CINXE.COM

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Search results for: mecA genes</title> <meta name="description" content="Search results for: mecA genes"> <meta name="keywords" content="mecA genes"> <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 class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="mecA genes" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" 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="mecA genes"> <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> 934</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: mecA genes</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">814</span> Network Based Molecular Profiling of Intracranial Ependymoma over Spinal Ependymoma</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hyeon%20Su%20Kim">Hyeon Su Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungjin%20Park"> Sungjin Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Hae%20Ryung%20Chang"> Hae Ryung Chang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hae%20Rim%20Jung"> Hae Rim Jung</a>, <a href="https://publications.waset.org/abstracts/search?q=Young%20Zoo%20Ahn"> Young Zoo Ahn</a>, <a href="https://publications.waset.org/abstracts/search?q=Yon%20Hui%20Kim"> Yon Hui Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Seungyoon%20Nam"> Seungyoon Nam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ependymoma, one of the most common parenchymal spinal cord tumor, represents 3-6% of all CNS tumor. Especially intracranial ependymomas, which are more frequent in childhood, have a more poor prognosis and more malignant than spinal ependymomas. Although there are growing needs to understand pathogenesis, detailed molecular understanding of pathogenesis remains to be explored. A cancer cell is composed of complex signaling pathway networks, and identifying interaction between genes and/or proteins are crucial for understanding these pathways. Therefore, we explored each ependymoma in terms of differential expressed genes and signaling networks. We used Microsoft Excel™ to manipulate microarray data gathered from NCBI’s GEO Database. To analyze and visualize signaling network, we used web-based PATHOME algorithm and Cytoscape. We show HOX family and NEFL are down-regulated but SCL family is up-regulated in cerebrum and posterior fossa cancers over a spinal cancer, and JAK/STAT signaling pathway and Chemokine signaling pathway are significantly different in the both intracranial ependymoma comparing to spinal ependymoma. We are considering there may be an age-dependent mechanism under different histological pathogenesis. We annotated mutation data of each gene subsequently in order to find potential target genes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=systems%20biology" title="systems biology">systems biology</a>, <a href="https://publications.waset.org/abstracts/search?q=ependymoma" title=" ependymoma"> ependymoma</a>, <a href="https://publications.waset.org/abstracts/search?q=deg" title=" deg"> deg</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20analysis" title=" network analysis"> network analysis</a> </p> <a href="https://publications.waset.org/abstracts/50168/network-based-molecular-profiling-of-intracranial-ependymoma-over-spinal-ependymoma" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50168.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">298</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">813</span> Identification of Significant Genes in Rheumatoid Arthritis, Melanoma Metastasis, Ulcerative Colitis and Crohn’s Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Krishna%20Pal%20Singh">Krishna Pal Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Shailendra%20Kumar%20Gupta"> Shailendra Kumar Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Olaf%20Wolkenhauer"> Olaf Wolkenhauer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Our study aimed to identify common genes and potential targets across the four diseases, which include rheumatoid arthritis, melanoma metastasis, ulcerative colitis, and Crohn’s disease. We used a network and systems biology approach to identify the hub gene, which can act as a potential target for all four disease conditions. The regulatory network was extracted from the PPI using the MCODE module present in Cytoscape. Our objective was to investigate the significance of hub genes in these diseases using gene ontology and KEGG pathway enrichment analysis. Methods: Our methodology involved collecting disease gene-related information from DisGeNET databases and performing protein-protein interaction (PPI) network and core genes screening. We then conducted gene ontology and KEGG pathway enrichment analysis. Results: We found that IL6 plays a critical role in all disease conditions and in different pathways that can be associated with the development of all four diseases. Conclusions: The theoretical importance of our research is that we employed various systems and structural biology techniques to identify a crucial protein that could serve as a promising target for treating multiple diseases. Our data collection and analysis procedures involved rigorous scrutiny, ensuring high-quality results. Our conclusion is that IL6 plays a significant role in all four diseases, and it can act as a potential target for treating them. Our findings may have important implications for the development of novel therapeutic interventions for these diseases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=melanoma%20metastasis" title="melanoma metastasis">melanoma metastasis</a>, <a href="https://publications.waset.org/abstracts/search?q=rheumatoid%20arthritis" title=" rheumatoid arthritis"> rheumatoid arthritis</a>, <a href="https://publications.waset.org/abstracts/search?q=inflammatory%20bowel%20diseases" title=" inflammatory bowel diseases"> inflammatory bowel diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20bioinformatics%20analysis" title=" integrated bioinformatics analysis"> integrated bioinformatics analysis</a> </p> <a href="https://publications.waset.org/abstracts/168255/identification-of-significant-genes-in-rheumatoid-arthritis-melanoma-metastasis-ulcerative-colitis-and-crohns-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168255.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">89</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">812</span> Early Transcriptome Responses to Piscine orthoreovirus-1 in Atlantic salmon Erythrocytes Compared to Salmonid Kidney Cell Lines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thomais%20Tsoulia">Thomais Tsoulia</a>, <a href="https://publications.waset.org/abstracts/search?q=Arvind%20Y.%20M.%20Sundaram"> Arvind Y. M. Sundaram</a>, <a href="https://publications.waset.org/abstracts/search?q=Stine%20Braaen"> Stine Braaen</a>, <a href="https://publications.waset.org/abstracts/search?q=%C3%98yvind%20Haugland"> Øyvind Haugland</a>, <a href="https://publications.waset.org/abstracts/search?q=Espen%20Rimstad"> Espen Rimstad</a>, <a href="https://publications.waset.org/abstracts/search?q=%C3%98ystein%20%20Wessel"> Øystein Wessel</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20K.%20Dahle"> Maria K. Dahle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fish red blood cells (RBC) are nucleated, and in addition to their function in gas exchange, they have been characterized as mediators of immune responses. Salmonid RBC are the major target cells of Piscineorthoreovirus (PRV), a virus associated with heart and skeletal muscle inflammation (HSMI) in farmed Atlantic salmon. The activation of antiviral response genesin RBChas previously been described in ex vivo and in vivo PRV-infection models, but not explored in the initial virus encounter phase. In the present study, mRNA transcriptome responses were explored in erythrocytes from individual fish, kept ex vivo, and exposed to purified PRV for 24 hours. The responses were compared to responses in macrophage-like salmon head kidney (SHK-1) and endothelial-like Atlantic salmon kidney (ASK) cells, none of which support PRV replication. The comparative analysis showed that the antiviral response to PRV was strongest in the SHK-1 cells, with a set of 80 significantly induced genes (≥ 2-fold upregulation). In RBC, 46 genes were significantly upregulated, while ASK cells were not significantly responsive. In particular, the transcriptome analysis of RBC revealed that PRV significantly induced interferon regulatory factor 1 (IRF1) and interferon-induced protein with tetratricopeptide repeats 5-like (IFIT9). However, several interferon-regulated antiviral genes which have previously been reported upregulated in PRV infected RBC in vivo (myxovirus resistance (Mx), interferon-stimulated gene 15 (ISG15), toll-like receptor 3 (TLR3)), were not significantly induced after 24h of virus stimulation. In contrast to RBC, these antiviral response genes were significantly upregulated in SHK-1. These results confirm that RBC are involved in the innate immune response to viruses, but with a delayed antiviral response compared to SHK-1. A notable difference is that interferon regulatory factor 1 (IRF-1) is the most strongly induced gene in RBC, but not among the significantly induced genes in SHK-1. Putative differences in the binding, recognition, and response to PRV, and any link to effects on the ability of PRV to replicate remains to be explored. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antiviral%20responses" title="antiviral responses">antiviral responses</a>, <a href="https://publications.waset.org/abstracts/search?q=atlantic%20salmon" title=" atlantic salmon"> atlantic salmon</a>, <a href="https://publications.waset.org/abstracts/search?q=piscine%20%20orthoreovirus-1" title=" piscine orthoreovirus-1"> piscine orthoreovirus-1</a>, <a href="https://publications.waset.org/abstracts/search?q=red%20blood%20cells" title=" red blood cells"> red blood cells</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA-seq" title=" RNA-seq"> RNA-seq</a> </p> <a href="https://publications.waset.org/abstracts/144712/early-transcriptome-responses-to-piscine-orthoreovirus-1-in-atlantic-salmon-erythrocytes-compared-to-salmonid-kidney-cell-lines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144712.