• Genomics & Informatics
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• v.9 no.1
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• pp.39-43
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• 2011

MicroRNAs (miRNAs) are recently discovered small RNA molecules usually resulting in translational repression and gene silencing. Despite the fact that specific cloning of small RNA's is a method in practice, computational identification of miRNA's has been a major focus recent days, since is a rapid process following AB initio and sequence alignment methods. Here we developed new software called MiRPI that aims to identify the highly conserved miRNAs without any mismatches from given fasta formatted gene sequences by using non-repeated miRNA dataset of the user's interest. The new window embedded with the software is used to identify the targets for inputted mature miRNAs in the mRNA sequences. Also MiRPI is designed to measure the precursor miRNA statistics, majorly focusing the Adjusted Minimum Folding free Energy (AMFE) and Minimum Folding free Energy Index (MFEI), the most important parameters in miRNA confirmation. MiRPI is developed by PERL (Practical Extraction and Report Language) and Tk (Tool kit widgets) scripting languages. It is user friendly, portable offline software that works in all windows OS, sized to 3 MB.

• 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.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.341-342
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• 2011

선행연구에서 우리는 암과 관련된 단백질-단백질 상호작용 네트워크와 단백질-질병 네트워크를 통해서 핵심 단백질 60개를 추출했다. 이 단백질들을 조절하여 암을 제어하기 위한 방법으로 miRNA(microRNA)를 이용하기위해 단백질과 상호작용하는 miRNA와 miRNA 서열정보를 추출하였다. 한 단백질과 상호작용하는 miRNA의 수가 많았기 때문에 각각의 miRNA에 대해 우선순위를 주어서 가중치를 부여했는데, 기준으로는 miRNA 서열길이, 수소결합 수 등으로 잡아주었다. 이 방법을 사용함으로써 밝혀지지 않은 단백질과 miRNA의 상호작용 서열을 찾는데 이용가능 할 것이다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.36-40
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• 2007

miRNA 유전체학의 중요한 이슈로 miRNA가 조절하는 목표 유전자를 예측하는 작업과 miRNA가 목표 유전자를 조절하는 메커니즘이 무엇인지 규명하는 것을 들 수 있다. 본 논문에서는 생물학적 특징들과 다층 퍼셉트론 신경망을 이용하여 miRNA의 목표 유전자를 예측하고 해당 miRNA 조절 메커니즘 타입을 분별해주는 시스템을 제안하고 실제 데이터를 사용하여 그 성능을 평가한다. 실험적으로 검증된 데이터를 사용하여 제안 시스템을 평가해본 결과, 다층 퍼셉트론 신경망을 사용할 경우 84.63%의 정확도로 miRNA의 목표 유전자를 예측할 수 있었고, 87.90%의 정확도로 miRNA가 목표 유전자를 조절하는 메커니즘을 분별할 수 있었다. 학습 데이터가 충분히 많아진다면 제안 시스템의 예측 성능은 더욱 높아질 것으로 예상된다.

• Molecules and Cells
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• v.28 no.4
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• pp.341-345
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• 2009

MiRNAs are non-coding RNAs that play a role in the regulation of major processes. The inhibition of miRNAs using antisense oligonucleotides (ASOs) is a unique and effective technique for the characterization and subsequent therapeutic targeting of miRNA function. Recent advances in ASO chemistry have been used to increase both the resistance to nucleases and the target affinity and specificity of these ASOs. Peptide nucleic acids (PNAs) are artificial oligonucleotides constructed on a peptide-like backbone. PNAs have a stronger affinity and greater specificity to DNA or RNA than natural nucleic acids and are resistant to nucleases, which is an essential characteristic for a miRNA inhibitor that will be exposed to serum and cellular nucleases. For increasing cell penetration, PNAs were conjugated with cell penetrating peptides (CPPs) at N-terminal. Among the tested CPPs, Tat-modified peptide-conjugated PNAs have most effective function for miRNA inhibition. PNA-based ASO was more effective miRNA inhibitor than other DNA-based ASOs and did not show cytotoxicity at concentration up to 1,000 nM. The effects of PNA-based ASOs were shown to persist for 9 days. Also, PNA-based ASOs showed considerable stability at storage temperature. These results suggest that PNA-based ASOs are more effective ASOs of miRNA than DNA-based ASOs and PNA-based ASO technology, compared with other technologies used to inhibit miRNA activity can be an effective tool for investigating miRNA functions.

• Journal of Life Science
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• v.29 no.1
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• pp.118-122
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• 2019

Oxytocin (Oxt) and vasopressin (Avp) are mainly synthesized in neuronal cells of the hypothalamus and are released from the posterior pituitary. The structure and sequences of Oxt and Avp genes imply that they are closely related and that they are the result of a duplication event during evolution. A previous study suggested that a small regulatory microRNA (miRNA), miR-24, regulated Oxt after binding. However, it is not clear whether this miRNA can modulate Avp simultaneously. The aim of the present study was to investigate putative targeting miRNAs of Avp, including miR-24. Targeted candidate miRNA oligonucleotides were transfected into COS-7 cells to elucidate the binding activity of miRNAs and Avp using dual-luciferase assays. The luciferase assay showed that only miR-24 displayed elevated binding activity with Avp as compared to a control and other candidate miRNAs. Transfection with seed mutants of Avp and miR-24 inhibitors clearly showed that miR-24 can directly bind to the Avp gene. These results provide new insight into the regulatory mechanism of neurohypophysial hormones by a single miRNA.

