• Electronics and Telecommunications Trends
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• v.14 no.4 s.58
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• pp.133-134
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• 1999

MiDAS/IR 은 자료 저장 관리 시스템인 MiDAS-III 를 기반으로 하여 한글 전문 정보검색을 지원하는 시스템이다. 대부분의 정보검색 시스템은 자료를 상용 DBMS 또는 자료 저장 관리 시스템에 저장하고 정보검색 색인은 별도의 파일에 저장하여 관리하는 형태를 갖추고 있는데 반하여, MiDAS/IR은 MiDAS-III 와 정보검색기를 밀결합(Tightly coupled)시켜 자료는 물론 정보 검색 색인이 모두 하나의 저장소(MiDAS-III)에서 관리된다. 따라서 MiDAS/IR 은 정보검색 질의와 일반 데이터베이스 질의가 하나로 통합됨으로써 응용 프로그램의 작성이 쉽고 빠른 장점을 가지고 있다.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.8893-8900
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• 2014

Dysregulated expression of microRNAs (miRNAs) has been shown to be closely associated with tumor development, progression, and carcinogenesis. However, their clinical implications for gastric cancer remain elusive. To investigate the hypothesis that genome-wide alternations of miRNAs differentiate gastric cancer tissues from those matched adjacent non-tumor tissues (ANTTs), miRNA arrays were employed to examine miRNA expression profiles for the 5-pair discovery stage, and the quantitative real-time polymerase chain reaction (qRTPCR) was applied to validate candidate miRNAs for 48-pair validation stage. Furthermore, the relationship between altered miRNA and clinicopathological features and prognosis of gastric cancer was explored. Among a total of 1,146 miRNAs analyzed, 16 miRNAs were found to be significantly different expressed in tissues from gastric cancer compared to ANTTs (p<0.05). qRT-PCR further confirmed the variation in expression of miR-193b and miR-196a in the validation stage. Down-expression of miR-193b was significantly correlated with Lauren type, differentiation, UICC stage, invasion, and metastasis of gastric cancer (p<0.05), while over-expression of miR-196a was significantly associated with poor differentiation (p=0.022). Moreover, binary logistic regression analysis demonstrated that the UICC stage was a significant risk factor for down-expression of miR-193b (adjusted OR=8.69; 95%CI=1.06-56.91; p=0.043). Additionally, Kaplan-Meier survival curves indicated that patients with a high fold-change of down-regulated miR-193b had a significantly shorter survival time (n=19; median survival=29 months) compared to patients with a low fold-change of down-regulated miR-193b (n=29; median survival=54 months) (p=0.001). Overall survival time of patients with a low fold-change of up-regulated miR-196a (n=27; median survival=52 months) was significantly longer than that of patients with a high fold-change of up-regulated miR-196a (n=21; median survival=46 months) (p=0.003). Hence, miR-193b and miR-196a may be applied as novel and promising prognostic markers in gastric cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4675-4678
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• 2013

The aim of this study was to detect the expression of miR196a, miR146a, miR27a and miR200a in patients with colon cancer, and investigate the effect of miR27a expression on proliferation and invasion in colonic cancer cells. RT-PCR was employed to detect the expression levels in colon cancers. Then, colon cancer cells were cultured and transfected with 100 nM of miR27a mimics (80 nmol/L) or 80 nM miR27a inhibitors (80 nmol/L) in 24-well plates. Proliferation and invasion of colonic cancer cells were then determined by CCK-8 and Transwell assays, respectively. Our data showed miR27a to be high-expressed in patients with colon cancer. In addition, proliferation and invasion in the miR27a mimic group were significantly higher than in the control group and negative group (P<0.05), while, proliferation and invasion in the miR27a inhibitor group were obviously lowered (P<0.05). In conclusion, high expression of miR27a may play an important role in enhancing proliferation and invasion of colon cancer cells.