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">189</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">811</span> Dual-functional Peptide With Defective Interfering Genes Protecting Mice From Avian and Seasonal Influenza Virus Infection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hanjun%20Zhao">Hanjun Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Limited efficacy of current antivirals and antiviral-resistant mutations impair anti-influenza treatment. Here, we evaluated the in vitro and in vivo antiviral effect of three defective interfering genes (DIG-3) of influenza virus. Virus replication was significantly reduced in 293T and A549 cells transfected with DIG-3. Mice transfected with DIG-3 encoded by jetPEI-vector, as prophylaxis and therapeutics against A(H7N7) virus respectively, had significantly better survivals (80% and 50%) than control mice (0%). We further developed a dual-functional peptide TAT-P1, which delivers DIG-3 with high transfection efficiency and concomitantly exerts antiviral activity by preventing endosomal acidification. TAT-P1/DIG-3 was more effective than jetPEI/DIG-3 in treating A(H7N7) or A(H1N1)pdm09-infected mice and showed potent prophylactic protection on A(H7N7) or A(H1N1)pdm09-infected mice. The addition of P1 peptide, preventing endosomal acidification, could enhance the protection of TAT-P1/DIG-3 on A(H1N1)pdm09-infected mice. Dual-functional TAT-P1 with DIG-3 can effectively protect or treat mice infected by avian and seasonal influenza virus infection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antiviral%20peptide" title="antiviral peptide">antiviral peptide</a>, <a href="https://publications.waset.org/abstracts/search?q=dual-functional%20peptide" title=" dual-functional peptide"> dual-functional peptide</a>, <a href="https://publications.waset.org/abstracts/search?q=defective%20interfering%20genes" title=" defective interfering genes"> defective interfering genes</a>, <a href="https://publications.waset.org/abstracts/search?q=influenza%20virus" title=" influenza virus"> influenza virus</a> </p> <a href="https://publications.waset.org/abstracts/98170/dual-functional-peptide-with-defective-interfering-genes-protecting-mice-from-avian-and-seasonal-influenza-virus-infection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98170.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">122</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">810</span> RNAseq Reveals Hypervirulence-Specific Host Responses to M. tuberculosis Infection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gina%20Leisching">Gina Leisching</a>, <a href="https://publications.waset.org/abstracts/search?q=Ray-Dean%20Pietersen"> Ray-Dean Pietersen</a>, <a href="https://publications.waset.org/abstracts/search?q=Carel%20Van%20Heerden"> Carel Van Heerden</a>, <a href="https://publications.waset.org/abstracts/search?q=Paul%20Van%20Helden"> Paul Van Helden</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20Wiid"> Ian Wiid</a>, <a href="https://publications.waset.org/abstracts/search?q=Bienyameen%20Baker"> Bienyameen Baker</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The distinguishing factors that characterize the host response to infection with virulent Mycobacterium tuberculosis (M.tb) are largely confounding. We present an infection study with two genetically closely related M.tb strains that have vastly different pathogenic characteristics. The early host response to infection with these detergent-free cultured strains was analyzed through RNAseq in an attempt to provide information on the subtleties which may ultimately contribute to the virulent phenotype. Murine bone marrow-derived macrophages (BMDMs) were infected with either a hyper- (R5527) or hypovirulent (R1507) Beijing M. tuberculosis clinical isolate. RNAseq revealed 69 differentially expressed host genes in BMDMs during comparison of these two transcriptomes. Pathway analysis revealed activation of the stress-induced and growth inhibitory Gadd45 signaling pathway in hypervirulent infected BMDMs. Upstream regulators of interferon activation such as and IRF3 and IRF7 were predicted to be upregulated in hypovirulent-infected BMDMs. Additional analysis of the host immune response through ELISA and qPCR included the use of human THP-1 macrophages where a robust proinflammatory response was observed after infection with the hypervirulent strain. RNAseq revealed two early-response genes (IER3 and SAA3) and two host-defence genes (OASL1 and SLPI) that were significantly upregulated by the hypervirulent strain. The role of these genes under M.tb infection conditions are largely unknown but here we provide validation of their presence with use of qPCR and Western blot. Further analysis into their biological role under infection with virulent M.tb is required. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=host-response" title="host-response">host-response</a>, <a href="https://publications.waset.org/abstracts/search?q=Mycobacterium%20tuberculosis" title=" Mycobacterium tuberculosis"> Mycobacterium tuberculosis</a>, <a href="https://publications.waset.org/abstracts/search?q=RNAseq" title=" RNAseq"> RNAseq</a>, <a href="https://publications.waset.org/abstracts/search?q=virulence" title=" virulence"> virulence</a> </p> <a href="https://publications.waset.org/abstracts/59133/rnaseq-reveals-hypervirulence-specific-host-responses-to-m-tuberculosis-infection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59133.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">210</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">809</span> Role of Tyrosine-Phosphorylated STAT3 in Liver Regeneration: Survival, DNA Synthesis, Inflammatory Reaction and Liver Mass Recovery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=JiYoung%20Park">JiYoung Park</a>, <a href="https://publications.waset.org/abstracts/search?q=SueGoo%20Rhee"> SueGoo Rhee</a>, <a href="https://publications.waset.org/abstracts/search?q=HyunAe%20Woo"> HyunAe Woo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In liver regeneration, quiescent hepatocytes need to be primed to fully respond to growth factors such as hepatocyte growth factor. To understand the priming process, it is necessary to analyze patterns of gene expression that occur during liver regeneration after partial hepatectomy (PHx). Recently, tyrosine phosphorylation of signal transducer and activator of transcription 3 (pYSTAT3) has been shown to play an important role in initiating liver regeneration. In order to evaluate the role of pYSTAT3 on liver regeneration after PHx, we used an intrabody which can selectively inhibit pYSTAT3. In our previous studies, an intrabody had been shown that it bound specifically to the pYSTAT3. Adenovirus-mediated expression of the intrabody in HepG2 cells, as well as mouse liver, blocked both accumulation of pYSTAT3 in the nucleus and downstream target of pYSTAT3. In this study, PHx was performed on intrabody-expressing mice and the expression levels of liver regeneration-related genes were analyzed. We also measured liver/body weight ratios and the related cellular signaling pathways were analyzed. Acute phase response genes were reduced in an intrabody-expressing mice during liver regeneration than in control virus-injected mice. However, the time course of liver mass restoration in intrabody-expressing mice was similar to that observed in control virus-injected mice. We also observed that the expression levels of anti-apoptotic genes, such as Bcl2 and Bcl-xL were decreased in intrabody-expressing mice whereas the expression of cell cycle-related genes such as cyclin D1, and c-myc was increased. Liver regeneration after PHx was partially impaired by the selective inhibition of pYSTAT3 with a phosphorylation site-specific intrabody and these results indicated that pYSTAT3 might have limited role in liver mass recovery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=STAT3" title="STAT3">STAT3</a>, <a href="https://publications.waset.org/abstracts/search?q=pYSTAT3" title=" pYSTAT3"> pYSTAT3</a>, <a href="https://publications.waset.org/abstracts/search?q=liver%20regeneration" title=" liver regeneration"> liver regeneration</a>, <a href="https://publications.waset.org/abstracts/search?q=intrabody" title=" intrabody "> intrabody </a> </p> <a href="https://publications.waset.org/abstracts/47847/role-of-tyrosine-phosphorylated-stat3-in-liver-regeneration-survival-dna-synthesis-inflammatory-reaction-and-liver-mass-recovery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47847.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">808</span> BRG1 and Ep300 as a Transcriptional Regulators of Breast Cancer Growth</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maciej%20Sobczak">Maciej Sobczak</a>, <a href="https://publications.waset.org/abstracts/search?q=Julita%20Pietrzak"> Julita Pietrzak</a>, <a href="https://publications.waset.org/abstracts/search?q=Tomasz%20P%C5%82oszaj"> Tomasz Płoszaj</a>, <a href="https://publications.waset.org/abstracts/search?q=Agnieszka%20Robaszkiewicz"> Agnieszka Robaszkiewicz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Brg1, a member of SWI/SNF complex, plays a role in chromatin remodeling, therefore, regulates expression of many genes. Brg1 is an ATPase of SWI/SNF complex, thus its activity requires ATP. Through its bromodomain recognizes acetylated histone residues and evicts them, thus promoting transcriptionally active state of chromatin. One of the enzymes that is responsible for acetylation of histone residues is Ep300. It was previously shown in the literature that cooperation of Brg1 and Ep300 occurs at the promoter regions that have binding sites for E2F-family transcription factors as well as CpG islands. According to literature, approximately 20% of human cancer possess mutation in Brg1 or any other crucial SWI/SNF subunit. That phenomenon makes Brg1-Ep300 a very promising target for anti-cancer therapy. Therefore in our study, we investigated if physical interaction between Brg1 and Ep300 exists and what impact those two proteins have on key for breast cancer cells processes such as DNA damage repair and cell proliferation. Bioinformatical analysis pointed out, that genes involved in cell proliferation and DNA damage repair are overexpressed in MCF7 and MDA-MB-231 cells. Moreover, promoter regions of these genes are highly acetylated, which suggests high transcriptional activity of those sites. Notably, many of those gene possess within their promoters an E2F, Brg1 motives, as well as CpG islands and acetylated histones. Our data show that Brg1 physically interacts with Ep300, and together they regulate expression of genes involved in DNA damage repair and cell proliferation. Upon inhibiting Brg1 or Ep300, expression of vital for cancer cell survival genes such as CDK2/4, BRCA1/2, PCNA, and XRCC1 is decreased in MDA-MB-231 and MCF7 cells. Moreover, inhibition or silencing of either Brg1 or Ep300 leads to cell cycle arrest in G1. After inhibition of BRG1 or Ep300 on tested gene promoters, the repressor complex including Rb, HDAC1, and EZH2 is formed, which inhibits gene expression. These results highlight potentially significant target for targeted anticancer therapy to be introduced as a supportive therapy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=brg1" title="brg1">brg1</a>, <a href="https://publications.waset.org/abstracts/search?q=ep300" title=" ep300"> ep300</a>, <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=epigenetics" title=" epigenetics"> epigenetics</a> </p> <a href="https://publications.waset.org/abstracts/144592/brg1-and-ep300-as-a-transcriptional-regulators-of-breast-cancer-growth" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144592.