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target prediction</title> <meta name="description" content="Search results for: miRNA:mRNA target prediction"> <meta name="keywords" content="miRNA:mRNA target prediction"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="miRNA:mRNA target prediction"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 5062</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: miRNA:mRNA target prediction</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5062</span> Intra-miR-ExploreR, a Novel Bioinformatics Platform for Integrated Discovery of MiRNA:mRNA Gene Regulatory Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Surajit%20Bhattacharya">Surajit Bhattacharya</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Veltri"> Daniel Veltri</a>, <a href="https://publications.waset.org/abstracts/search?q=Atit%20A.%20Patel"> Atit A. Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20N.%20Cox"> Daniel N. Cox</a> </p> <p class="card-text"><strong>Abstract:</strong></p> miRNAs have emerged as key post-transcriptional regulators of gene expression, however identification of biologically-relevant target genes for this epigenetic regulatory mechanism remains a significant challenge. To address this knowledge gap, we have developed a novel tool in R, Intra-miR-ExploreR, that facilitates integrated discovery of miRNA targets by incorporating target databases and novel target prediction algorithms, using statistical methods including Pearson and Distance Correlation on microarray data, to arrive at high confidence intragenic miRNA target predictions. We have explored the efficacy of this tool using Drosophila melanogaster as a model organism for bioinformatics analyses and functional validation. A number of putative targets were obtained which were also validated using qRT-PCR analysis. Additional features of the tool include downloadable text files containing GO analysis from DAVID and Pubmed links of literature related to gene sets. Moreover, we are constructing interaction maps of intragenic miRNAs, using both micro array and RNA-seq data, focusing on neural tissues to uncover regulatory codes via which these molecules regulate gene expression to direct cellular development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=miRNA" title="miRNA">miRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA%3AmRNA%20target%20prediction" title=" miRNA:mRNA target prediction"> miRNA:mRNA target prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20methods" title=" statistical methods"> statistical methods</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA%3AmRNA%20interaction%20network" title=" miRNA:mRNA interaction network"> miRNA:mRNA interaction network</a> </p> <a href="https://publications.waset.org/abstracts/27427/intra-mir-explorer-a-novel-bioinformatics-platform-for-integrated-discovery-of-mirnamrna-gene-regulatory-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27427.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">510</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5061</span> Identification of miRNA-miRNA Interactions between Virus and Host in Human Cytomegalovirus Infection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kai-Yao%20Huang">Kai-Yao Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Tzong-Yi%20Lee"> Tzong-Yi Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Pin-Hao%20Ho"> Pin-Hao Ho</a>, <a href="https://publications.waset.org/abstracts/search?q=Tzu-Hao%20Chang"> Tzu-Hao Chang</a>, <a href="https://publications.waset.org/abstracts/search?q=Cheng-Wei%20Chang"> Cheng-Wei Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Human cytomegalovirus (HCMV) infects much people around the world, and there were many researches mention that many diseases were caused by HCMV. To understand the mechanism of HCMV lead to diseases during infection. We observe a microRNA (miRNA) – miRNA interaction between HCMV and host during infection. We found HCMV miRNA sequence component complementary with host miRNA precursors, and we also found that the host miRNA abundances were decrease in HCMV infection. Hence, we focus on the host miRNA which may target by the other HCMV miRNA to find theirs target mRNAs expression and analysis these mRNAs affect what kind of signaling pathway. Interestingly, we found the affected mRNA play an important role in some diseases related pathways, and these diseases had been annotated by HCMV infection. Results: From our analysis procedure, we found 464 human miRNAs might be targeted by 26 HCMV miRNAs and there were 291 human miRNAs shows the concordant decrease trend during HCMV infection. For case study, we found hcmv-miR-US22-5p may regulate hsa-mir-877 and we analysis the KEGG pathway which built by hsa-mir-877 validate target mRNA. Additionally, through survey KEGG Disease database found that these mRNA co-regulate some disease related pathway for instance cancer, nerve disease. However, there were studies annotated that HCMV infection casuse cancer and Alzheimer. Conclusions: This work supply a different scenario of miRNA target interactions(MTIs). In previous study assume miRNA only target to other mRNA. Here we wonder there is possibility that miRNAs might regulate non-mRNA targets, like other miRNAs. In this study, we not only consider the sequence similarity with HCMV miRNAs and human miRNA precursors but also the expression trend of these miRNAs. Then we analysis the human miRNAs validate target mRNAs and its associated KEGG pathway. Finally, we survey related works to validate our investigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20cytomegalovirus" title="human cytomegalovirus">human cytomegalovirus</a>, <a href="https://publications.waset.org/abstracts/search?q=HCMV" title=" HCMV"> HCMV</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA" title=" microRNA"> microRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA" title=" miRNA"> miRNA</a> </p> <a href="https://publications.waset.org/abstracts/43139/identification-of-mirna-mirna-interactions-between-virus-and-host-in-human-cytomegalovirus-infection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43139.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">435</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5060</span> Prediction of Solanum Lycopersicum Genome Encoded microRNAs Targeting Tomato Spotted Wilt Virus</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Shahzad%20Iqbal">Muhammad Shahzad Iqbal</a>, <a href="https://publications.waset.org/abstracts/search?q=Zobia%20Sarwar"> Zobia Sarwar</a>, <a href="https://publications.waset.org/abstracts/search?q=Salah-ud-Din"> Salah-ud-Din</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tomato spotted wilt virus (TSWV) belongs to the genus Tospoviruses (family Bunyaviridae). It is one of the most devastating pathogens of tomato (Solanum Lycopersicum) and heavily damages the crop yield each year around the globe. In this study, we retrieved 329 mature miRNA sequences from two microRNA databases (miRBase and miRSoldb) and checked the putative target sites in the downloaded-genome sequence of TSWV. A consensus of three miRNA target prediction tools (RNA22, miRanda and psRNATarget) was used to screen the false-positive microRNAs targeting sites in the TSWV genome. These tools calculated different target sites by calculating minimum free energy (mfe), site-complementarity, minimum folding energy and other microRNA-mRNA binding factors. R language was used to plot the predicted target-site data. All the genes having possible target sites for different miRNAs were screened by building a consensus table. Out of these 329 mature miRNAs predicted by three algorithms, only eight miRNAs met all the criteria/threshold specifications. MC-Fold and MC-Sym were used to predict three-dimensional structures of miRNAs and further analyzed in USCF chimera to visualize the structural and conformational changes before and after microRNA-mRNA interactions. The results of the current study show that the predicted eight miRNAs could further be evaluated by in vitro experiments to develop TSWV-resistant transgenic tomato plants in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tomato%20spotted%20wild%20virus%20%28TSWV%29" title="tomato spotted wild virus (TSWV)">tomato spotted wild virus (TSWV)</a>, <a href="https://publications.waset.org/abstracts/search?q=Solanum%20lycopersicum" title=" Solanum lycopersicum"> Solanum lycopersicum</a>, <a href="https://publications.waset.org/abstracts/search?q=plant%20virus" title=" plant virus"> plant virus</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNAs" title=" miRNAs"> miRNAs</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA%20target%20prediction" title=" microRNA target prediction"> microRNA target prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=mRNA" title=" mRNA"> mRNA</a> </p> <a href="https://publications.waset.org/abstracts/145943/prediction-of-solanum-lycopersicum-genome-encoded-micrornas-targeting-tomato-spotted-wilt-virus" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145943.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">155</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5059</span> MiRNA Regulation of CXCL12β during Inflammation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raju%20Ranjha">Raju Ranjha</a>, <a href="https://publications.waset.org/abstracts/search?q=Surbhi%20Aggarwal"> Surbhi Aggarwal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Inflammation plays an important role in infectious and non-infectious diseases. MiRNA is also reported to play role in inflammation and associated cancers. Chemokine CXCL12 is also known to play role in inflammation and various cancers. CXCL12/CXCR4 chemokine axis was involved in pathogenesis of IBD specially UC. Supplementation of CXCL12 induces homing of dendritic cells to spleen and enhances control of plasmodium parasite in BALB/c mice. We looked at the regulation of CXCL12β by miRNA in UC colitis. Prolonged inflammation of colon in UC patient increases the risk of developing colorectal cancer. We looked at the expression differences of CXCl12β and its targeting miRNA in cancer susceptible area of colon of UC patients. Aim: Aim of this study was to find out the expression regulation of CXCL12β by miRNA in inflammation. Materials and Methods: Biopsy samples and blood samples were collected from UC patients and non-IBD controls. mRNA expression was analyzed using microarray and real-time PCR. CXCL12β targeting miRNA were looked by using online target prediction tools. Expression of CXCL12β in blood samples and cell line supernatant was analyzed using ELISA. miRNA target was validated using dual luciferase assay. Results and conclusion: We found miR-200a regulate the expression of CXCL12β in UC. Expression of CXCL12β was increased in cancer susceptible part of colon and expression of its targeting miRNA was decreased in the same part of colon. miR-200a regulate CXCL12β expression in inflammation and may be an important therapeutic target in inflammation associated cancer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inflammation" title="inflammation">inflammation</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA" title=" miRNA"> miRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=regulation" title=" regulation"> regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=CXCL12" title=" CXCL12"> CXCL12</a> </p> <a href="https://publications.waset.org/abstracts/69823/mirna-regulation-of-cxcl12v-during-inflammation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69823.