• BMB Reports
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• v.50 no.4
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• pp.226-231
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• 2017

At the post-transcriptional and translational levels, microRNA (miRNA) represses protein-coding genes via seed pairing to the 3' untranslated regions (UTRs) of mRNA. Although working models of miRNA-mediated gene silencing are successfully established using miRNA transfections and knockouts, the regulatory interaction between miRNA and long non-coding RNA (lncRNA) remain unknown. In particular, how the mRNA-resembling lncRNAs with 5' cap, 3' poly(A)-tail, or coding features, are regulated by miRNA is yet to be examined. We therefore investigated the functional interaction between miRNAs and lncRNAs with/without those features, in miRNA-transfected early zebrafish embryos. We observed that the greatest determinants of the miRNA-mediated silencing of lncRNAs were the 5' cap and 3' poly(A)-tails in lncRNAs, at both the post-transcriptional and translational levels. The lncRNAs confirmed to contain 5' cap, 3' poly(A)-tail, and the canonical miRNA target sites, were observed to be repressed in the level of both RNA and ribosome-protected fragment, while those with the miRNA target sites and without 5' cap and 3' poly(A)-tail, were not robustly repressed by miRNA introduction, thus suggesting a role as a miRNA-decoy.

• Biomedical Science Letters
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• v.25 no.2
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• pp.185-189
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• 2019

Breast cancer is the second most common cancer in women with approximately 522,000 deaths annually worldwide. microRNAs have recently been studied as potential biomarkers that regulate gene expression and are involved in tumorigenesis. Here we evaluated circulating miR-221 and miR-222 as potential biomarkers for breast cancer by quantitative reverse transcription PCR using blood plasma of 30 healthy controls and 30 breast cancer patients. The TNM stage on circulating miR-221 and miR-222 was also investigated. Circulating miR-221 and miR-222 were significantly up-regulated in breast cancer patients compared to those in healthy controls (P < 0.0022 and P = 0.0058, respectively). Furthermore, the relative expression level of circulating miR-221 in patients with stage III breast cancer was higher than in those with stage I and II. Taken together, we have shown circulating miR-221 and miR-222 could be useful biomarkers for the screening of breast cancer patients.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7575-7581
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• 2014

MicroRNAs (miRNAs) play an essential role in the development and progression of nasopharyngeal carcinomas (NPC). Despite advances in the field of cancer molecular biology and biomarker discovery, the development of clinically validated biomarkers for primary NPC has remained elusive. In this study, we investigated the expression and clinical significance of miRNAs as novel primary NPC diagnostic biomarkers. We used an array containing 2, 500 miRNAs to identify 22 significant miRNAs, and these candidate miRNAs were validated using 67 fresh NPC and 25 normal control tissues via quantitative real-time PCR (qRT-PCR). Expression and correlation analyses were performed with various statistical approaches, in addition to logistic regression and receiver operating characteristic curve analyses to evaluate diagnostic efficacy. qRT-PCR revealed five differentially expressed miRNAs (miR-93-5p, miR-135b-5p, miR-205-5p and miR-183-5p) in NPC tissue samples relative to control samples (p<0.05), with miR-135b-5p and miR-205-5p being of significant diagnostic value (p<0.01). Moreover, comparison of NPC patient clinicopathologic data revealed a negative correlation between miR-93-5p and miR-183-5p expression levels and lymph node status (p<0.05). These findings display an altered expression of many miRNAs in NPC tissues, thus providing information pertinent to pathophysiological and diagnostic research. Ultimately, miR-135b-5p and miR-205-5p may be implicated as novel NPC candidate biomarkers, while miR-93-5p, miR-650 and miR-183-5p may find application as relevant clinical pathology and diagnostic candidate biomarkers.

• Journal of KIISE:Software and Applications
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• v.35 no.6
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• pp.347-356
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• 2008

High-throughput microarray is one of the most popular tools in molecular biology, and various computational methods have been developed for the microarray data analysis. While the computational methods easily extract significant features, it suffers from inferring modules of multiple co-regulated genes. Hypernetworhs are motivated by biological networks, which handle all elements based on their combinatorial processes. Hence, the hypernetworks can naturally analyze the biological effects of gene combinations. In this paper, we introduce a hypernetwork classifier for microRNA (miRNA) profile analysis based on microarray data. The hypernetwork classifier uses miRNA pairs as elements, and an evolutionary learning is performed to model the microarray profiles. miTNA modules are easily extracted from the hypernetworks, and users can directly evaluate if the miRNA modules are significant. For experimental results, the hypernetwork classifier showed 91.46% accuracy for miRNA expression profiles on multiple human canters, which outperformed other machine learning methods. The hypernetwork-based analysis showed that our approach could find biologically significant miRNA modules.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3881-3885
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• 2016