• Molecules and Cells
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• v.42 no.5
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• pp.397-405
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• 2019

The regulatory role of long noncoding RNA (lncRNA) growth arrest-specific transcript 5 (GAS5) in both cancerous and noncancerous cells have been widely reported. This study aimed to evaluate the role of lncRNA GAS5 in heart failure caused by myocardial infarction. We reported that silence of lncRNA GAS5 attenuated hypoxia-triggered cell death, as cell viability was increased and apoptosis rate was decreased. This phenomenon was coupled with the down-regulated expression of p53, Bax and cleaved caspase-3, as well as the up-regulated expression of CyclinD1, CDK4 and Bcl-2. At the meantime, the expression of four heart failure-related miR-NAs was altered when lncRNA GAS5 was silenced (miR-21 and miR-142-5p were up-regulated; miR-30b and miR-93 were down-regulated). RNA immunoprecipitation assay results showed that lncRNA GAS5 worked as a molecular sponge for miR-142-5p. More interestingly, the protective actions of lncRNA GAS5 silence on hypoxia-stimulated cells were attenuated by miR-142-5p suppression. Besides, TP53INP1 was a target gene for miR-142-5p. Silence of lncRNA GAS5 promoted the activation of PI3K/AKT and MEK/ERK signaling pathways in a miR-142-5p-dependent manner. Collectively, this study demonstrated that silence of lncRNA GAS5 protected H9c2 cells against hypoxia-induced injury possibly via sponging miR-142-5p, functionally releasing TP53INP1 mRNA transcripts that are normally targeted by miR-142-5p.

• Genomics & Informatics
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• v.19 no.2
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• pp.17.1-17.13
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• 2021

Breast cancer is one of the leading causes of cancer in women all over the world and accounts for ~25% of newly observed cancers in women. Epigenetic modifications influence differential expression of genes through non-coding RNA and play a crucial role in cancer regulation. In the present study, epigenetic regulation of gene expression by in-silico analysis of histone modifications using chromatin immunoprecipitation sequencing (ChIP-Seq) has been carried out. Histone modification data of H3K4me3 from one normal-like and four breast cancer cell lines were used to predict miRNA expression at the promoter level. Predicted miRNA promoters (based on ChIP-Seq) were used as a probe to identify gene targets. Five triple-negative breast cancer (TNBC)-specific miRNAs (miR153-1, miR4767, miR4487, miR6720, and miR-LET7I) were identified and corresponding 13 gene targets were predicted. Eight miRNA promoter peaks were predicted to be differentially expressed in at least three breast cancer cell lines (miR4512, miR6791, miR330, miR3180-3, miR6080, miR5787, miR6733, and miR3613). A total of 44 gene targets were identified based on the 3'-untranslated regions of downregulated mRNA genes that contain putative binding targets to these eight miRNAs. These include 17 and 15 genes in luminal-A type and TNBC respectively, that have been reported to be associated with breast cancer regulation. Of the remaining 12 genes, seven (A4GALT, C2ORF74, HRCT1, ZC4H2, ZNF512, ZNF655, and ZNF608) show similar relative expression profiles in large patient samples and other breast cancer cell lines thereby giving insight into predicted role of H3K4me3 mediated gene regulation via the miRNA-mRNA axis.

• Genomics & Informatics
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• v.18 no.4
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• pp.36.1-36.9
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• 2020

Since lung cancer is a major causative for cancer-related deaths, the investigations for discovering biomarkers to diagnose at an early stage and to apply therapeutic strategies have been continuously conducted. Recently, long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are being exponentially studied as promising biomarkers of lung cancer. Moreover, supportive evidence provides the competing endogenous RNA (ceRNA) network between lncRNAs and miRNAs participating in lung tumorigenesis. This review introduced the oncogenic or tumor-suppressive roles of lncRNAs and miRNAs in lung cancer cells and summarized the involvement of the lncRNA/miRNA ceRNA networks in carcinogenesis and therapeutic resistance of lung cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.937-943
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• 2014

Polymorphisms in miRNA binding sites have been shown to affect miRNA binding to target genes, resulting in differential mRNA and protein expression and susceptibility to common diseases. Our purpose was to predict SNPs (single nucleotide polymorphisms) within miRNA binding sites of inflammatory genes in relation to gastric cancer. A complete list of SNPs in the 3'UTR regions of all inflammatory genes associated with gastric cancer was obtained from Pubmed. miRNA target prediction databases (MirSNP, Targetscan Human 6.2, PolymiRTS 3.0, miRNASNP 2.0, and Patrocles) were used to predict miRNA target sites. There were 99 SNPs with MAF>0.05 within the miRNA binding sites of 41 genes among 72 inflammation-related genes associated with gastric cancer. NF-${\kappa}B$ and JAK-STAT are the two most important signaling pathways. 47 SNPs of 25 genes with 95 miRNAs were predicted. CCL2 and IL1F5 were found to be the shared target genes of hsa-miRNA-624-3p. Bioinformatic methods could identify a set of SNPs within miRNA binding sites of inflammatory genes, and provide data and direction for subsequent functional verification research.