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">183</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">807</span> Identification of Rare Mutations in Genes Involved in Monogenic Forms of Obesity and Diabetes in Obese Guadeloupean Children through Next-Generation Sequencing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lydia%20Foucan">Lydia Foucan</a>, <a href="https://publications.waset.org/abstracts/search?q=Laurent%20Larifla"> Laurent Larifla</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuelle%20Durand"> Emmanuelle Durand</a>, <a href="https://publications.waset.org/abstracts/search?q=Christine%20%20Rambhojan"> Christine Rambhojan</a>, <a href="https://publications.waset.org/abstracts/search?q=Veronique%20Dhennin"> Veronique Dhennin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Marc%20Lacorte"> Jean-Marc Lacorte</a>, <a href="https://publications.waset.org/abstracts/search?q=Philippe%20%20Froguel"> Philippe Froguel</a>, <a href="https://publications.waset.org/abstracts/search?q=Amelie%20Bonnefond"> Amelie Bonnefond</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the population of Guadeloupe Island (472,124 inhabitants and 80% of subjects of African descent), overweight and obesity were estimated at 23% and 9% respectively among children. High prevalence of diabetes has been reported (~10%) in the adult population. Nevertheless, no study has investigated the contribution of gene mutations to childhood obesity in this population. We aimed to investigate rare genetic mutations in genes involved in monogenic obesity or diabetes in obese Afro-Caribbean children from Guadeloupe Island using next-generation sequencing. The present investigation included unrelated obese children, from a previous study on overweight conducted in Guadeloupe Island in 2013. We sequenced coding regions of 59 genes involved in monogenic obesity or diabetes. A total of 25 obese schoolchildren (with Z-score of body mass index [BMI]: 2.0 to 2.8) were screened for rare mutations (non-synonymous, splice-site, or insertion/deletion) in 59 genes. Mean age of the study population was 12.4 ± 1.1 years. Seventeen children (68%) had insulin-resistance (HOMA-IR > 3.16). A family history of obesity (mother or father) was observed in eight children and three of the accompanying parent presented with type 2 diabetes. None of the children had gonadotrophic abnormality or mental retardation. We detected five rare heterozygous mutations, in four genes involved in monogenic obesity, in five different obese children: MC4R p.Ile301Thr and SIM1 p.Val326Thrfs*43 mutations which were pathogenic; SIM1 p.Ser343Pro and SH2B1 p.Pro90His mutations which were likely pathogenic; and NTRK2 p.Leu140Phe that was of uncertain significance. In parallel, we identified seven carriers of mutation in ABCC8 or KCNJ11 (involved in monogenic diabetes), which were of uncertain significance (KCNJ11 p.Val13Met, KCNJ11 p.Val151Met, ABCC8 p.Lys1521Asn and ABCC8 p.Ala625Val). Rare pathogenic or likely pathogenic mutations, linked to severe obesity were detected in more than 15% of this Afro-Caribbean population at high risk of obesity and type 2 diabetes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=childhood%20obesity" title="childhood obesity">childhood obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=MC4R" title=" MC4R"> MC4R</a>, <a href="https://publications.waset.org/abstracts/search?q=monogenic%20obesity" title=" monogenic obesity"> monogenic obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=SIM1" title=" SIM1"> SIM1</a> </p> <a href="https://publications.waset.org/abstracts/86920/identification-of-rare-mutations-in-genes-involved-in-monogenic-forms-of-obesity-and-diabetes-in-obese-guadeloupean-children-through-next-generation-sequencing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86920.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">193</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">806</span> Identification of Candidate Congenital Heart Defects Biomarkers by Applying a Random Forest Approach on DNA Methylation Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kan%20Yu">Kan Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Khui%20Hung%20Lee"> Khui Hung Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Eben%20Afrifa-Yamoah"> Eben Afrifa-Yamoah</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Guo"> Jing Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Katrina%20Harrison"> Katrina Harrison</a>, <a href="https://publications.waset.org/abstracts/search?q=Jack%20Goldblatt"> Jack Goldblatt</a>, <a href="https://publications.waset.org/abstracts/search?q=Nicholas%20Pachter"> Nicholas Pachter</a>, <a href="https://publications.waset.org/abstracts/search?q=Jitian%20Xiao"> Jitian Xiao</a>, <a href="https://publications.waset.org/abstracts/search?q=Guicheng%20Brad%20Zhang"> Guicheng Brad Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and Significance of the Study: Congenital Heart Defects (CHDs) are the most common malformation at birth and one of the leading causes of infant death. Although the exact etiology remains a significant challenge, epigenetic modifications, such as DNA methylation, are thought to contribute to the pathogenesis of congenital heart defects. At present, no existing DNA methylation biomarkers are used for early detection of CHDs. The existing CHD diagnostic techniques are time-consuming and costly and can only be used to diagnose CHDs after an infant was born. The present study employed a machine learning technique to analyse genome-wide methylation data in children with and without CHDs with the aim to find methylation biomarkers for CHDs. Methods: The Illumina Human Methylation EPIC BeadChip was used to screen the genome‐wide DNA methylation profiles of 24 infants diagnosed with congenital heart defects and 24 healthy infants without congenital heart defects. Primary pre-processing was conducted by using RnBeads and limma packages. The methylation levels of top 600 genes with the lowest p-value were selected and further investigated by using a random forest approach. ROC curves were used to analyse the sensitivity and specificity of each biomarker in both training and test sample sets. The functionalities of selected genes with high sensitivity and specificity were then assessed in molecular processes. Major Findings of the Study: Three genes (MIR663, FGF3, and FAM64A) were identified from both training and validating data by random forests with an average sensitivity and specificity of 85% and 95%. GO analyses for the top 600 genes showed that these putative differentially methylated genes were primarily associated with regulation of lipid metabolic process, protein-containing complex localization, and Notch signalling pathway. The present findings highlight that aberrant DNA methylation may play a significant role in the pathogenesis of congenital heart defects. <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=congenital%20heart%20defects" title=" congenital heart defects"> congenital heart defects</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA%20methylation" title=" DNA methylation"> DNA methylation</a>, <a href="https://publications.waset.org/abstracts/search?q=random%20forest" title=" random forest"> random forest</a> </p> <a href="https://publications.waset.org/abstracts/133541/identification-of-candidate-congenital-heart-defects-biomarkers-by-applying-a-random-forest-approach-on-dna-methylation-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133541.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">158</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">805</span> The Use of Medical Biotechnology to Treat Genetic Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rachel%20Matar">Rachel Matar</a>, <a href="https://publications.waset.org/abstracts/search?q=Maxime%20Merheb"> Maxime Merheb</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Chemical drugs have been used for many centuries as the only way to cure diseases until the novel gene therapy has been created in 1960. Gene therapy is based on the insertion, correction, or inactivation of genes to treat people with genetic illness (1). Gene therapy has made wonders in Parkison’s, Alzheimer and multiple sclerosis. In addition to great promises in the healing of deadly diseases like many types of cancer and autoimmune diseases (2). This method implies the use of recombinant DNA technology with the help of different viral and non-viral vectors (3). It is nowadays used in somatic cells as well as embryos and gametes. Beside all the benefits of gene therapy, this technique is deemed by some opponents as an ethically unacceptable treatment as it implies playing with the genes of living organisms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gene%20therapy" title="gene therapy">gene therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20disease" title=" genetic disease"> genetic disease</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer" title=" cancer"> cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20sclerosis" title=" multiple sclerosis"> multiple sclerosis</a> </p> <a href="https://publications.waset.org/abstracts/46593/the-use-of-medical-biotechnology-to-treat-genetic-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46593.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">541</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">804</span> Genomic and Transcriptomic Analysis of Antibiotic Resistance Genes in Biological Wastewater Treatment Systems Treating Domestic and Hospital Effluents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thobela%20Conco">Thobela Conco</a>, <a href="https://publications.waset.org/abstracts/search?q=Sheena%20Kumari"> Sheena Kumari</a>, <a href="https://publications.waset.org/abstracts/search?q=Chika%20Nnadozie"> Chika Nnadozie</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Nasr"> Mahmoud Nasr</a>, <a href="https://publications.waset.org/abstracts/search?q=Thor%20A.