 의사 결정에 중요한 정보를 제공하고 있다. 지난 여러 해 동안 G-banidng 핵형 분석, 형광성 제자리 교잡 방법, 염색체 마이크로어레이 및 유전자 패널과 같은 세포유전학적 검사 방법들이 일반적인 산전 진단의 검사의 일부가 되어 발전해 왔다. 그러나 이러한 각각의 방법은 한계를 가지고 있으며 각각의 진단 기술의 단점들을 보완할 수 있는 혁신적인 검사 방법의 도입의 필요성이 매우 필요한 시점이다. 최근 차세대 염기서열 분석에 기반한 유전체 분석 방법의 도입은 현재의 산전 진단에서의 관행에 많은 변화를 주고 있다. 이렇게 산전 진단에서의 유전체 단위의 염기서열 분석은 정교한 해상도와 높은 정확도를 통해 데이터를 빠르게 분석하고 비용을 감소시키는 기술의 혁신을 보여주고 있다. 따라서 본 논문에서는 시퀀싱 기반 산전 진단의 현재 상태와 관련 과제 및 미래 전망에 대하여 검토해 보았다.

• 한국식품위생안전성학회지
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• 제25권4호
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• pp.376-387
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• 2010

식품으로부터 식중독세균을 검출하는 대부분의 전통적인 방법들은 분리하고자 하는 미생물에 적합한 선택배지에 의존할 수밖에 없다. 이러한 선택배지들은 높은 경제성에도 불구하고 오래 걸려 때를 놓치게 되는 소요 시간이 항상 걸림돌로 작용하고 있으며, 하나의 선택배지로 한의 균만을 선택적으로 분리해 내는 등의 단점이 있다. 이러한 단점을 최소화하기 위하여 IMS 등 면역학적 또는 분자생물학적 기법들을 접목시키고 있고, 증균에서 분리와 확인을 동시에 할 수 있는 package 형태의 제품들이 시판되고 있다. 또한 이러한 제품 중 일부는 국제표준기구로부터 인증을 받았고 대부분 chromogenic 기질을 함유한 선택배지들이 포함되어 있을 만큼 신뢰도가 높다고 할 수 있다. 그러나 선택배지 자체만은 이들 단점을 해결할 수 없어 항체를 활용한 신속, 간편하고 환경친화적인 ELISA법, 검출장비가 불필요하여 가장 신속, 간편하게 현장에서 사용하도록 기술을 향상시킨 paper-strip kit나 ELISA 분석 시 직면하는 시료의 matrix effect를 최소화할 수 있다는 장점을 지닌 형광면역분석법(fluoroimmunoassay)등 새로운 기술이 용도에 맞게 다양하게 개발되고 있다. 또한 동시진단 능력이 우수한 현장 진단형 시스템이 개발될 경우, 향후 신 시장 창출, 바이오칩 기술발전, 식중독균을 포함한 위해 미생물의 동시진단 및 역학조사 등에 지대한 기여를 할 것으로 판단된다. 식품에서 식품위해미생물 검출에 있어서 가장 이상적인 방법은 검출 과정이 간단하고 경제적이며 정확하여야 한다는 것이다. 또한 정량적 결과 산출이 가능하여야 하고, 자동화된 방법으로 전환이 가능하여야 산업에 적용될 수 있다는 것인데, 이러한 이상적인 검출방법은 현재까지 존재하지 않는다. 다만, 여러 방법들이 각각의 장점을 갖고 있을 뿐이다. 즉, 현실적 대안은 현재까지 개발된 각각의 방법을 목적과 대상에 따라 시의적절하게 병용 사용하여야 한다는 것이다.

• Journal of Plant Biotechnology
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• 제37권2호
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• pp.166-173
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• 2010

식물생명공학 분야에 있어 기능유전체 연구는 식물체가 지니고 있는 유용한 유전자의 생물학적 기능을 밝히고, 농업적 유용성을 확보하여 가치를 부여하는 것을 목적으로 한다. 배추는 우리나라 대표 음식 중의 하나인 김치의 주원료이며 식품영양학적으로도 우수성이 인정되었고 약 5만 ha에서 연간 약 250만 톤이 생산되어 1조원의 국내 시장 및 1억 달러의 수출액을 기록하는 경제작물이다. 그리고 우리나라가 주요 종자수출국의 위치를 차지하고 있어 재배에 있어서나 경제적, 상업적으로 그 중요성이 매우 높은 작물이다. Multinational Brassica Genome Project (MBGP)가 시작되고 배추와 같은 속에 속하는 애기장대의 전 염기서열 분석이 완료됨으로써 배추의 기능유전체 연구가 더욱 활발해 질 수 있는 환경이 마련되었다. 또한 유전자 기능 분석 연구에 필요한 새로운 기술들이 계속 개발되고 있으며 우리나라를 선두로 하여 국제적으로도 연구가 이루어져 해마다 많은 성과들이 보고되고 있다. 본 총설에서는 기능유전체 연구의 첫 단계인 배추 돌연변이체 유기 방법을 시작으로 다양한 표현형의 돌연변이체를 소개하고 이 돌연변이 배추의 게놈내 flanking DNA 분석 및 유전자 동정, microarray를 이용한 유전자 분석, 대표적인 기능유전체 연구 사례를 제시하고자 하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권19호
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• pp.8161-8169
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• 2014

Background: Cancer stem cells (CSC) are populations of cells responsible for tumor initiation, progression and therapeutic resistance in many cancers. In the present study, we aimed to investigate the expression pattern and clinical significance of two CSC markers, CD133 and Nestin, in a series of skin tumors. Materials and Methods: One hundred and thirteen paraffin blocks from skin cancers including 16 (14%) cases of melanoma, 37 (33%) of squamous cell cancer (SCC) and 60 (53%) of basal cell cancer (BCC) were collected and assembled in a tissue microarray (TMA). The samples were immunohistochemically examined for the expression of CD133 and Nestin. Expression of these markers was also correlated with clinicopathological parameters. Results: A significant difference was observed in the expression of CD133 and Nestin in melanomas, SCC and BCC (p value=0.001). Furthermore, the level of expression was significantly higher in the melanomas compared to the SCC and BCC tumors. Expression of CD133 in the melanoma was significantly associated with increased tumor invasiveness (p value=0.05), a higher rate of metastasis (p value=0.04) and the presence of ulceration (p value=0.02). Increased expression of Nestin was observed in metastatic melanoma (p value=0.04), while no statistically significant correlation was found with other clinicopathological parameters including Breslow thickness, Clark level and ulceration. Conclusions: Elevated expression levels of CD133 and Nestin in the melanomas are associated with advanced disease, with more aggressive and metastatic skin tumors. Therefore, these markers could be potential therapeutic targets for malignant tumors of the skin.