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">278</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5058</span> Prediction of MicroRNA-Target Gene by Machine Learning Algorithms in Lung Cancer Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nilubon%20Kurubanjerdjit">Nilubon Kurubanjerdjit</a>, <a href="https://publications.waset.org/abstracts/search?q=Nattakarn%20Iam-On"> Nattakarn Iam-On</a>, <a href="https://publications.waset.org/abstracts/search?q=Ka-Lok%20Ng"> Ka-Lok Ng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MicroRNAs are small non-coding RNA found in many different species. They play crucial roles in cancer such as biological processes of apoptosis and proliferation. The identification of microRNA-target genes can be an essential first step towards to reveal the role of microRNA in various cancer types. In this paper, we predict miRNA-target genes for lung cancer by integrating prediction scores from miRanda and PITA algorithms used as a feature vector of miRNA-target interaction. Then, machine-learning algorithms were implemented for making a final prediction. The approach developed in this study should be of value for future studies into understanding the role of miRNAs in molecular mechanisms enabling lung cancer formation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microRNA" title="microRNA">microRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNAs" title=" miRNAs"> miRNAs</a>, <a href="https://publications.waset.org/abstracts/search?q=lung%20cancer" title=" lung cancer"> lung cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=Na%C3%AFve%20Bayes" title=" Naïve Bayes"> Naïve Bayes</a>, <a href="https://publications.waset.org/abstracts/search?q=SVM" title=" SVM"> SVM</a> </p> <a href="https://publications.waset.org/abstracts/41904/prediction-of-microrna-target-gene-by-machine-learning-algorithms-in-lung-cancer-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41904.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">399</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5057</span> Micro-Ribonucleic Acid-21 as High Potential Prostate Cancer Biomarker</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Regina%20R.%20Gunawan">Regina R. Gunawan</a>, <a href="https://publications.waset.org/abstracts/search?q=Indwiani%20Astuti"> Indwiani Astuti</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Raden%20Danarto"> H. Raden Danarto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cancer is the leading cause of death worldwide. Cancer is caused by mutations that alter the function of normal human genes and give rise to cancer genes. MicroRNA (miRNA) is a small non-coding RNA that regulates the gen through complementary bond towards mRNA target and cause mRNA degradation. miRNA works by either promoting or suppressing cell proliferation. miRNA level expression in cancer may offer another value of miRNA as a biomarker in cancer diagnostic. miRNA-21 is believed to have a role in carcinogenesis by enhancing proliferation, anti-apoptosis, cell cycle progression and invasion of tumor cells. Hsa-miR-21-5p marker has been identified in Prostate Cancer (PCa) and Benign Prostatic Hyperplasia (BPH) patient’s urine. This research planned to explore the diagnostic performance of miR-21 to differentiate PCa and BPH patients. In this study, urine samples were collected from 20 PCa patients and 20 BPH patients. miR-21 relative expression against the reference gene was analyzed and compared between the two. miRNA expression was analyzed using the comparative quantification method to find the fold change. miR-21 validity in identifying PCa patients was performed by quantifying the sensitivity and specificity with the contingency table. miR-21 relative expression against miR-16 in PCa patient and in BPH patient has 12,98 differences in fold change. From a contingency table of Cq expression of miR-21 in identifying PCa patients from BPH patient, Cq miR-21 has 100% sensitivity and 75% specificity. miR-21 relative expression can be used in discriminating PCa from BPH by using a urine sample. Furthermore, the expression of miR-21 has higher sensitivity compared to PSA (Prostate specific antigen), therefore miR-21 has a high potential to be analyzed and developed more. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=benign%20prostate%20hyperplasia" title="benign prostate hyperplasia">benign prostate hyperplasia</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarker" title=" biomarker"> biomarker</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA-21" title=" miRNA-21"> miRNA-21</a>, <a href="https://publications.waset.org/abstracts/search?q=prostate%20cancer" title=" prostate cancer"> prostate cancer</a> </p> <a href="https://publications.waset.org/abstracts/120043/micro-ribonucleic-acid-21-as-high-potential-prostate-cancer-biomarker" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120043.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5056</span> An Improvement of ComiR Algorithm for MicroRNA Target Prediction by Exploiting Coding Region Sequences of mRNAs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Giorgio%20Bertolazzi">Giorgio Bertolazzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Panayiotis%20Benos"> Panayiotis Benos</a>, <a href="https://publications.waset.org/abstracts/search?q=Michele%20Tumminello"> Michele Tumminello</a>, <a href="https://publications.waset.org/abstracts/search?q=Claudia%20Coronnello"> Claudia Coronnello</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MicroRNAs are small non-coding RNAs that post-transcriptionally regulate the expression levels of messenger RNAs. MicroRNA regulation activity depends on the recognition of binding sites located on mRNA molecules. ComiR (Combinatorial miRNA targeting) is a user friendly web tool realized to predict the targets of a set of microRNAs, starting from their expression profile. ComiR incorporates miRNA expression in a thermodynamic binding model, and it associates each gene with the probability of being a target of a set of miRNAs. ComiR algorithms were trained with the information regarding binding sites in the 3’UTR region, by using a reliable dataset containing the targets of endogenously expressed microRNA in D. melanogaster S2 cells. This dataset was obtained by comparing the results from two different experimental approaches, i.e., inhibition, and immunoprecipitation of the AGO1 protein; this protein is a component of the microRNA induced silencing complex. In this work, we tested whether including coding region binding sites in the ComiR algorithm improves the performance of the tool in predicting microRNA targets. We focused the analysis on the D. melanogaster species and updated the ComiR underlying database with the currently available releases of mRNA and microRNA sequences. As a result, we find that the ComiR algorithm trained with the information related to the coding regions is more efficient in predicting the microRNA targets, with respect to the algorithm trained with 3’utr information. On the other hand, we show that 3’utr based predictions can be seen as complementary to the coding region based predictions, which suggests that both predictions, from 3'UTR and coding regions, should be considered in a comprehensive analysis. Furthermore, we observed that the lists of targets obtained by analyzing data from one experimental approach only, that is, inhibition or immunoprecipitation of AGO1, are not reliable enough to test the performance of our microRNA target prediction algorithm. Further analysis will be conducted to investigate the effectiveness of the tool with data from other species, provided that validated datasets, as obtained from the comparison of RISC proteins inhibition and immunoprecipitation experiments, will be available for the same samples. Finally, we propose to upgrade the existing ComiR web-tool by including the coding region based trained model, available together with the 3’UTR based one. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AGO1" title="AGO1">AGO1</a>, <a href="https://publications.waset.org/abstracts/search?q=coding%20region" title=" coding region"> coding region</a>, <a href="https://publications.waset.org/abstracts/search?q=Drosophila%20melanogaster" title=" Drosophila melanogaster"> Drosophila melanogaster</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA%20target%20prediction" title=" microRNA target prediction"> microRNA target prediction</a> </p> <a href="https://publications.waset.org/abstracts/121083/an-improvement-of-comir-algorithm-for-microrna-target-prediction-by-exploiting-coding-region-sequences-of-mrnas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121083.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">451</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5055</span> Diagnostic Evaluation of Micro Rna (miRNA-21, miRNA-215 and miRNA-378) in Patients with Colorectal Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ossama%20Abdelmotaal">Ossama Abdelmotaal</a>, <a href="https://publications.waset.org/abstracts/search?q=Olfat%20Shaker"> Olfat Shaker</a>, <a href="https://publications.waset.org/abstracts/search?q=Tarek%20Salman"> Tarek Salman</a>, <a href="https://publications.waset.org/abstracts/search?q=Lamiaa%20Nabeel"> Lamiaa Nabeel</a>, <a href="https://publications.waset.org/abstracts/search?q=Mostafa%20Shabayek"> Mostafa Shabayek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Colorectal Cancer (CRC) is an important worldwide health problem. Colonoscopy is used in detecting CRC suffer from drawbacks where colonoscopy is an invasive method. This study validates easier and less time-consuming techniques to evaluate the usefulness of detecting miRNA-21, miRNA-215 and miRNA-378 in the sera of colorectal cancer patients as new diagnostic tools. This study includes malignant (Colo Rectal Cancer patients, n= 64)) and healthy (n=27) groups. The studied groups were subjected to colonoscopic examination and estimation of miRNA-21, miRNA-215 and miRNA-378 in sera by RT-PCR. miRNA-21 showed the statistically significantly highest median fold change. miRNA-378 showed statistically significantly lower value (Both showed over-expression). miRNA-215 showed the statistically significantly lowest median fold change (It showed down-regulation). Overall the miRNA (21-215 and 378) appear to be promising method of detecting CRC and evaluating its stages. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=colorectal%20cancer" title="colorectal cancer">colorectal cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA-21" title=" miRNA-21"> miRNA-21</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA-215" title=" miRNA-215"> miRNA-215</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA-378" title=" miRNA-378"> miRNA-378</a> </p> <a href="https://publications.waset.org/abstracts/69931/diagnostic-evaluation-of-micro-rna-mirna-21-mirna-215-and-mirna-378-in-patients-with-colorectal-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69931.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">303</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5054</span> LncRNA-miRNA-mRNA Networks Associated with BCR-ABL T315I Mutation in Chronic Myeloid Leukemia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adenike%20Adesanya">Adenike Adesanya</a>, <a href="https://publications.waset.org/abstracts/search?q=Nonthaphat%20Wong"> Nonthaphat Wong</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiang-Yun%20Lan"> Xiang-Yun Lan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shea%20Ping%20Yip"> Shea Ping Yip</a>, <a href="https://publications.waset.org/abstracts/search?q=Chien-Ling%20Huang"> Chien-Ling Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The most challenging mutation of the oncokinase BCR-ABL protein T315I, which is commonly known as the “gatekeeper” mutation and is notorious for its strong resistance to almost all tyrosine kinase inhibitors (TKIs), especially imatinib. Therefore, this study aims to identify T315I-dependent downstream microRNA (miRNA) pathways associated with drug resistance in chronic myeloid leukemia (CML) for prognostic and therapeutic purposes. Methods: T315I-carrying K562 cell clones (K562-T315I) were generated by the CRISPR-Cas9 system. Imatinib-treated K562-T315I cells were subjected to small RNA library preparation and next-generation sequencing. Putative lncRNA-miRNA-mRNA networks were analyzed with (i) DESeq2 to extract differentially expressed miRNAs, using Padj value of 0.05 as cut-off, (ii) STarMir to obtain potential miRNA response element (MRE) binding sites of selected miRNAs on lncRNA H19, (iii) miRDB, miRTarbase, and TargetScan to predict mRNA targets of selected miRNAs, (iv) IntaRNA to obtain putative interactions between H19 and the predicted mRNAs, (v) Cytoscape to visualize putative networks, and (vi) several pathway analysis platforms – Enrichr, PANTHER and ShinyGO for pathway enrichment analysis. Moreover, mitochondria isolation and transcript quantification were adopted to determine the new mechanism involved in T315I-mediated resistance of CML treatment. Results: Verification of the CRISPR-mediated mutagenesis with digital droplet PCR detected the mutation abundance of ≥80%. Further validation showed the viability of ≥90% by cell viability assay, and intense phosphorylated CRKL protein band being detected with no observable change for BCR-ABL and c-ABL protein expressions by Western blot. As reported by several investigations into hematological malignancies, we determined a 7-fold increase of H19 expression in K562-T315I cells. After imatinib treatment, a 9-fold increment was observed. DESeq2 revealed 171 miRNAs were differentially expressed K562-T315I, 112 out of these miRNAs were identified to have MRE binding regions on H19, and 26 out of the 112 miRNAs were significantly downregulated. Adopting the seed-sequence analysis of these identified miRNAs, we obtained 167 mRNAs. 6 hub miRNAs (hsa-let-7b-5p, hsa-let-7e-5p, hsa-miR-125a-5p, hsa-miR-129-5p, and hsa-miR-372-3p) and 25 predicted genes were identified after constructing hub miRNA-target gene network. These targets demonstrated putative interactions with H19 lncRNA and were mostly enriched in pathways related to cell proliferation, senescence, gene silencing, and pluripotency of stem cells. Further experimental findings have also shown the up-regulation of mitochondrial transcript and lncRNA MALAT1 contributing to the lncRNA-miRNA-mRNA networks induced by BCR-ABL T315I mutation. Conclusions: Our results have indicated that lncRNA-miRNA regulators play a crucial role not only in leukemogenesis but also in drug resistance, considering the significant dysregulation and interactions in the K562-T315I cell model generated by CRISPR-Cas9. In silico analysis has further shown that lncRNAs H19 and MALAT1 bear several complementary miRNA sites. This implies that they could serve as a sponge, hence sequestering the activity of the target miRNAs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chronic%20myeloid%20leukemia" title="chronic myeloid leukemia">chronic myeloid leukemia</a>, <a href="https://publications.waset.org/abstracts/search?q=imatinib%20resistance" title=" imatinib resistance"> imatinib resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=lncRNA-miRNA-mRNA" title=" lncRNA-miRNA-mRNA"> lncRNA-miRNA-mRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=T315I%20mutation" title=" T315I mutation"> T315I mutation</a> </p> <a href="https://publications.waset.org/abstracts/148805/lncrna-mirna-mrna-networks-associated-with-bcr-abl-t315i-mutation-in-chronic-myeloid-leukemia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148805.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5053</span> In Silico Analysis of Salivary miRNAs to Identify the Diagnostic Biomarkers for Oral Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andleeb%20Zahra">Andleeb Zahra</a>, <a href="https://publications.waset.org/abstracts/search?q=Itrat%20Rubab"> Itrat Rubab</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumaira%20Malik"> Sumaira Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Amina%20Khan"> Amina Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Jawad%20Khan"> Muhammad Jawad Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Qaiser%20Fatmi"> M. Qaiser Fatmi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide. Recent studies have highlighted the role of miRNA in disease pathology, indicating its potential use in an early diagnostic tool. miRNAs are small, double stranded, non-coding RNAs that regulate gene expression by deregulating mRNAs. miRNAs play important roles in modifying various cellular processes such as cell growth, differentiation, apoptosis, and immune response. Dis-regulated expression of miRNAs is known to affect the cell growth, and this may function as tumor suppressors or oncogenes in various cancers. Objectives: The main objectives of this study were to characterize the extracellular miRNAs involved in oral cancer (OC) to assist early detection of cancer as well as to propose a list of genes that can potentially be used as biomarkers of OC. We used gene expression data by microarrays already available in literature. Materials and Methods: In the first step, a total of 318 miRNAs involved in oral carcinoma were shortlisted followed by the prediction of their target genes. Simultaneously, the differentially expressed genes (DEGs) of oral carcinoma from all experiments were identified. The common genes between lists of DEGs of OC based on experimentally proven data and target genes of each miRNA were identified. These common genes are the targets of specific miRNA, which is involved in OC. Finally, a list of genes was generated which may be used as biomarker of OC. Results and Conclusion: In results, we included some of pathways in cancer to show the change in gene expression under the control of specific miRNA. Ingenuity pathway analysis (IPA) provided a list of major biomarkers like CDH2, CDK7 and functional enrichment analysis identified the role of miRNA in major pathways like cell adhesion molecules pathway affected by cancer. We observed that at least 25 genes are regulated by maximum number of miRNAs, and thereby, they can be used as biomarkers of OC. To better understand the role of miRNA with respect to their target genes further experiments are required, and our study provides a platform to better understand the miRNA-OC relationship at genomics level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title="biomarkers">biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=gene%20expression" title=" gene expression"> gene expression</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA" title=" miRNA"> miRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=oral%20carcinoma" title=" oral carcinoma"> oral carcinoma</a> </p> <a href="https://publications.waset.org/abstracts/39983/in-silico-analysis-of-salivary-mirnas-to-identify-the-diagnostic-biomarkers-for-oral-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39983.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5052</span> miCoRe: Colorectal Cancer miRNAs Database</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Agarwal">Rahul Agarwal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashutosh%20Singh"> Ashutosh Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Colorectal cancer (CRC) also refers as bowel cancer or colon cancer. It involves the development of abnormal growth of cells in colon or rectum part of the body. This work leads to the development of a miRNA database in colorectal cancer. We named this database- miCoRe. This database comprises of all validated colon-rectal cancer miRNAs information from various published literature with an effectual knowledge based information retrieval system. miRNAs have been collected from various published literature reports. MySQL is used for main-framework of miCoRe while the front-end was developed in PHP script. The aim of developing miCoRe is to create a comprehensive central repository of colorectal carcinoma miRNAs with all germane information of miRNAs and their target genes. The current version of miCoRe consists of 238 miRNAs which are known to be implicated in malignancy of CRC. Alongside with miRNA information, miCoRe also contains the information related to the target genes of these miRNA. miCoRe furnishes the information about the mechanism of incidence and progression of the disease, which would further help the researchers to look for colorectal specific miRNAs therapies and CRC specific targeted drug designing. Moreover, it will also help in development of biomarkers for the better and early detection of CRC and will help in better clinical management of the disease. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=colorectal%20cancer" title="colorectal cancer">colorectal cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=database" title=" database"> database</a>, <a href="https://publications.waset.org/abstracts/search?q=miCoRe" title=" miCoRe"> miCoRe</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNAs" title=" miRNAs"> miRNAs</a> </p> <a href="https://publications.waset.org/abstracts/72940/micore-colorectal-cancer-mirnas-database" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72940.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">278</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5051</span> Expression of miRNA 335 in Gall Bladder Cancer: A Correlative Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naseem%20Fatima">Naseem Fatima</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20N.%20Srivastava"> A. N. Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Tasleem%20Raza"> Tasleem Raza</a>, <a href="https://publications.waset.org/abstracts/search?q=Vijay%20Kumar"> Vijay Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Carcinoma gallbladder is third most common gastrointestinal lethal disease with the highest incidence and mortality rate among women in Northern India. Scientists have found several risk factors that make a person more likely to develop gallbladder cancer; among these risk factors, deregulation of miRNAs has been demonstrated to be one of the most crucial factors. The changes in the expression of specific miRNA genes result in the control of inflammation, cell cycle regulation, stress response, proliferation, differentiation, apoptosis and invasion thus mediate the process in tumorgenesis. The aim of this study was to investigate the role of MiRNA-335 and may as a molecular marker in early detection of gallbladder cancer in suspected cases. Material and Methods: A total of 20 consecutive patients with gallbladder cancer aged between 30-75 years were registered for the study. Total RNA was extracted from tissue by using the mirVANA MiRNA isolation Kit according to the manufacturer’s protocol. The MiRNA- 335 and U6 snRNA-specific cDNA were reverse-transcribed from total RNA using Taqman microRNA reverse-transcription kit according to the manufacturer’s protocol. TaqMan MiRNA probes hsa-miR-335 and Taqman Master Mix without AmpEase UNG, Individual real-time PCR assays were performed in a 20 μL reaction volume on a Real-Time PCR system (Applied Biosystems StepOnePlus™) to detect MiRNA-335 expression in tissue. Relative quantification of target MiRNA expression was evaluated using the comparative cycle threshold (CT) method. The correlation was done in between cycle threshold (CT Value) of target MiRNA in gallbladder cancer with respect to non-cancerous Cholelithiasis gallbladder. Each sample was examined in triplicate. The Newman-Keuls Multiple Comparison Test was used to determine the expression of miR-335. Results: MiRNA335 was found to be significantly downregulated in the gallbladder cancer tissue (P<0.001), when compared with non-cancerous Cholelithiasis gallbladder cases. Out of 20 cases, 75% showed reduced expression of MiRNA335, were at last stage of disease with low overall survival rate and remaining 25% were showed up-regulated expression of MiRNA335 with high survival rate. Conclusion: The present study showed that reduced expression of MiRNA335 is associated with the advancement of the disease, and its deregulation may provide important clues to understanding it as a prognostic marker and opportunities for future research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=carcinoma%20gallbladder" title="carcinoma gallbladder">carcinoma gallbladder</a>, <a href="https://publications.waset.org/abstracts/search?q=downregulation" title=" downregulation"> downregulation</a>, <a href="https://publications.waset.org/abstracts/search?q=MiRNA-335" title=" MiRNA-335"> MiRNA-335</a>, <a href="https://publications.waset.org/abstracts/search?q=RT-PCR%20assay" title=" RT-PCR assay"> RT-PCR assay</a> </p> <a href="https://publications.waset.org/abstracts/46961/expression-of-mirna-335-in-gall-bladder-cancer-a-correlative-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46961.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">360</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5050</span> Modeling the Intricate Relationship between miRNA Dysregulation and Breast Cancer Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sajed%20Sarabandi">Sajed Sarabandi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mostafa%20Rostampour%20Vajari"> Mostafa Rostampour Vajari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Breast cancer is the most frequent form of cancer among women and the fifth-leading cause of cancer-related deaths. A common feature of cancer cells is their ability to survive and evade apoptosis. Understanding the mechanisms of these pathways and their regulatory factors can lead to the development of effective treatment strategies. In this study, we aim to model the effect of key miRNAs, which are significant regulatory factors in breast cancer. We designed a Petri net focusing on two crucial pathways, proliferation, and apoptosis, and identified the role of miRNAs in these pathways. Our analysis indicates that the upregulation of miRNAs 99a and 372 can effectively increase apoptosis and decrease proliferation. Moreover, we demonstrate that miRNA-600, previously reported as a potential candidate for treatment, may not be a suitable target due to its dual activity in proliferation. Therefore, further research is required to investigate the potential of this miRNA in cancer treatment. Our model shows that a combination of miRNA upregulation and knockdown can efficiently influence key genes such as MDM2 and PTEN, leading to the activation of apoptosis in cancer cells. Ultimately, our model successfully simulates the connection between regulatory miRNAs and key genes in breast cancer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNAs" title=" microRNAs"> microRNAs</a>, <a href="https://publications.waset.org/abstracts/search?q=bio-modeling" title=" bio-modeling"> bio-modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=Petri%20net" title=" Petri net"> Petri net</a> </p> <a href="https://publications.waset.org/abstracts/192992/modeling-the-intricate-relationship-between-mirna-dysregulation-and-breast-cancer-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192992.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">28</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5049</span> Ensemble-Based SVM Classification Approach for miRNA Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sondos%20M.%20Hammad">Sondos M. Hammad</a>, <a href="https://publications.waset.org/abstracts/search?q=Sherin%20M.%20ElGokhy"> Sherin M. ElGokhy</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20M.%20Fahmy"> Mahmoud M. Fahmy</a>, <a href="https://publications.waset.org/abstracts/search?q=Elsayed%20A.%20Sallam"> Elsayed A. Sallam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, an ensemble-based Support Vector Machine (SVM) classification approach is proposed. It is used for miRNA prediction. Three problems, commonly associated with previous approaches, are alleviated. These problems arise due to impose assumptions on the secondary structural of premiRNA, imbalance between the numbers of the laboratory checked miRNAs and the pseudo-hairpins, and finally using a training data set that does not consider all the varieties of samples in different species. We aggregate the predicted outputs of three well-known SVM classifiers; namely, Triplet-SVM, Virgo and Mirident, weighted by their variant features without any structural assumptions. An additional SVM layer is used in aggregating the final output. The proposed approach is trained and then tested with balanced data sets. The results of the proposed approach outperform the three base classifiers. Improved values for the metrics of 88.88% f-score, 92.73% accuracy, 90.64% precision, 96.64% specificity, 87.2% sensitivity, and the area under the ROC curve is 0.91 are achieved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MiRNAs" title="MiRNAs">MiRNAs</a>, <a href="https://publications.waset.org/abstracts/search?q=SVM%20classification" title=" SVM classification"> SVM classification</a>, <a href="https://publications.waset.org/abstracts/search?q=ensemble%20algorithm" title=" ensemble algorithm"> ensemble algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=assumption%20problem" title=" assumption problem"> assumption problem</a>, <a href="https://publications.waset.org/abstracts/search?q=imbalance%20data" title=" imbalance data"> imbalance data</a> </p> <a href="https://publications.waset.org/abstracts/32331/ensemble-based-svm-classification-approach-for-mirna-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32331.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">349</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5048</span> Increase in Specificity of MicroRNA Detection by RT-qPCR Assay Using a Specific Extension Sequence </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyung%20Jin%20Kim">Kyung Jin Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiwon%20Kwak"> Jiwon Kwak</a>, <a href="https://publications.waset.org/abstracts/search?q=Jae-Hoon%20Lee"> Jae-Hoon Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Soo%20Suk%20Lee"> Soo Suk Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We describe an innovative method for highly specific detection of miRNAs using a specially modified method of poly(A) adaptor RT-qPCR. We use uniquely designed specific extension sequence, which plays important role in providing an opportunity to affect high specificity of miRNA detection. This method involves two steps of reactions as like previously reported and which are poly(A) tailing and reverse-transcription followed by real-time PCR. Firstly, miRNAs are extended by a poly(A) tailing reaction and then converted into cDNA. Here, we remarkably reduced the reaction time by the application of short length of poly(T) adaptor. Next, cDNA is hybridized to the 3’-end of a specific extension sequence which contains miRNA sequence and results in producing a novel PCR template. Thereafter, the SYBR Green-based RT-qPCR progresses with a universal poly(T) adaptor forward primer and a universal reverse primer. The target miRNA, miR-106b in human brain total RNA, could be detected quantitatively in the range of seven orders of magnitude, which demonstrate that the assay displays a dynamic range of at least 7 logs. In addition, the better specificity of this novel extension-based assay against well known poly(A) tailing method for miRNA detection was confirmed by melt curve analysis of real-time PCR product, clear gel electrophoresis and sequence chromatogram images of amplified DNAs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microRNA%28miRNA%29" title="microRNA(miRNA)">microRNA(miRNA)</a>, <a href="https://publications.waset.org/abstracts/search?q=specific%20extension%20sequence" title=" specific extension sequence"> specific extension sequence</a>, <a href="https://publications.waset.org/abstracts/search?q=RT-qPCR" title=" RT-qPCR"> RT-qPCR</a>, <a href="https://publications.waset.org/abstracts/search?q=poly%28A%29%20tailing%20assay" title=" poly(A) tailing assay"> poly(A) tailing assay</a>, <a href="https://publications.waset.org/abstracts/search?q=reverse%20transcription" title=" reverse transcription"> reverse transcription</a> </p> <a href="https://publications.waset.org/abstracts/66836/increase-in-specificity-of-microrna-detection-by-rt-qpcr-assay-using-a-specific-extension-sequence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66836.