%20Stenstr%C3%B6m"> Thor A. Stenström</a>, <a href="https://publications.waset.org/abstracts/search?q=Mushal%20Ali"> Mushal Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Arshad%20Ismail"> Arshad Ismail</a>, <a href="https://publications.waset.org/abstracts/search?q=Faizal%20Bux"> Faizal Bux</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The discharge of antibiotics and its residues into the wastewater treatment plants (WWTP’s) create a conducive environment for the development of antibiotic resistant pathogens. This presents a risk of potential dissemination of antibiotic resistant pathogens and antibiotic resistance genes into the environment. It is, therefore, necessary to study the level of antibiotic resistance genes (ARG’s) among bacterial pathogens that proliferate in biological wastewater treatment systems. In the current study, metagenomic and meta-transcriptomic sequences of samples collected from the influents, secondary effluents and post chlorinated effluents of three wastewater treatment plants treating domestic and hospital effluents in Durban, South Africa, were analyzed for profiling of ARG’s among bacterial pathogens. Results show that a variety of ARG’s, mostly, aminoglycoside, β-lactamases, tetracycline and sulfonamide resistance genes were harbored by diverse bacterial genera found at different stages of treatment. A significant variation in diversity of pathogen and ARGs between the treatment plant was observed; however, treated final effluent samples from all three plants showed a significant reduction in bacterial pathogens and detected ARG’s. Both pre- and post-chlorinated samples showed the presence of mobile genetic elements (MGE’s), indicating the inefficiency of chlorination to remove of ARG’s integrated with MGE’s. In conclusion, the study showed the wastewater treatment plant efficiently caused the reduction and removal of certain ARG’s, even though the initial focus was the removal of biological nutrients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antibiotic%20resistance" title="antibiotic resistance">antibiotic resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20genetic%20elements" title=" mobile genetic elements"> mobile genetic elements</a>, <a href="https://publications.waset.org/abstracts/search?q=wastewater" title=" wastewater"> wastewater</a>, <a href="https://publications.waset.org/abstracts/search?q=wastewater%20treatment%20plants" title=" wastewater treatment plants"> wastewater treatment plants</a> </p> <a href="https://publications.waset.org/abstracts/109116/genomic-and-transcriptomic-analysis-of-antibiotic-resistance-genes-in-biological-wastewater-treatment-systems-treating-domestic-and-hospital-effluents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109116.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">219</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">803</span> Combining Transcriptomics, Bioinformatics, Biosynthesis Networks and Chromatographic Analyses for Cotton Gossypium hirsutum L. Defense Volatiles Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ronald%20Villamar-Torres">Ronald Villamar-Torres</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Staudt"> Michael Staudt</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20Viot"> Christopher Viot</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cotton Gossypium hirsutum L. is one of the most important industrial crops, producing the world leading natural textile fiber, but is very prone to arthropod attacks that reduce crop yield and quality. Cotton cultivation, therefore, makes an outstanding use of chemical pesticides. In reaction to herbivorous arthropods, cotton plants nevertheless show natural defense reactions, in particular through volatile organic compounds (VOCs) emissions. These natural defense mechanisms are nowadays underutilized but have a very high potential for cotton cultivation, and elucidating their genetic bases will help to improve their use. Simulating herbivory attacks by mechanical wounding of cotton plants in greenhouse, we studied by qPCR the changes in gene expression for genes of the terpenoids biosynthesis pathway. Differentially expressed genes corresponded to higher levels of the terpenoids biosynthesis pathway and not to enzymes synthesizing particular terpenoids. The genes were mapped on the G. hirsutum L. reference genome; their global relationships inside the general metabolic pathways and the biosynthesis of secondary metabolites were visualized with iPath2. The chromatographic profiles of VOCs emissions indicated first monoterpenes and sesquiterpenes emissions, dominantly four molecules known to be involved in plant reactions to arthropod attacks. As a result, the study permitted to identify potential key genes for the emission of volatile terpenoids by cotton plants in reaction to an arthropod attack, opening possibilities for molecular-assisted cotton breeding in benefit of smallholder cotton growers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biosynthesis%20pathways" title="biosynthesis pathways">biosynthesis pathways</a>, <a href="https://publications.waset.org/abstracts/search?q=cotton" title=" cotton"> cotton</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanisms%20of%20plant%20defense" title=" mechanisms of plant defense"> mechanisms of plant defense</a>, <a href="https://publications.waset.org/abstracts/search?q=terpenoids" title=" terpenoids"> terpenoids</a>, <a href="https://publications.waset.org/abstracts/search?q=volatile%20organic%20compounds" title=" volatile organic compounds"> volatile organic compounds</a> </p> <a href="https://publications.waset.org/abstracts/85874/combining-transcriptomics-bioinformatics-biosynthesis-networks-and-chromatographic-analyses-for-cotton-gossypium-hirsutum-l-defense-volatiles-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85874.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">374</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">802</span> Molecular Study of P53- and Rb-Tumor Suppressor Genes in Human Papilloma Virus-Infected Breast Cancers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shakir%20H.%20Mohammed%20Al-Alwany">Shakir H. Mohammed Al-Alwany</a>, <a href="https://publications.waset.org/abstracts/search?q=Saad%20Hasan%20M.%20Ali"> Saad Hasan M. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Mohammed%20S.%20Shnawa"> Ibrahim Mohammed S. Shnawa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study was aimed to define the percentage of detection of high-oncogenic risk types of HPV and their genotyping in archival tissue specimens that ranged from apparently healthy tissue to invasive breast cancer by using one of the recent versions of In Situ Hybridization(ISH) 0.2. To find out rational significance of such genotypes as well as over expressed products of mutants P53 and RB genes on the severity of underlying breast cancers. The DNA of HPV was detected in 46.5 % of tissues from breast cancers while HPV DNA in the tissues from benign breast tumours was detected in 12.5%. No HPV positive–ISH reaction was detected in healthy breast tissues of the control group. HPV DNA of genotypes (16, 18, 31 and 33) was detected in malignant group in frequency of 25.6%, 27.1%, 30.2% and 12.4%, respectively. Over expression of p53 was detected by IHC in 51.2% breast cancer cases and in 50% benign breast tumour group, while none of control group showed P53- over expression. Retinoblastoma protein was detected by IHC test in 49.7% of malignant breast tumours, 54.2% of benign breast tumours but no signal was reported in the tissues of control group. The significance prevalence of expression of mutated p53 & Rb genes as well as detection of high-oncogenic HPV genotypes in patients with breast cancer supports the hypothesis of an etiologic role for the virus in breast cancer development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20papilloma%20virus" title="human papilloma virus">human papilloma virus</a>, <a href="https://publications.waset.org/abstracts/search?q=P53" title=" P53"> P53</a>, <a href="https://publications.waset.org/abstracts/search?q=RB" title=" RB"> RB</a>, <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title=" breast cancer"> breast cancer</a> </p> <a href="https://publications.waset.org/abstracts/5535/molecular-study-of-p53-and-rb-tumor-suppressor-genes-in-human-papilloma-virus-infected-breast-cancers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5535.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">480</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">801</span> Understanding the Mechanisms of Salmonella Typhimurium Resistance to Cannabidiol (CDB)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Iddrisu%20Ibrahim">Iddrisu Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Joseph%20Atia%20Ayariga"> Joseph Atia Ayariga</a>, <a href="https://publications.waset.org/abstracts/search?q=Junhuan%20Xu"> Junhuan Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20A.%20Abugri"> Daniel A. Abugri</a>, <a href="https://publications.waset.org/abstracts/search?q=Robertson%20K.%20Boakai"> Robertson K. Boakai</a>, <a href="https://publications.waset.org/abstracts/search?q=Olufemi%20S.%20Ajayi"> Olufemi S. Ajayi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The recalcitrance of pathogenic bacteria indicates that millions of people who are at risk of infection arising from chronic diseases, surgery, organ transplant, diabetes, and several other debilitating diseases present an aura of potentially untreatable illness due to resistance development. Antimicrobial resistance has successfully become a global health menace, and resistances are often acquired by bacteria through health-care-related incidence (HRI) orchestrated by multi-drug resistant (MDR) and extended drug-resistant pathogens (EDRP). To understand the mechanisms S. Typhimurium uses to resist CDB, we study the abundance of LPS modification, Ergosterols, Mysristic palmitic resistance, Oleic acid resistance of susceptible and resistant S. Typhimurium. Using qPCR, we also analyzed the expression of selected genes known for enabling resistance in S. Typhimurium. We found high abundance of LPS, Ergosterols, Mysristic palmitic resistance, Oleic acid resistance of and high expression of resistant genes in S. Typhimurium compared to the susceptible strain. LPS modification, Ergosterols, Mysristic palmitic resistance, Oleic acid and genes such as Fims, integrons, blaTEM are important indicators of resistance development of S. typhimurium. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antimicrobials" title="antimicrobials">antimicrobials</a>, <a href="https://publications.waset.org/abstracts/search?q=resistance" title=" resistance"> resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=Cannabidiol" title=" Cannabidiol"> Cannabidiol</a>, <a href="https://publications.waset.org/abstracts/search?q=Salmonella" title=" Salmonella"> Salmonella</a>, <a href="https://publications.waset.org/abstracts/search?q=blaTEM" title=" blaTEM"> blaTEM</a>, <a href="https://publications.waset.org/abstracts/search?q=fimA" title=" fimA"> fimA</a>, <a href="https://publications.waset.org/abstracts/search?q=Lipopolysaccharide" title=" Lipopolysaccharide"> Lipopolysaccharide</a>, <a href="https://publications.waset.org/abstracts/search?q=Ergosterols" title=" Ergosterols"> Ergosterols</a> </p> <a href="https://publications.waset.org/abstracts/182736/understanding-the-mechanisms-of-salmonella-typhimurium-resistance-to-cannabidiol-cdb" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182736.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">85</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">800</span> Internal Mercury Exposure Levels Correlated to DNA Methylation of Imprinting Gene H19 in Human Sperm of Reproductive-Aged Man</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhaoxu%20Lu">Zhaoxu Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yufeng%20Ma"> Yufeng Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Linying%20Gao"> Linying Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Wang"> Li Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Mei%20Qiang"> Mei Qiang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mercury (Hg) is a well-recognized environmental pollutant known by its toxicity of development and neurotoxicity, which may result in adverse health outcomes. However, the mechanisms underlying the teratogenic effects of Hg are not well understood. Imprinting genes are emerging regulators for fetal development subject to environmental pollutants impacts. In this study, we examined the association between paternal preconception Hg exposures and the alteration of DNA methylation of imprinting genes in human sperm DNA. A total of 618 men aged from 22 to 59 was recruited from the Reproductive Medicine Clinic of Maternal and Child Care Service Center and the Urologic Surgery Clinic of Shanxi Academy of Medical Sciences during April 2015 and March 2016. Demographic information was collected using questionnaires. Urinary Hg concentrations were measured using a fully-automatic double-channel hydride generation atomic fluorescence spectrometer. And methylation status in the DMRs of imprinting genes H19, Meg3 and Peg3 of sperm DNA were examined by bisulfite pyrosequencing in 243 participants. Spearman’s rank and multivariate regression analysis were used for correlation analysis between sperm DNA methylation status of imprinting genes and urinary Hg levels. The median concentration of Hg for participants overall was 9.09μg/l (IQR: 5.54 - 12.52μg/l; range = 0 - 71.35μg/l); no significant difference was found in median concentrations of Hg among various demographic groups (p > 0.05). The proportion of samples that a beyond intoxication criterion (10μg/l) for urinary Hg was 42.6%. Spearman’s rank correlation analysis indicates a negative correlation between urinary Hg concentrations and average DNA methylation levels in the DMRs of imprinted genes H19 (rs=﹣0.330, p = 0.000). However, there was no such a correlation found in genes of Peg3 and Meg3. Further, we analyzed of correlation between methylation level at each CpG site of H19 and Hg level, the results showed that three out of 7 CpG sites on H19 DMR, namely CpG2 (rs =﹣0.138, p = 0.031), CpG4 (rs =﹣0.369, p = 0.000) and CpG6 (rs=﹣0.228, p = 0.000), demonstrated a significant negative correlation between methylation levels and the levels of urinary Hg. After adjusting age, smoking, drinking, intake of aquatic products and education by multivariate regression analysis, the results have shown a similar correlation. In summary, mercury nonoccupational environmental exposure in reproductive-aged men associated with altered DNA methylation outcomes at DMR of imprinting gene H19 in sperm, implicating the susceptibility of the developing sperm for environmental insults. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=epigenetics" title="epigenetics">epigenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=genomic%20imprinting%20gene" title=" genomic imprinting gene"> genomic imprinting gene</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA%20methylation" title=" DNA methylation"> DNA methylation</a>, <a href="https://publications.waset.org/abstracts/search?q=mercury" title=" mercury"> mercury</a>, <a href="https://publications.waset.org/abstracts/search?q=transgenerational%20effects" title=" transgenerational effects"> transgenerational effects</a>, <a href="https://publications.waset.org/abstracts/search?q=sperm" title=" sperm"> sperm</a> </p> <a href="https://publications.waset.org/abstracts/87570/internal-mercury-exposure-levels-correlated-to-dna-methylation-of-imprinting-gene-h19-in-human-sperm-of-reproductive-aged-man" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87570.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">261</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">799</span> Antigenic Diversity of Theileria parva Isolates from Cattle and Buffalo at the Wildlife-Livestock Interface in Southern and Eastern Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mukolwe%20D.%20Lubembe">Mukolwe D. Lubembe</a>, <a href="https://publications.waset.org/abstracts/search?q=Odongo%20O.%20David"> Odongo O. David</a>, <a href="https://publications.waset.org/abstracts/search?q=Githaka%20Naftali"> Githaka Naftali</a>, <a href="https://publications.waset.org/abstracts/search?q=Kanduma%20Esther"> Kanduma Esther</a>, <a href="https://publications.waset.org/abstracts/search?q=Marinda%20Oosthuizen"> Marinda Oosthuizen</a>, <a href="https://publications.waset.org/abstracts/search?q=Kgomotso%20P.%20Sibeko"> Kgomotso P. Sibeko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Theileriosis is a tick-borne disease of cattle caused by an apicomplexan protozoan parasite of the genus Theileria. In eastern and southern Africa, Theileria infections in cattle are caused by the species Theileria parva whose natural reservoir is the African buffalo (Syncerus caffer). Currently, East Coast Fever (ECF) caused by the cattle-derived Theileria parva is still a major problem in eastern Africa and some parts of southern Africa but not in South Africa following its eradication in the 1950s. However, Corridor disease (CD) caused by the buffalo-derived Theileria parva still remains a concern in South Africa. The diversity of Theileria parva in South Africa in comparison to other affected countries is poorly defined yet its known to be the survival strategy of this parasite. We assessed the antigenic diversity of Theileria parva isolates from Buffalo and cattle at the wildlife-livestock interface comparing samples from South Africa, Zimbabwe, Kenya, Tanzania, and Uganda. Antigenic epitopes of eight schizont antigen genes (Tp1, Tp3, Tp4, Tp5, Tp6, Tp7, Tp8 and Tp10) were amplified by PCR from genomic DNA extracted from blood samples collected from cattle and buffalo at the wildlife-livestock interface. Amplicons were purified and then sequenced on NGS platform. Full length open reading frames (ORFs) of two schizont antigen genes (Tp2 and Tp9) and one sporozoite antigen gene, p67 were also amplified from genomic DNA. Amplicons were then purified and cloned for sequencing. Analysis was based on sequence differences in the genes. Preliminary results show an extensively diverse population of Theileria parva circulating in buffalo and cattle populations at the wildlife-livestock interface. Diversity of the antigen genes contributes to the evasion of the immune system of the host by Theileria parva. This possess a concern in that, some of the Theileria parva populations may re-assort and become adapted to cattle to cause a form of theileriosis that is as fatal as ECF in areas where ECF was eradicated or is absent <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Theileria%20parva" title="Theileria parva">Theileria parva</a>, <a href="https://publications.waset.org/abstracts/search?q=east%20coast%20fever" title=" east coast fever"> east coast fever</a>, <a href="https://publications.waset.org/abstracts/search?q=corridor%20diseases" title=" corridor diseases"> corridor diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=antigen%20genes" title=" antigen genes"> antigen genes</a>, <a href="https://publications.waset.org/abstracts/search?q=diversity" title=" diversity"> diversity</a> </p> <a href="https://publications.waset.org/abstracts/77427/antigenic-diversity-of-theileria-parva-isolates-from-cattle-and-buffalo-at-the-wildlife-livestock-interface-in-southern-and-eastern-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77427.