Background: MicroRNAs (miRNAs) have fundamental roles in tumorigenesis. MiR-675 is upregulated in hepatocellular carcinoma(HCC) cells. However, the roles of miR-675 in hepatocellular carcinogenesis are still not fully elucidated. In this study, we focus on investigating the effect and mechanism of miR-675 in proliferation of HCC cells. Materials and Methods: The cell proliferation was measured by MTT assays after transfection with miR-675 inhibitor and miR-675 mimics in HCC cells. The expression level of miR-675 was detected by real-time quantitative reverse transcription polymerase chain reaction. Protein expression of Cdc25A was measured by western blotting analysis. Results: In MTT assays, overexpression of miR-675 promoted the proliferation of HCC cells(P<0.05. at 48 hours, P<0.01. at 72 hours) compared with the miR-675mimics control group. Downexpression of miR-675 inhibited the proliferation of HCC cells(P<0.05. at 48 hours, P<0.01. at 72 hours) compared with the miR-675inhibitor control group. In western blotting analysis, the expression level of Cdc25A was significantly increased (p<0.05) after treatment with miR-675 mimics. The expression level of Cdc25A was significantly decreased (p<0.05) after treatment with miR-675 inhibitor. Conclusions: Our results indicate that miR-675 promotes the proliferation in human hepatocellular carcinoma cells by associating with Cdc25A signaling pathway.

• Molecular & Cellular Toxicology
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• v.5 no.1
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• pp.67-74
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• 2009

Exposures to environmental chemicals that mimic endogenous hormones are proposed for a number of adverse health effects, including infertility, abnormal prenatal and childhood development and above all cancers. In addition, recently miRNA (micro RNA) has been recognized to play an important role in various diseases and in cellular and molecular responses to toxicants. In this study, endocrine disrupting environmental toxicant, nonylphenol (NP) was treated to MCF-7 (Human breast cancer cell) and HepG2 (Human hepatocellular liver carcinoma) cell line at 3 hrs and 48 hrs time point and miRNA analysis using $mirVana^{TM}$ miRNA bioarray was performed and compared with total mRNA microarray data for the same cell line and treatment. Robust data quality was achieved through the use of dye-swap. Analysis of microarray data identifies a total of 20 and 11 miRNA expressions at 3 hrs and 48 hrs exposure to NP in MCF-7 cell line and a total of 14 and 47 miRNA expression at 3 hrs and 48 hrs exposure respectively to NP in HepG2 cell line. Expression profiling of the selected miRNA (let-7c, miR-16, miR-195, miR-200b, miR200c, miR-205, and miR-589) reveals changes in the expression of target genes related to metabolism, immune response, apoptosis, and cell differentiation. The present study can be informative and helpful to understand the role of miRNA in molecular mechanism of chemical toxicity and their influence on hormone dependent disease. Also this study may prove to be a valuable tool for screening potential estrogen mimicking pollutants in the environment.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.765-768
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• 2013

Background and Aims: Prostate cancer is the most commonly diagnosed cancer in males in many populations. Metformin is the most widely used anti-diabetic drug in the world, and there is increasing evidence of a potential efficacy of this agent as an anti-cancer drug. Metformin inhibits the proliferation of a range of cancer cells including prostate, colon, breast, ovarian, and glioma lines. MicroRNAs (miRNAs) are a class of small, non-coding, single-stranded RNAs that downregulate gene expression. We aimed to evaluate the effects of metformin treatment on changes in miRNA expression in PC-3 cells, and possible associations with biological behaviour. Materials and Methods: Average cell viability and cytotoxic effects of metformin were investigated at 24 hour intervals for three days using the xCELLigence system. The $IC_{50}$ dose of metformin in the PC-3 cells was found to be 5 mM. RNA samples were used for analysis using custom multi-species microarrays containing 1209 probes covering 1221 human mature microRNAs present in miRBase 16.0 database. Results: Among the human miRNAs investigated by the arrays, 10 miRNAs were up-regulated and 12 miRNAs were down-regulated in the metformin-treated group as compared to the control group. In conclusion, expression changes in miRNAs of miR-146a, miR-100, miR-425, miR-193a-3p and, miR-106b in metformin-treated cells may be important. This study may emphasize a new role of metformin on the regulation of miRNAs in prostate cancer.