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">308</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5047</span> Improving the Bioprocess Phenotype of Chinese Hamster Ovary Cells Using CRISPR/Cas9 and Sponge Decoy Mediated MiRNA Knockdowns</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kevin%20Kellner">Kevin Kellner</a>, <a href="https://publications.waset.org/abstracts/search?q=Nga%20Lao"> Nga Lao</a>, <a href="https://publications.waset.org/abstracts/search?q=Orla%20Coleman"> Orla Coleman</a>, <a href="https://publications.waset.org/abstracts/search?q=Paula%20Meleady"> Paula Meleady</a>, <a href="https://publications.waset.org/abstracts/search?q=Niall%20Barron"> Niall Barron</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Chinese Hamster Ovary (CHO) cells are the prominent cell line used in biopharmaceutical production. To improve yields and find beneficial bioprocess phenotypes genetic engineering plays an essential role in recent research. The miR-23 cluster, specifically miR-24 and miR-27, was first identified as differentially expressed during hypothermic conditions suggesting a role in proliferation and productivity in CHO cells. In this study, we used sponge decoy technology to stably deplete the miRNA expression of the cluster. Furthermore, we implemented the CRISPR/Cas9 system to knockdown miRNA expression. Sponge constructs were designed for an imperfect binding of the miRNA target, protecting from RISC mediated cleavage. GuideRNAs for the CRISPR/Cas9 system were designed to target the seed region of the miRNA. The expression of mature miRNA and precursor were confirmed using RT-qPCR. For both approaches stable expressing mixed populations were generated and characterised in batch cultures. It was shown, that CRISPR/Cas9 can be implemented in CHO cells with achieving high knockdown efficacy of every single member of the cluster. Targeting of one miRNA member showed that its genomic paralog is successfully targeted as well. The stable depletion of miR-24 using CRISPR/Cas9 showed increased growth and specific productivity in a CHO-K1 mAb expressing cell line. This phenotype was further characterized using quantitative label-free LC-MS/MS showing 186 proteins differently expressed with 19 involved in proliferation and 26 involved in protein folding/translation. Targeting miR-27 in the same cell line showed increased viability in late stages of the culture compared to the control. To evaluate the phenotype in an industry relevant cell line; the miR-23 cluster, miR-24 and miR-27 were stably depleted in a Fc fusion CHO-S cell line which showed increased batch titers up to 1.5-fold. In this work, we highlighted that the stable depletion of the miR-23 cluster and its members can improve the bioprocess phenotype concerning growth and productivity in two different cell lines. Furthermore, we showed that using CRISPR/Cas9 is comparable to the traditional sponge decoy technology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chinese%20Hamster%20ovary%20cells" title="Chinese Hamster ovary cells">Chinese Hamster ovary cells</a>, <a href="https://publications.waset.org/abstracts/search?q=CRISPR%2FCas9" title=" CRISPR/Cas9"> CRISPR/Cas9</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNAs" title=" microRNAs"> microRNAs</a>, <a href="https://publications.waset.org/abstracts/search?q=sponge%20decoy%20technology" title=" sponge decoy technology"> sponge decoy technology</a> </p> <a href="https://publications.waset.org/abstracts/75484/improving-the-bioprocess-phenotype-of-chinese-hamster-ovary-cells-using-crisprcas9-and-sponge-decoy-mediated-mirna-knockdowns" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75484.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5046</span> A Kernel-Based Method for MicroRNA Precursor Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bin%20Liu">Bin Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MicroRNAs (miRNAs) are small non-coding RNA molecules, functioning in transcriptional and post-transcriptional regulation of gene expression. The discrimination of the real pre-miRNAs from the false ones (such as hairpin sequences with similar stem-loops) is necessary for the understanding of miRNAs’ role in the control of cell life and death. Since both their small size and sequence specificity, it cannot be based on sequence information alone but requires structure information about the miRNA precursor to get satisfactory performance. Kmers are convenient and widely used features for modeling the properties of miRNAs and other biological sequences. However, Kmers suffer from the inherent limitation that if the parameter K is increased to incorporate long range effects, some certain Kmer will appear rarely or even not appear, as a consequence, most Kmers absent and a few present once. Thus, the statistical learning approaches using Kmers as features become susceptible to noisy data once K becomes large. In this study, we proposed a Gapped k-mer approach to overcome the disadvantages of Kmers, and applied this method to the field of miRNA prediction. Combined with the structure status composition, a classifier called imiRNA-GSSC was proposed. We show that compared to the original imiRNA-kmer and alternative approaches. Trained on human miRNA precursors, this predictor can achieve an accuracy of 82.34 for predicting 4022 pre-miRNA precursors from eleven species. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gapped%20k-mer" title="gapped k-mer">gapped k-mer</a>, <a href="https://publications.waset.org/abstracts/search?q=imiRNA-GSSC" title=" imiRNA-GSSC"> imiRNA-GSSC</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA%20precursor" title=" microRNA precursor"> microRNA precursor</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine" title=" support vector machine"> support vector machine</a> </p> <a href="https://publications.waset.org/abstracts/77955/a-kernel-based-method-for-microrna-precursor-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77955.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5045</span> Aza-Flavanones as Small Molecule Inhibitors of MicroRNA-10b in MDA-MB-231 Breast Cancer Cells</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Debasmita%20Mukhopadhyay">Debasmita Mukhopadhyay</a>, <a href="https://publications.waset.org/abstracts/search?q=Manika%20Pal%20Bhadra"> Manika Pal Bhadra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MiRNAs contribute to oncogenesis either as tumor suppressors or oncogenes. Hence, discovery of miRNA-based therapeutics are imperative to ameliorate cancer. Modulation of miRNA maturation is accomplished via several therapeutic agents, including small molecules and oligonucleotides. Due to the attractive pharmacokinetic properties of small molecules over oligonucleotides, we set to identify small molecule inhibitors of a metastasis-inducing microRNA. Cytotoxicity profile of aza-flavanone C1 was analyzed in a panel of breast cancer cells employing the NCI-60 screen protocols. Flow cytometry, immunofluorescence and western blotting of apoptotic or EMT markers were performed to analyze the effect of C1. A dual luciferase assay unequivocally suggested that C1 repressed endogenous miR-10b in MDA-MB-231 cells. A derivative of aza-flavanone C1 is shown as a strong inhibitor miR-10b. Blockade of miR-10b by C1 resulted in decreased expression of miR-10b targets in an aggressive breast cancer cell line model, MDA-MB-231. Abrogation of TWIST1, an EMT-inducing transcription factor also contributed to C1 mediated apoptosis. Moreover C1 exhibited a specific and selective down-regulation of miR-10b and did not function as a general inhibitor of miRNA biogenesis or other oncomiRs of breast carcinoma. Aza-flavanone congener C1 functions as a potent inhibitor of the metastasis-inducing microRNA, miR-10b. Our present study provides evidence for targeting metastasis-inducing microRNA, miR-10b with a derivative of Aza-flavanone. Better pharmacokinetic properties of small molecules place them as attractive agents compared to nucleic acids based therapies to target miRNA. Further work, in generating analogues based on aza-flavanone moieties will significantly improve the affinity of the small molecules to bind miR-10b. Finally, it is imperative to develop small molecules as novel miRNA-therapeutics in the fight against cancer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA" title=" microRNA"> microRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=metastasis" title=" metastasis"> metastasis</a>, <a href="https://publications.waset.org/abstracts/search?q=EMT" title=" EMT "> EMT </a> </p> <a href="https://publications.waset.org/abstracts/23183/aza-flavanones-as-small-molecule-inhibitors-of-microrna-10b-in-mda-mb-231-breast-cancer-cells" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">564</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5044</span> Identification of microRNAs in Early and Late Onset of Parkinson’s Disease Patient</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Rasyadan%20Arshad">Ahmad Rasyadan Arshad</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Rahman%20A.%20Jamal"> A. Rahman A. Jamal</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Mohamed%20Ibrahim"> N. Mohamed Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Nor%20Azian%20Abdul%20Murad"> Nor Azian Abdul Murad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Parkinson’s disease (PD) is a complex and asymptomatic disease where patients are usually diagnosed at late stage where about 70% of the dopaminergic neurons are lost. Therefore, identification of molecular biomarkers is crucial for early diagnosis of PD. MicroRNA (miRNA) is a short nucleotide non-coding small RNA which regulates the gene expression in post-translational process. The involvement of these miRNAs in neurodegenerative diseases includes maintenance of neuronal development, necrosis, mitochondrial dysfunction and oxidative stress. Thus, miRNA could be a potential biomarkers for diagnosis of PD. Objective: This study aim to identify the miRNA involved in Late Onset PD (LOPD) and Early Onset PD (EOPD) compared to the controls. Methods: This is a case-control study involved PD patients in the Chancellor Tunku Muhriz Hospital at the UKM Medical Centre. miRNA samples were extracted using miRNeasy serum/plasma kit from Qiagen. The quality of miRNA extracted was determined using Agilent RNA 6000 Nano kit in the Bioanalyzer. miRNA expression was performed using GeneChip miRNA 4.0 chip from Affymetrix. Microarray was performed in EOPD (n= 7), LOPD (n=9) and healthy control (n=11). Expression Console and Transcriptomic Analyses Console were used to analyze the microarray data. Result: miR-129-5p was significantly downregulated in EOPD compared to LOPD with -4.2 fold change (p = <0.050. miR-301a-3p was upregulated in EOPD compared to healthy control (fold = 10.3, p = <0.05). In LOPD versus healthy control, miR-486-3p (fold = 15.28, p = <0.05), miR-29c-3p (fold = 12.21, p = <0.05) and miR-301a-3p (fold = 10.01, p =< 0.05) were upregulated. Conclusion: Several miRNA have been identified to be differentially expressed in EOPD compared to LOPD and PD versus control. These miRNAs could serve as the potential biomarkers for early diagnosis of PD. However, these miRNAs need to be validated in a larger sample size. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=early%20onset%20PD" title="early onset PD">early onset PD</a>, <a href="https://publications.waset.org/abstracts/search?q=late%20onset%20PD" title=" late onset PD"> late onset PD</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA%20%28miRNA%29" title=" microRNA (miRNA)"> microRNA (miRNA)</a>, <a href="https://publications.waset.org/abstracts/search?q=microarray" title=" microarray"> microarray</a> </p> <a href="https://publications.waset.org/abstracts/58919/identification-of-micrornas-in-early-and-late-onset-of-parkinsons-disease-patient" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58919.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">259</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5043</span> Breast Cancer: The Potential of miRNA for Diagnosis and Treatment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abbas%20Pourreza">Abbas Pourreza</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MicroRNAs (miRNAs) are small single-stranded non-coding RNAs. They are almost 18-25 nucleotides long and very conservative through evolution. They are involved in adjusting the expression of numerous genes due to the existence of a complementary region, generally in the 3' untranslated regions (UTR) of target genes, against particular mRNAs in the cell. Also, miRNAs have been proven to be involved in cell development, differentiation, proliferation, and apoptosis. More than 2000 miRNAs have been recognized in human cells, and these miRNAs adjust approximately one-third of all genes in human cells. Dysregulation of miRNA originated from abnormal DNA methylation patterns of the locus, cause to down-regulated or overexpression of miRNAs, and it may affect tumor formation or development of it. Breast cancer (BC) is the most commonly identified cancer, the most prevalent cancer (23%), and the second-leading (14%) mortality in all types of cancer in females. BC can be classified based on the status (+/−) of the hormone receptors, including estrogen receptor (ER), progesterone receptor (PR), and the Receptor tyrosine-protein kinase erbB-2 (ERBB2 or HER2). Currently, there are four main molecular subtypes of BC: luminal A, approximately 50–60 % of BCs; luminal B, 10–20 %; HER2 positive, 15–20 %, and 10–20 % considered Basal (triple-negative breast cancer (TNBC)) subtype. Aberrant expression of miR-145, miR-21, miR-10b, miR-125a, and miR-206 was detected by Stem-loop real-time RT-PCR in BC cases. Breast tumor formation and development may result from down-regulation of a tumor suppressor miRNA such as miR-145, miR-125a, and miR-206 and/or overexpression of an oncogenic miRNA such as miR-21 and miR-10b. MiR-125a, miR-206, miR-145, miR-21, and miR-10b are hugely predicted to be new tumor markers for the diagnosis and prognosis of BC. MiR-21 and miR-125a could play a part in the treatment of HER-2-positive breast cancer cells, while miR-145 and miR-206 could speed up the evolution of cure techniques for TNBC. To conclude, miRNAs will be presented as hopeful molecules to be used in the primary diagnosis, prognosis, and treatment of BC and battle as opposed to its developed drug resistance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=HER2%20positive" title=" HER2 positive"> HER2 positive</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA" title=" miRNA"> miRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=TNBC" title=" TNBC"> TNBC</a> </p> <a href="https://publications.waset.org/abstracts/145673/breast-cancer-the-potential-of-mirna-for-diagnosis-and-treatment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145673.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">96</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5042</span> MicroRNA-1246 Expression Associated with Resistance to Oncogenic BRAF Inhibitors in Mutant BRAF Melanoma Cells</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jae-Hyeon%20Kim">Jae-Hyeon Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Lee"> Michael Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Intrinsic and acquired resistance limits the therapeutic benefits of oncogenic BRAF inhibitors in melanoma. MicroRNAs (miRNA) regulate the expression of target mRNAs by repressing their translation. Thus, we investigated miRNA expression patterns in melanoma cell lines to identify candidate biomarkers for acquired resistance to BRAF inhibitor. Here, we used Affymetrix miRNA V3.0 microarray profiling platform to compare miRNA expression levels in three cell lines containing BRAF inhibitor-sensitive A375P BRAF V600E cells, their BRAF inhibitor-resistant counterparts (A375P/Mdr), and SK-MEL-2 BRAF-WT cells with intrinsic resistance to BRAF inhibitor. The miRNAs with at least a two-fold change in expression between BRAF inhibitor-sensitive and –resistant cell lines, were identified as differentially expressed. Averaged intensity measurements identified 138 and 217 miRNAs that were differentially expressed by 2 fold or more between: 1) A375P and A375P/Mdr; 2) A375P and SK-MEL-2, respectively. The hierarchical clustering revealed differences in miRNA expression profiles between BRAF inhibitor-sensitive and –resistant cell lines for miRNAs involved in intrinsic and acquired resistance to BRAF inhibitor. In particular, 43 miRNAs were identified whose expression was consistently altered in two BRAF inhibitor-resistant cell lines, regardless of intrinsic and acquired resistance. Twenty five miRNAs were consistently upregulated and 18 downregulated more than 2-fold. Although some discrepancies were detected when miRNA microarray data were compared with qPCR-measured expression levels, qRT-PCR for five miRNAs (miR-3617, miR-92a1, miR-1246, miR-1936-3p, and miR-17-3p) results showed excellent agreement with microarray experiments. To further investigate cellular functions of miRNAs, we examined effects on cell proliferation. Synthetic oligonucleotide miRNA mimics were transfected into three cell lines, and proliferation was quantified using a colorimetric assay. Of the 5 miRNAs tested, only miR-1246 altered cell proliferation of A375P/Mdr cells. The transfection of miR-1246 mimic strongly conferred PLX-4720 resistance to A375P/Mdr cells, implying that miR-1246 upregulation confers acquired resistance to BRAF inhibition. We also found that PLX-4720 caused much greater G2/M arrest in A375P/Mdr cells transfected with miR-1246mimic than that seen in scrambled RNA-transfected cells. Additionally, miR-1246 mimic partially caused a resistance to autophagy induction by PLX-4720. These results indicate that autophagy does play an essential death-promoting role inPLX-4720-induced cell death. Taken together, these results suggest that miRNA expression profiling in melanoma cells can provide valuable information for a network of BRAF inhibitor resistance-associated miRNAs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microRNA" title="microRNA">microRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=BRAF%20inhibitor" title=" BRAF inhibitor"> BRAF inhibitor</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20resistance" title=" drug resistance"> drug resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=autophagy" title=" autophagy"> autophagy</a> </p> <a href="https://publications.waset.org/abstracts/50223/microrna-1246-expression-associated-with-resistance-to-oncogenic-braf-inhibitors-in-mutant-braf-melanoma-cells" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50223.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5041</span> Oncogenic Role of MicroRNA-346 in Human Non-Small Cell Lung Cancer by Regulation of XPC/ERK/Snail/E-Cadherin Pathway</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng-Cao%20Sun">Cheng-Cao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Shu-Jun%20Li"> Shu-Jun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=De-Jia%20Li"> De-Jia Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Determinants of growth and metastasis in cancer remain of great interest to define. MicroRNAs (miRNAs) have frequently emerged as tumor metastatic regulator by acting on multiple signaling pathways. Here, we report the definition of miR-346 as an oncogenic microRNA that facilitates non-small cell lung cancer (NSCLC) cell growth and metastasis. XPC, an important DNA damage recognition factor in nucleotide excision repair was defined as a target for down-regulation by miR-346, functioning through direct interaction with the 3'-UTR of XPC mRNA. Blocking miR-346 by an antagomiR was sufficient to inhibit NSCLC cell growth and metastasis, an effect that could be phenol-copied by RNAi-mediated silencing of XPC. In vivo studies established that miR-346 overexpression was sufficient to promote tumor growth by A549 cells in xenografts mice, relative to control cells. Overall, our results defined miR-346 as an oncogenic miRNA in NSCLC, the levels of which contributed to tumor growth and invasive aggressiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microRNA-346" title="microRNA-346">microRNA-346</a>, <a href="https://publications.waset.org/abstracts/search?q=miR-346" title=" miR-346"> miR-346</a>, <a href="https://publications.waset.org/abstracts/search?q=XPC" title=" XPC"> XPC</a>, <a href="https://publications.waset.org/abstracts/search?q=non-small%20cell%20lung%20cancer" title=" non-small cell lung cancer"> non-small cell lung cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=oncogenesis" title=" oncogenesis"> oncogenesis</a> </p> <a href="https://publications.waset.org/abstracts/54942/oncogenic-role-of-microrna-346-in-human-non-small-cell-lung-cancer-by-regulation-of-xpcerksnaile-cadherin-pathway" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54942.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">312</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5040</span> Human Skin Identification Using a Specific mRNA Marker at Different Storage Durations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abla%20A.%20Ali">Abla A. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Heba%20A.%20Abd%20El%20Razik"> Heba A. Abd El Razik</a>, <a href="https://publications.waset.org/abstracts/search?q=Nadia%20A.%20Kotb"> Nadia A. Kotb</a>, <a href="https://publications.waset.org/abstracts/search?q=Amany%20A.%20Bayoumi"> Amany A. Bayoumi</a>, <a href="https://publications.waset.org/abstracts/search?q=Laila%20A.%20Rashed"> Laila A. Rashed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The detection of human skin through mRNA-based profiling is a very useful tool for forensic investigations. The aim of this study was definitive identification of human skin at different time intervals using an mRNA marker late cornified envelope gene 1C. Ten middle-aged healthy volunteers of both sexes were recruited for this study. Skin samples controlled with blood samples were taken from the candidates to test for the presence of our targeted mRNA marker. Samples were kept at dry dark conditions to be tested at different time intervals (24 hours, one week, three weeks and four weeks) for detection and relative quantification of the targeted marker by RT PCR. The targeted marker could not be detected in blood samples. The targeted marker showed the highest mean value after 24 hours (11.90 ± 2.42) and the lowest mean value (7.56 ± 2.56) after three weeks. No marker could be detected at four weeks. This study verified the high specificity and sensitivity of mRNA marker in the skin at different storage times up to three weeks under the study conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20skin" title="human skin">human skin</a>, <a href="https://publications.waset.org/abstracts/search?q=late%20cornified%20envelope%20gene%201C" title=" late cornified envelope gene 1C"> late cornified envelope gene 1C</a>, <a href="https://publications.waset.org/abstracts/search?q=mRNA%20marker" title=" mRNA marker"> mRNA marker</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20intervals" title=" time intervals"> time intervals</a> </p> <a href="https://publications.waset.org/abstracts/111176/human-skin-identification-using-a-specific-mrna-marker-at-different-storage-durations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111176.