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">226</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">798</span> An Unbiased Profiling of Immune Repertoire via Sequencing and Analyzing T-Cell Receptor Genes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yi-Lin%20Chen">Yi-Lin Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Sheng-Jou%20Hung"> Sheng-Jou Hung</a>, <a href="https://publications.waset.org/abstracts/search?q=Tsunglin%20Liu"> Tsunglin Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Adaptive immune system recognizes a wide range of antigens via expressing a large number of structurally distinct T cell and B cell receptor genes. The distinct receptor genes arise from complex rearrangements called V(D)J recombination, and constitute the immune repertoire. A common method of profiling immune repertoire is via amplifying recombined receptor genes using multiple primers and high-throughput sequencing. This multiplex-PCR approach is efficient; however, the resulting repertoire can be distorted because of primer bias. To eliminate primer bias, 5’ RACE is an alternative amplification approach. However, the application of RACE approach is limited by its low efficiency (i.e., the majority of data are non-regular receptor sequences, e.g., containing intronic segments) and lack of the convenient tool for analysis. We propose a computational tool that can correctly identify non-regular receptor sequences in RACE data via aligning receptor sequences against the whole gene instead of only the exon regions as done in all other tools. Using our tool, the remaining regular data allow for an accurate profiling of immune repertoire. In addition, a RACE approach is improved to yield a higher fraction of regular T-cell receptor sequences. Finally, we quantify the degree of primer bias of a multiplex-PCR approach via comparing it to the RACE approach. The results reveal significant differences in frequency of VJ combination by the two approaches. Together, we provide a new experimental and computation pipeline for an unbiased profiling of immune repertoire. As immune repertoire profiling has many applications, e.g., tracing bacterial and viral infection, detection of T cell lymphoma and minimal residual disease, monitoring cancer immunotherapy, etc., our work should benefit scientists who are interested in the applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=immune%20repertoire" title="immune repertoire">immune repertoire</a>, <a href="https://publications.waset.org/abstracts/search?q=T-cell%20receptor" title=" T-cell receptor"> T-cell receptor</a>, <a href="https://publications.waset.org/abstracts/search?q=5%27%20RACE" title=" 5' RACE"> 5' RACE</a>, <a href="https://publications.waset.org/abstracts/search?q=high-throughput%20sequencing" title=" high-throughput sequencing"> high-throughput sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=sequence%20alignment" title=" sequence alignment"> sequence alignment</a> </p> <a href="https://publications.waset.org/abstracts/88972/an-unbiased-profiling-of-immune-repertoire-via-sequencing-and-analyzing-t-cell-receptor-genes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88972.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">194</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">797</span> Transcriptomic Analysis of Acanthamoeba castellanii Virulence Alteration by Epigenetic DNA Methylation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yi-Hao%20Wong">Yi-Hao Wong</a>, <a href="https://publications.waset.org/abstracts/search?q=Li-Li%20Chan"> Li-Li Chan</a>, <a href="https://publications.waset.org/abstracts/search?q=Chee-Onn%20Leong"> Chee-Onn Leong</a>, <a href="https://publications.waset.org/abstracts/search?q=Stephen%20Ambu"> Stephen Ambu</a>, <a href="https://publications.waset.org/abstracts/search?q=Joon-Wah%20Mak"> Joon-Wah Mak</a>, <a href="https://publications.waset.org/abstracts/search?q=Priyasashi%20Sahu"> Priyasashi Sahu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Acanthamoeba is a genus of amoebae which lives as a free-living in nature or as a human pathogen that causes severe brain and eye infections. Virulence potential of Acanthamoeba is not constant and can change with growth conditions. DNA methylation, an epigenetic process which adds methyl groups to DNA, is used by eukaryotic cells, including several human parasites to control their gene expression. We used qPCR, siRNA gene silencing, and RNA sequencing (RNA-Seq) to study DNA-methyltransferase gene family (DNMT) in order to indicate the possibility of its involvement in programming Acanthamoeba virulence potential. Methods: A virulence-attenuated Acanthamoeba isolate (designation: ATCC; original isolate: ATCC 50492) was subjected to mouse passages to restore its pathogenicity; a virulence-reactivated isolate (designation: AC/5) was generated. Several established factors associated with Acanthamoeba virulence phenotype were examined to confirm the succession of reactivation process. Differential gene expression of DNMT between ATCC and AC/5 isolates was performed by qPCR. Silencing on DNMT gene expression in AC/5 isolate was achieved by siRNA duplex. Total RNAs extracted from ATCC, AC/5, and siRNA-treated (designation: si-146) were subjected to RNA-Seq for comparative transcriptomic analysis in order to identify the genome-wide effect of DNMT in regulating Acanthamoeba gene expression. qPCR was performed to validate the RNA-Seq results. Results: Physiological and cytophatic assays demonstrated an increased in virulence potential of AC/5 isolate after mouse passages. DNMT gene expression was significantly higher in AC/5 compared to ATCC isolate (p ≤ 0.01) by qPCR. si-146 duplex reduced DNMT gene expression in AC/5 isolate by 30%. Comparative transcriptome analysis identified the differentially expressed genes, with 3768 genes in AC/5 vs ATCC isolate; 2102 genes in si-146 vs AC/5 isolate and 3422 genes in si-146 vs ATCC isolate, respectively (fold-change of ≥ 2 or ≤ 0.5, p-value adjusted (padj) < 0.05). Of these, 840 and 1262 genes were upregulated and downregulated, respectively, in si-146 vs AC/5 isolate. Eukaryotic orthologous group (KOG) assignments revealed a higher percentage of downregulated gene expression in si-146 compared to AC/5 isolate, were related to posttranslational modification, signal transduction and energy production. Gene Ontology (GO) terms for those downregulated genes shown were associated with transport activity, oxidation-reduction process, and metabolic process. Among these downregulated genes were putative genes encoded for heat shock proteins, transporters, ubiquitin-related proteins, proteins for vesicular trafficking (small GTPases), and oxidoreductases. Functional analysis of similar predicted proteins had been described in other parasitic protozoa for their survival and pathogenicity. Decreased expression of these genes in si146-treated isolate may account in part for Acanthamoeba reduced pathogenicity. qPCR on 6 selected genes upregulated in AC/5 compared to ATCC isolate corroborated the RNA sequencing findings, indicating a good concordance between these two analyses. Conclusion: To the best of our knowledge, this study represents the first genome-wide analysis of DNA methylation and its effects on gene expression in Acanthamoeba spp. The present data indicate that DNA methylation has substantial effect on global gene expression, allowing further dissection of the genome-wide effects of DNA-methyltransferase gene in regulating Acanthamoeba pathogenicity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Acanthamoeba" title="Acanthamoeba">Acanthamoeba</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA%20methylation" title=" DNA methylation"> DNA methylation</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA%20sequencing" title=" RNA sequencing"> RNA sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=virulence" title=" virulence"> virulence</a> </p> <a href="https://publications.waset.org/abstracts/94889/transcriptomic-analysis-of-acanthamoeba-castellanii-virulence-alteration-by-epigenetic-dna-methylation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94889.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">196</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">796</span> Wt1 and FoxL2 Genes Expression Pattern in Mesonephros-Gonad Complexes of Green Sea Turtle (Chelonia mydas) Embryos Incubated in Feminization and Masculinization Temperature</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fitria%20D.%20Ayuningtyas">Fitria D. Ayuningtyas</a>, <a href="https://publications.waset.org/abstracts/search?q=Anggraini%20Barlian"> Anggraini Barlian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Green turtle (Chelonia mydas) is one of TSD (Temperature-dependent Sex Determination, TSD) animals which sex is determined by the egg’s incubation temperature. GSD (Genotypic Sex Determination) homologous genes such as Wilms’ Tumor (Wt1) and Forkhead Box L2 (FoxL2) play a role in TSD animal sex determination process. Wt1 plays a role in both male pathway, as a transcription factor for Sf1 gene and in female pathway, as a transcription factor for Dax1. FoxL2 plays a role specifically in female sex determination, and known as transcriptional factor for Aromatase gene. Until now, research on the pattern of Wt1 and FoxL2 genes expression in C.mydas has not been conducted yet. The aim of this research is to know the pattern of Wt1 and FoxL2 genes expression in Mesonephros-Gonad (MG) complexes of Chelonia mydas embryos incubated in masculinizing temperature (MT) and feminizing temperature (FT). Eggs of C.mydas incubated in 3 different stage of TSP (Thermosensitive Period) at masculinizing temperature (26±10C, MT) and feminizing temperature (31±10C FT). Mesonefros-gonad complexes were isolated at Pre-TSP stage (FT at days 14th, MT at days 24th), TSP stage (FT at days 24th, MT at days 36th) and differentiated stage (FT at days 40th, MT at days 58th). RNA from mesonephros-gonad (MG) complexes were converted into cDNA by RT-PCR process, and the pattern of Wt1 and FoxL2 genes expression is analyzed by quantitative Real Time PCR (qPCR) method, β-actin gene is used as an internal control. The pattern of Wt1 gene expression in Pre-TSP stage was almost the same between MG complexes incubated at MT or FT, while TSP and differentiation stage, the pattern of Wt1 gene expression in MG complexes incubated at MT or FT was increased. Wt1 gene expression of MG complexes that incubated at FT was higher than at MT. There was a difference pattern between Wt1 gene expression in this research compared to the previous research in protein level. It could be assumed that the difference caused by post-transcriptional regulation mechanisms before mRNA of Wt1 gene translated into protein structure. The pattern of FoxL2 gene expression in Pre-TSP stage was almost the same between MG complexes that incubated at MT and FT, and increased in both TSP and differentiated stage. The FoxL2 gene expression in MG complexes that incubated in FT is higher than MT on TSP and differentiated stage. Based on the results of this research, it can be assumed that Wt1 and FoxL2 gene were expressed in MG complexes that incubated both at MT and FT since Pre-TSP stage. The pattern of Wt1 gene expression was increased in every stage of gonadal development, and so do the pattern of FoxL2 gene expression. Wt1 and FoxL2 gene expressions were higher in MG complexes incubated at FT than MT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chelonia%20mydas" title="chelonia mydas">chelonia mydas</a>, <a href="https://publications.waset.org/abstracts/search?q=FoxL2" title=" FoxL2"> FoxL2</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=TSD" title=" TSD"> TSD</a>, <a href="https://publications.waset.org/abstracts/search?q=Wt1" title=" Wt1"> Wt1</a> </p> <a href="https://publications.waset.org/abstracts/15175/wt1-and-foxl2-genes-expression-pattern-in-mesonephros-gonad-complexes-of-green-sea-turtle-chelonia-mydas-embryos-incubated-in-feminization-and-masculinization-temperature" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15175.