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5039</span> Iron Response Element-mRNA Binding to Iron Response Protein: Metal Ion Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mateen%20A.%20Khan">Mateen A. Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Elizabeth%20J.%20Theil"> Elizabeth J. Theil</a>, <a href="https://publications.waset.org/abstracts/search?q=Dixie%20J.%20Goss"> Dixie J. Goss</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cellular iron homeostasis is accomplished by the coordinated regulated expression of iron uptake, storage, and export. Iron regulate the translation of ferritin and mitochondrial aconitase iron responsive element (IRE)-mRNA by interaction with an iron regulatory protein (IRPs). Iron increases protein biosynthesis encoded in iron responsive element. The noncoding structure IRE-mRNA, approximately 30-nt, folds into a stem loop to control synthesis of proteins in iron trafficking, cell cycling, and nervous system function. Fluorescence anisotropy measurements showed the presence of one binding site on IRP1 for ferritin and mitochondrial aconitase IRE-mRNA. Scatchard analysis revealed the binding affinity (Kₐ) and average binding sites (n) for ferritin and mitochondrial aconitase IRE-mRNA were 68.7 x 10⁶ M⁻¹ and 9.2 x 10⁶ M⁻¹, respectively. In order to understand the relative importance of equilibrium and stability, we further report the contribution of electrostatic interactions in the overall binding of two IRE-mRNA with IRP1. The fluorescence quenching of IRP1 protein was measured at different ionic strengths. The binding affinity of IRE-mRNA to IRP1 decreases with increasing ionic strength, but the number of binding sites was independent of ionic strength. Such results indicate a differential contribution of electrostatics to the interaction of IRE-mRNA with IRP1, possibly related to helix bending or stem interactions and an overall conformational change. Selective destabilization of ferritin and mitochondrial aconitase RNA/protein complexes as reported here explain in part the quantitative differences in signal response to iron in vivo and indicate possible new regulatory interactions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IRE-mRNA" title="IRE-mRNA">IRE-mRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=IRP1" title=" IRP1"> IRP1</a>, <a href="https://publications.waset.org/abstracts/search?q=binding" title=" binding"> binding</a>, <a href="https://publications.waset.org/abstracts/search?q=ionic%20strength" title=" ionic strength"> ionic strength</a> </p> <a href="https://publications.waset.org/abstracts/101783/iron-response-element-mrna-binding-to-iron-response-protein-metal-ion-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101783.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">128</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5038</span> Comparison of Extracellular miRNA from Different Lymphocyte Cell Lines and Isolation Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christelle%20E.%20Chua">Christelle E. Chua</a>, <a href="https://publications.waset.org/abstracts/search?q=Alicia%20L.%20Ho"> Alicia L. Ho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The development of a panel of differential gene expression signatures has been of interest in the field of biomarker discovery for radiation exposure. In the absence of the availability of exposed human subjects, lymphocyte cell lines have often been used as a surrogate to human whole blood, when performing ex vivo irradiation studies. The extent of variation between different lymphocyte cell lines is currently unclear, especially with regard to the expression of extracellular miRNA. This study compares the expression profile of extracellular miRNA isolated from different lymphocyte cell lines. It also compares the profile of miRNA obtained when different exosome isolation kits are used. Lymphocyte cell lines were created using lymphocytes isolated from healthy adult males of similar racial descent (Chinese American and Chinese Singaporean) and immortalised with Epstein-Barr virus. The cell lines were cultured in exosome-free cell culture media for 72h and the cell culture supernatant was removed for exosome isolation. Two exosome isolation kits were used. Total exosome isolation reagent (TEIR, ThermoFisher) is a polyethylene glycol (PEG)-based exosome precipitation kit, while ExoSpin (ES, Cell Guidance Systems) is a PEG-based exosome precipitation kit that includes an additional size exclusion chromatography step. miRNA from the isolated exosomes were isolated using miRNEASY minikit (Qiagen) and analysed using nCounter miRNA assay (Nanostring). Principal component analysis (PCA) results suggested that the overall extracellular miRNA expression profile differed between the lymphocyte cell line originating from the Chinese American donor and the cell line originating from the Chinese Singaporean donor. As the gender, age and racial origins of both donors are similar, this may suggest that there are other genetic or epigenetic differences that account for the variation in extracellular miRNA gene expression in lymphocyte cell lines. However, statistical analysis showed that only 3 miRNA genes had a fold difference > 2 at p < 0.05, suggesting that the differences may not be of that great a significance as to impact overall conclusions drawn from different cell lines. Subsequent analysis using cell lines from other donors will give further insight into the reproducibility of results when difference cell lines are used. PCA results also suggested that the method of exosome isolation impacted the expression profile. 107 miRNA had a fold difference > 2 at p < 0.05. This suggests that the inclusion of an additional size exclusion chromatography step altered the subset of the extracellular vesicles that were isolated. In conclusion, these results suggest that extracellular miRNA can be isolated and analysed from exosomes derived from lymphocyte cell lines. However, care must be taken in the choice of cell line and method of exosome isolation used. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomarker" title="biomarker">biomarker</a>, <a href="https://publications.waset.org/abstracts/search?q=extracellular%20miRNA" title=" extracellular miRNA"> extracellular miRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=isolation%20methods" title=" isolation methods"> isolation methods</a>, <a href="https://publications.waset.org/abstracts/search?q=lymphocyte%20cell%20line" title=" lymphocyte cell line"> lymphocyte cell line</a> </p> <a href="https://publications.waset.org/abstracts/78941/comparison-of-extracellular-mirna-from-different-lymphocyte-cell-lines-and-isolation-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78941.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">199</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5037</span> Intramuscular Heat Shock Protein 72 and Heme Oxygenase-1 mRNA are Reduced in Patients with Type 2 Diabetes Evidence That Insulin Resistance is Associated with a Disturbed Antioxidant Defense Mechanism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghibeche%20Abderrahmane">Ghibeche Abderrahmane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To examine whether genes associated with cellular defense against oxidative stress are associated with insulin sensitivity, patients with type 2 diabetes (n=7) and age-matched (n=5) and young (n=9) control subjects underwent a euglycemic-hyperinsulinemic clamp for 120 min. Muscle samples were obtained before and after the clamp and analyzed for heat shock protein (HSP)72 and heme oxygenase (HO)-1 mRNA, intramuscular triglyceride content, and the maximal activities of β-hyroxyacyl-CoA dehydrogenase (β-HAD) and citrate synthase (CS). Basal expression of both HSP72 and HO-1 mRNA were lower (P < 0.05) by 33 and 55%, respectively, when comparing diabetic patients with age-matched and young control subjects, with no differences between the latter groups. Both basal HSP72 (r = 0.75, P < 0.001) and HO-1 (r = 0.50,P < 0.05) mRNA expression correlated with the glucose infusion rate during the clamp. Significant correlations were also observed between HSP72 mRNA and both β-HAD (r = 0.61, P < 0.01) and CS (r = 0.65, P < 0.01). HSP72 mRNA was induced (P < 0.05) by the clamp in all groups. Although HO-1 mRNA was unaffected by the clamp in both the young and age-matched control subjects, it was increased (P < 0.05) ∼70-fold in the diabetic patients after the clamp. These data demonstrate that genes involved in providing cellular protection against oxidative stress are defective in patients with type 2 diabetes and correlate with insulin-stimulated glucose disposal and markers of muscle oxidative capacity. The data provide new evidence that the pathogenesis of type 2 diabetes involves perturbations to the antioxidant defense mechanism within skeletal muscle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=euglycemic-hyperinsulinemic" title="euglycemic-hyperinsulinemic">euglycemic-hyperinsulinemic</a>, <a href="https://publications.waset.org/abstracts/search?q=HSP72" title=" HSP72"> HSP72</a>, <a href="https://publications.waset.org/abstracts/search?q=mRNA" title=" mRNA"> mRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=diabete" title=" diabete"> diabete</a> </p> <a href="https://publications.waset.org/abstracts/25876/intramuscular-heat-shock-protein-72-and-heme-oxygenase-1-mrna-are-reduced-in-patients-with-type-2-diabetes-evidence-that-insulin-resistance-is-associated-with-a-disturbed-antioxidant-defense-mechanism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25876.