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">407</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">795</span> Identified Transcription Factors and Gene Regulation in Scient Biosynthesis in Ophrys Orchids</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chengwei%20Wang">Chengwei Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuqing%20Xu"> Shuqing Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Philipp%20M.%20Schl%C3%BCter"> Philipp M. Schlüter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The genus Ophrys is remarkable for its mimicry, flower-lip closely resembling pollinator females in a species-specific manner. Therefore, floral traits associated with pollinator attraction, especially scent, are suitable models for investigating the molecular basis of adaption, speciation, and evolution. Within the two Ophrys species groups: O. sphegodes (S) and O. fusca (F), pollinator shifts among the same insect species have taken place. Preliminary data suggest that they involve a comparable hydrocarbon profile in their scent, which is mainly composed of alkanes and alkenes. Genes encoding stearoyl-acyl carrier protein desaturases (SAD) involved in alkene biosynthesis have been identified in the S group. This study aims to investigate the control and parallel evolution of ecologically significant alkene production in Ophrys. Owing to the central role those SAD genes play in determining positioning of the alkene double-bonds, a detailed understanding of their functional mechanism and of regulatory aspects is of utmost importance. We have identified 5 transcription factors potentially related to SAD expression in O. sphegodes which belong to the MYB, GTE, WRKY, and MADS families. Ultimately, our results will contribute to understanding genes important in the regulatory control of floral scent synthesis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=floral%20traits" title="floral traits">floral traits</a>, <a href="https://publications.waset.org/abstracts/search?q=transcription%20factors" title=" transcription factors"> transcription factors</a>, <a href="https://publications.waset.org/abstracts/search?q=biosynthesis" title=" biosynthesis"> biosynthesis</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20evolution" title=" parallel evolution"> parallel evolution</a> </p> <a href="https://publications.waset.org/abstracts/165903/identified-transcription-factors-and-gene-regulation-in-scient-biosynthesis-in-ophrys-orchids" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165903.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">102</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">794</span> In silico Analysis towards Identification of Host-Microbe Interactions for Inflammatory Bowel Disease Linked to Reactive Arthritis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anukriti%20Verma">Anukriti Verma</a>, <a href="https://publications.waset.org/abstracts/search?q=Bhawna%20Rathi"> Bhawna Rathi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shivani%20Sharda"> Shivani Sharda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reactive Arthritis (ReA) is a disorder that causes inflammation in joints due to certain infections at distant sites in the body. ReA begins with stiffness, pain, and inflammation in these areas especially the ankles, knees, and hips. It gradually causes several complications such as conjunctivitis in the eyes, skin lesions in hand, feet and nails and ulcers in the mouth. Nowadays the diagnosis of ReA is based upon a differential diagnosis pattern. The parameters for differentiating ReA from other similar disorders include physical examination, history of the patient and a high index of suspicion. There are no standard lab tests or markers available for ReA hence the early diagnosis of ReA becomes difficult and the chronicity of disease increases with time. It is reported that enteric disorders such as Inflammatory Bowel Disease (IBD) that is inflammation in gastrointestinal tract namely Crohn’s Disease (CD) and Ulcerative Colitis (UC) are reported to be linked with ReA. Several microorganisms are found such as Campylobacter, Salmonella, Shigella and Yersinia causing IBD leading to ReA. The aim of our study was to perform the in-silico analysis in order to find interactions between microorganisms and human host causing IBD leading to ReA. A systems biology approach for metabolic network reconstruction and simulation was used to find the essential genes of the reported microorganisms. Interactomics study was used to find the interactions between the pathogen genes and human host. Genes such as nhaA (pathogen), dpyD (human), nagK (human) and kynU (human) were obtained that were analysed further using the functional, pathway and network analysis. These genes can be used as putative drug targets and biomarkers in future for early diagnosis, prevention, and treatment of IBD leading to ReA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drug%20targets" title="drug targets">drug targets</a>, <a href="https://publications.waset.org/abstracts/search?q=inflammatory%20bowel%20disease" title=" inflammatory bowel disease"> inflammatory bowel disease</a>, <a href="https://publications.waset.org/abstracts/search?q=reactive%20arthritis" title=" reactive arthritis"> reactive arthritis</a>, <a href="https://publications.waset.org/abstracts/search?q=systems%20biology" title=" systems biology"> systems biology</a> </p> <a href="https://publications.waset.org/abstracts/56208/in-silico-analysis-towards-identification-of-host-microbe-interactions-for-inflammatory-bowel-disease-linked-to-reactive-arthritis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56208.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">275</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">793</span> Fruiting Body Specific Sc4 Hydrophobin Gene Plays a Role in Schizophyllum Commune Hyphal Attachment to Structured Glass Surfaces</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Evans%20Iyamu">Evans Iyamu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genes encoding hydrophobins play distinct roles at different stages of the life cycle of fungi, and they foster hyphal attachment to surfaces. The hydrophobin Sc4 is known to provide a hydrophobic membrane lining of the gas channels within Schizophyllum commune fruiting bodies. Here, we cultivated non-fruiting, monokaryotic S. commune 12-43 on glass surfaces that could be verified by micrography. Differential gene expression profiling of nine hydrophobin genes and the hydrophobin-like sc15 gene by quantitative PCR showed significant up-regulation of sc4 when S. commune was attached to glass surfaces, also confirmed with RNA-Seq data analysis. Another silicate, namely quartz sand, was investigated, and induction of sc4 was seen as well. The up-regulation of the hydrophobin gene sc4 may indicate involvement in S. commune hyphal attachment to glass as well as quartz surfaces. We propose that the covering of hyphae by Sc4 allows for direct interaction with the hydrophobic surfaces of silicates and that differential functions of specific hydrophobin genes depend on the surface interface involved. This study could help with the clarification of the biological functions of hydrophobins in natural surroundings, including hydrophobic surface attachment. Therefore, the analysis of growth on glass serves as a basis for understanding S. commune interaction with glass surfaces while providing the possibility to visualize the interaction microscopically. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hydrophobin" title="hydrophobin">hydrophobin</a>, <a href="https://publications.waset.org/abstracts/search?q=structured%20glass%20surfaces" title=" structured glass surfaces"> structured glass surfaces</a>, <a href="https://publications.waset.org/abstracts/search?q=differential%20gene%20expression" title=" differential gene expression"> differential gene expression</a>, <a href="https://publications.waset.org/abstracts/search?q=quartz%20sand" title=" quartz sand"> quartz sand</a> </p> <a href="https://publications.waset.org/abstracts/159087/fruiting-body-specific-sc4-hydrophobin-gene-plays-a-role-in-schizophyllum-commune-hyphal-attachment-to-structured-glass-surfaces" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159087.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">121</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">792</span> Quantitative Evaluation of Endogenous Reference Genes for ddPCR under Salt Stress Using a Moderate Halophile</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qinghua%20Xing">Qinghua Xing</a>, <a href="https://publications.waset.org/abstracts/search?q=Noha%20M.%20Mesbah"> Noha M. Mesbah</a>, <a href="https://publications.waset.org/abstracts/search?q=Haisheng%20Wang"> Haisheng Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jun%20Li"> Jun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Baisuo%20Zhao"> Baisuo Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Droplet digital PCR (ddPCR) is being increasingly adopted for gene detection and quantification because of its higher sensitivity and specificity. According to previous observations and our lab data, it is essential to use endogenous reference genes (RGs) when investigating gene expression at the mRNA level under salt stress. This study aimed to select and validate suitable RGs for gene expression under salt stress using ddPCR. Six candidate RGs were selected based on the tandem mass tag (TMT)-labeled quantitative proteomics of Alkalicoccus halolimnae at four salinities. The expression stability of these candidate genes was evaluated using statistical algorithms (geNorm, NormFinder, BestKeeper and RefFinder). There was a small fluctuation in cycle threshold (Ct) value and copy number of the pdp gene. Its expression stability was ranked in the vanguard of all algorithms, and was the most suitable RG for quantification of expression by both qPCR and ddPCR of A. halolimnae under salt stress. Single RG pdp and RG combinations were used to normalize the expression of ectA, ectB, ectC, and ectD under four salinities. The present study constitutes the first systematic analysis of endogenous RG selection for halophiles responding to salt stress. This work provides a valuable theory and an approach reference of internal control identification for ddPCR-based stress response models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=endogenous%20reference%20gene" title="endogenous reference gene">endogenous reference gene</a>, <a href="https://publications.waset.org/abstracts/search?q=salt%20stress" title=" salt stress"> salt stress</a>, <a href="https://publications.waset.org/abstracts/search?q=ddPCR" title=" ddPCR"> ddPCR</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=Alkalicoccus%20halolimnae" title=" Alkalicoccus halolimnae"> Alkalicoccus halolimnae</a> </p> <a href="https://publications.waset.org/abstracts/165112/quantitative-evaluation-of-endogenous-reference-genes-for-ddpcr-under-salt-stress-using-a-moderate-halophile" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165112.