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">440</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5036</span> Protective Effect of hsa-miR-124 against to Bacillus anthracis Toxins on Human Macrophage Cells</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Oztuna">Ali Oztuna</a>, <a href="https://publications.waset.org/abstracts/search?q=Meral%20%20Sarper"> Meral Sarper</a>, <a href="https://publications.waset.org/abstracts/search?q=Deniz%20Torun"> Deniz Torun</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatma%20Bayrakdar"> Fatma Bayrakdar</a>, <a href="https://publications.waset.org/abstracts/search?q=Selcuk%20Kilic"> Selcuk Kilic</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20Baysallar"> Mehmet Baysallar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Bacillus anthracis is one of the biological agents most likely to be used in case of bioterrorist attack as well as being the cause of anthrax. The bacterium's major virulence factors are the anthrax toxins and an antiphagocytic polyglutamic capsule. TEM8 (ANTXR1) and CMG2 (ANTXR2) are ubiquitously expressed type I transmembrane proteins, and ANTXR2 is the major receptor for anthrax toxins. MicroRNAs are 21-24 bp small noncoding RNAs that regulate gene expression by base pairing with the 3' UTR (untranslated regions) of their target mRNAs resulting in mRNA degradation and/or translational repression. MicroRNAs contribute to regulation of most biological processes and influence numerous pathological states like infectious disease. In this study, post-exposure (toxins) protective effect of the hsa-miR-124-3p against Bacillus anthracis was examined. In this context, i) THP-1 and U937 cells were differentiated to MΦ macrophage, ii) miRNA transfection efficiencies were evaluated by flow cytometry and qPCR, iii) protection against Bacillus anthracis toxins were investigated by XTT, cAMP ELISA and MEK2 cleavage assays. Acknowledgements: This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant SBAG-218S467. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANTXR2" title="ANTXR2">ANTXR2</a>, <a href="https://publications.waset.org/abstracts/search?q=hsa-miR-124-3p" title=" hsa-miR-124-3p"> hsa-miR-124-3p</a>, <a href="https://publications.waset.org/abstracts/search?q=M%CE%A6%20macrophage" title=" MΦ macrophage"> MΦ macrophage</a>, <a href="https://publications.waset.org/abstracts/search?q=THP-1" title=" THP-1"> THP-1</a>, <a href="https://publications.waset.org/abstracts/search?q=U937" title=" U937"> U937</a> </p> <a href="https://publications.waset.org/abstracts/129032/protective-effect-of-hsa-mir-124-against-to-bacillus-anthracis-toxins-on-human-macrophage-cells" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129032.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5035</span> Real-Time Quantitative Polymerase Chain Reaction Assay for the Detection of microRNAs Using Bi-Directional Extension Sequences</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyung%20Jin%20Kim">Kyung Jin Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiwon%20Kwak"> Jiwon Kwak</a>, <a href="https://publications.waset.org/abstracts/search?q=Jae-Hoon%20Lee"> Jae-Hoon Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Soo%20Suk%20Lee"> Soo Suk Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MicroRNAs (miRNA) are a class of endogenous, single-stranded, small, and non-protein coding RNA molecules typically 20-25 nucleotides long. They are thought to regulate the expression of other genes in a broad range by binding to 3’- untranslated regions (3’-UTRs) of specific mRNAs. The detection of miRNAs is very important for understanding of the function of these molecules and in the diagnosis of variety of human diseases. However, detection of miRNAs is very challenging because of their short length and high sequence similarities within miRNA families. So, a simple-to-use, low-cost, and highly sensitive method for the detection of miRNAs is desirable. In this study, we demonstrate a novel bi-directional extension (BDE) assay. In the first step, a specific linear RT primer is hybridized to 6-10 base pairs from the 3’-end of a target miRNA molecule and then reverse transcribed to generate a cDNA strand. After reverse transcription, the cDNA was hybridized to the 3’-end which is BDE sequence; it played role as the PCR template. The PCR template was amplified in an SYBR green-based quantitative real-time PCR. To prove the concept, we used human brain total RNA. It could be detected quantitatively in the range of seven orders of magnitude with excellent linearity and reproducibility. To evaluate the performance of BDE assay, we contrasted sensitivity and specificity of the BDE assay against a commercially available poly (A) tailing method using miRNAs for let-7e extracted from A549 human epithelial lung cancer cells. The BDE assay displayed good performance compared with a poly (A) tailing method in terms of specificity and sensitivity; the CT values differed by 2.5 and the melting curve showed a sharper than poly (A) tailing methods. We have demonstrated an innovative, cost-effective BDE assay that allows improved sensitivity and specificity in detection of miRNAs. Dynamic range of the SYBR green-based RT-qPCR for miR-145 could be represented quantitatively over a range of 7 orders of magnitude from 0.1 pg to 1.0 μg of human brain total RNA. Finally, the BDE assay for detection of miRNA species such as let-7e shows good performance compared with a poly (A) tailing method in terms of specificity and sensitivity. Thus BDE proves a simple, low cost, and highly sensitive assay for various miRNAs and should provide significant contributions in research on miRNA biology and application of disease diagnostics with miRNAs as targets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bi-directional%20extension%20%28BDE%29" title="bi-directional extension (BDE)">bi-directional extension (BDE)</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA%20%28miRNA%29" title=" microRNA (miRNA)"> microRNA (miRNA)</a>, <a href="https://publications.waset.org/abstracts/search?q=poly%20%28A%29%20tailing%20assay" title=" poly (A) tailing assay"> poly (A) tailing assay</a>, <a href="https://publications.waset.org/abstracts/search?q=reverse%20transcription" title=" reverse transcription"> reverse transcription</a>, <a href="https://publications.waset.org/abstracts/search?q=RT-qPCR" title=" RT-qPCR"> RT-qPCR</a> </p> <a href="https://publications.waset.org/abstracts/84518/real-time-quantitative-polymerase-chain-reaction-assay-for-the-detection-of-micrornas-using-bi-directional-extension-sequences" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5034</span> A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Niousha%20Bagheri%20Khulenjani">Niousha Bagheri Khulenjani</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Saniee%20Abadeh"> Mohammad Saniee Abadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Learning from very big datasets is a significant problem for most present data mining and machine learning algorithms. MicroRNA (miRNA) is one of the important big genomic and non-coding datasets presenting the genome sequences. In this paper, a hybrid method for the classification of the miRNA data is proposed. Due to the variety of cancers and high number of genes, analyzing the miRNA dataset has been a challenging problem for researchers. The number of features corresponding to the number of samples is high and the data suffer from being imbalanced. The feature selection method has been used to select features having more ability to distinguish classes and eliminating obscures features. Afterward, a Convolutional Neural Network (CNN) classifier for classification of cancer types is utilized, which employs a Genetic Algorithm to highlight optimized hyper-parameters of CNN. In order to make the process of classification by CNN faster, Graphics Processing Unit (GPU) is recommended for calculating the mathematic equation in a parallel way. The proposed method is tested on a real-world dataset with 8,129 patients, 29 different types of tumors, and 1,046 miRNA biomarkers, taken from The Cancer Genome Atlas (TCGA) database. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cancer%20classification" title="cancer classification">cancer classification</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20selection" title=" feature selection"> feature selection</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a> </p> <a href="https://publications.waset.org/abstracts/113624/a-hybrid-feature-selection-and-deep-learning-algorithm-for-cancer-disease-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113624.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">111</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5033</span> Hsa-miR-139-5p Acts as a Tumor Suppressor by Targeting C-Met in Non-Small Cell Lung Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chengcao%20Sun">Chengcao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Shujun%20Li"> Shujun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Cuili%20Yang"> Cuili Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongyong%20Xi"> Yongyong Xi</a>, <a href="https://publications.waset.org/abstracts/search?q=Liang%20Wang"> Liang Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Feng%20Zhang"> Feng Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dejia%20Li"> Dejia Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hsa-miRNA-139-5p (miR-139-5p) has recently been discovered having anticancer efficacy in different organs. However, the role of miR-139-5p on lung cancer is still ambiguous. In this study, we investigated the role of miR-139-5p on development of lung cancer. Results indicated miR-139-5p was significantly down-regulated in primary tumor tissues and very low levels were found in a non-small cell lung cancer (NSCLC) cell lines. Ectopic expression of miR-139-5p in NSCLC cell lines significantly suppressed cell growth through inhibition of cyclin D1 and up-regulation of p57(Kip2). In addition, miR-139-5p induced apoptosis, as indicated by up-regulation of key apoptosis gene cleaved caspase-3, and down-regulation of anti-apoptosis gene Bcl2. Moreover, miR-139-5p inhibited cellular metastasis through inhibition of matrix metalloproteinases (MMP)-7 and MMP-9. Further, oncogene c-Met was revealed to be a putative target of miR-139-5p, which was inversely correlated with miR-139-5p expression. Taken together, our results demonstrated that miR-139-5p plays a pivotal role in lung cancer through inhibiting cell proliferation, metastasis, and promoting apoptosis by targeting oncogenic c-Met. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hsa-miRNA-139-5p%20%28miR-139-5p%29" title="hsa-miRNA-139-5p (miR-139-5p)">hsa-miRNA-139-5p (miR-139-5p)</a>, <a href="https://publications.waset.org/abstracts/search?q=c-Met" title=" c-Met"> c-Met</a>, <a href="https://publications.waset.org/abstracts/search?q=non-small%20cell%20lung%20cancer%20%28NSCLC%29" title=" non-small cell lung cancer (NSCLC)"> non-small cell lung cancer (NSCLC)</a>, <a href="https://publications.waset.org/abstracts/search?q=proliferation" title=" proliferation"> proliferation</a>, <a href="https://publications.waset.org/abstracts/search?q=apoptosis" title=" apoptosis"> apoptosis</a> </p> <a href="https://publications.waset.org/abstracts/41708/hsa-mir-139-5p-acts-as-a-tumor-suppressor-by-targeting-c-met-in-non-small-cell-lung-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41708.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">343</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=miRNA%3AmRNA%20target%20prediction&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=miRNA%3AmRNA%20target%20prediction&page=3">3</a></li> <li class="page-item"><a class="page-link" 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