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">104</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">791</span> Effects of High Intensity Interval vs. Low Intensity Continuous Training on LXRβ, ABCG5 and ABCG8 Genes Expression in Male Wistar Rats</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sdiqeh%20Jalali">Sdiqeh Jalali</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Khazdair"> M. R. Khazdair</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Liver X receptors (LXR) have an essential role in the regulation of cholesterol metabolism, and their activation increase ABCG5 and ABCG8 genes expression for the improvement of cholesterol excretion from the body during reverse cholesterol transport (RCT). The aim of this study was to investigate the effects of high-intensity interval (HIT) and low intensity continuous (LIT) trainings on gene expression of these substances after a high-fat diet in Wistar rats. Materials and Methods: Fifteen male Wistar rats were divided into 3 groups: control group (n = 5), HIT exercise group (n = 5) and LIT exercise group (n = 5). All groups used a high-fat diet for 13 weeks, and the HIT and LIT groups performed the specific training program. The expression of LXRβ, ABCG5, and ABCG8 genes was measured after the training period. Findings: Data analysis showed significantly higher levels of LXRβ, ABCG5, and ABCG8 gene expression in HIT and LIT groups compared to the control group (P ≤ 0.05). Conclusion: HIT and LIT trainings after a high-fat diet have beneficial effects on RCT that prevent heart attack. Also, HIT training may have a greater effect on cholesterol excretion during the reverse cholesterol transport mechanism than LIT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=liver%20X%20receptor" title="liver X receptor">liver X receptor</a>, <a href="https://publications.waset.org/abstracts/search?q=atherosclerosis" title=" atherosclerosis"> atherosclerosis</a>, <a href="https://publications.waset.org/abstracts/search?q=interval%20training" title=" interval training"> interval training</a>, <a href="https://publications.waset.org/abstracts/search?q=endurance%20training" title=" endurance training"> endurance training</a> </p> <a href="https://publications.waset.org/abstracts/137050/effects-of-high-intensity-interval-vs-low-intensity-continuous-training-on-lxrv-abcg5-and-abcg8-genes-expression-in-male-wistar-rats" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137050.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">117</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">790</span> Genetic Approach to Target Putative PKS Genes Involved in Ochratoxin a Biosynthesis within Aspergillus Section Nigri, As a Main Cause of Human Nephropathy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sabah%20Ben%20Fredj%20Melki">Sabah Ben Fredj Melki</a>, <a href="https://publications.waset.org/abstracts/search?q=Yves%20Brygoo"> Yves Brygoo</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Mliki"> Ahmed Mliki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A 700 pb PCR-derived DNA fragment was isolated from Aspergillus carbonarius, Aspergillus niger, and Aspergillus tubingensis using degenerated primers (LC1-LC2c) and two newly designed primer pairs (KSLB-LC6) for Aspergillus niger and (AFl1F-LC2) for Aspergillus tubingensis developed for the acyl transferase (AT) and the KS domains of fungal PKSs. DNA from the most of black Aspergillus species currently recognized was tested. Herein, we report on the identification and characterisation of a part of the novel putative OTA-polyketide synthase gene in A. carbonarius “ACPks”, A. niger “ANPks” and A. tubingenis “ATPks”. The sequences were aligned and analyzed using phylogenetic methods. Primers used in this study showed general applicability and other Aspergillus species belonging to section Nigri were successfully amplified especially in A. niger and A. tubingenis. The predicted amino acid sequences “ACPks” displayed 66 to 81% similarities to different polyketide synthase genes while “ANPks” similarities varied from 68 to 71% and “ATPks” were from 81 to 97%. The AT and the KS domains appeared to be specific for a particular type of fungal PKSs and were related to PKSs involved in different mycotoxin biosynthesis pathways, including ochratoxin A. The sequences presented in this work have a high utility for the discovery of novel fungal PKS gene clusters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pks%20genes" title="Pks genes">Pks genes</a>, <a href="https://publications.waset.org/abstracts/search?q=OTA%20Biosynthesis" title=" OTA Biosynthesis"> OTA Biosynthesis</a>, <a href="https://publications.waset.org/abstracts/search?q=Aspergillus%20Nigri" title=" Aspergillus Nigri"> Aspergillus Nigri</a>, <a href="https://publications.waset.org/abstracts/search?q=sequence%20analysis" title=" sequence analysis"> sequence analysis</a> </p> <a href="https://publications.waset.org/abstracts/164392/genetic-approach-to-target-putative-pks-genes-involved-in-ochratoxin-a-biosynthesis-within-aspergillus-section-nigri-as-a-main-cause-of-human-nephropathy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164392.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">73</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">789</span> Familial Exome Sequencing to Decipher the Complex Genetic Basis of Holoprosencephaly</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Artem%20Kim">Artem Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Clara%20Savary"> Clara Savary</a>, <a href="https://publications.waset.org/abstracts/search?q=Christele%20Dubourg"> Christele Dubourg</a>, <a href="https://publications.waset.org/abstracts/search?q=Wilfrid%20Carre"> Wilfrid Carre</a>, <a href="https://publications.waset.org/abstracts/search?q=Houda%20Hamdi-Roze"> Houda Hamdi-Roze</a>, <a href="https://publications.waset.org/abstracts/search?q=Valerie%20Dup%C3%A9"> Valerie Dupé</a>, <a href="https://publications.waset.org/abstracts/search?q=Sylvie%20Odent"> Sylvie Odent</a>, <a href="https://publications.waset.org/abstracts/search?q=Marie%20De%20Tayrac"> Marie De Tayrac</a>, <a href="https://publications.waset.org/abstracts/search?q=Veronique%20David"> Veronique David</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Holoprosencephaly (HPE) is a rare congenital brain malformation resulting from the incomplete separation of the two cerebral hemispheres. It is characterized by a wide phenotypic spectrum and a high degree of locus heterogeneity. Genetic defects in 16 genes have already been implicated in HPE, but account for only 30% of cases, suggesting that a large part of genetic factors remains to be discovered. HPE has been recently redefined as a complex multigenic disorder, requiring the joint effect of multiple mutational events in genes belonging to one or several developmental pathways. The onset of HPE may result from accumulation of the effects of multiple rare variants in functionally-related genes, each conferring a moderate increase in the risk of HPE onset. In order to decipher the genetic basis of HPE, unconventional patterns of inheritance involving multiple genetic factors need to be considered. The primary objective of this study was to uncover possible disease causing combinations of multiple rare variants underlying HPE by performing trio-based Whole Exome Sequencing (WES) of familial cases where no molecular diagnosis could be established. 39 families were selected with no fully-penetrant causal mutation in known HPE gene, no chromosomic aberrations/copy number variants and without any implication of environmental factors. As the main challenge was to identify disease-related variants among a large number of nonpathogenic polymorphisms detected by WES classical scheme, a novel variant prioritization approach was established. It combined WES filtering with complementary gene-level approaches: transcriptome-driven (RNA-Seq data) and clinically-driven (public clinical data) strategies. Briefly, a filtering approach was performed to select variants compatible with disease segregation, population frequency and pathogenicity prediction to identify an exhaustive list of rare deleterious variants. The exome search space was then reduced by restricting the analysis to candidate genes identified by either transcriptome-driven strategy (genes sharing highly similar expression patterns with known HPE genes during cerebral development) or clinically-driven strategy (genes associated to phenotypes of interest overlapping with HPE). Deeper analyses of candidate variants were then performed on a family-by-family basis. These included the exploration of clinical information, expression studies, variant characteristics, recurrence of mutated genes and available biological knowledge. A novel bioinformatics pipeline was designed. Applied to the 39 families, this final integrated workflow identified an average of 11 candidate variants per family. Most of candidate variants were inherited from asymptomatic parents suggesting a multigenic inheritance pattern requiring the association of multiple mutational events. The manual analysis highlighted 5 new strong HPE candidate genes showing recurrences in distinct families. Functional validations of these genes are foreseen. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=complex%20genetic%20disorder" title="complex genetic disorder">complex genetic disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=holoprosencephaly" title=" holoprosencephaly"> holoprosencephaly</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20rare%20variants" title=" multiple rare variants"> multiple rare variants</a>, <a href="https://publications.waset.org/abstracts/search?q=whole%20exome%20sequencing" title=" whole exome sequencing"> whole exome sequencing</a> </p> <a href="https://publications.waset.org/abstracts/78155/familial-exome-sequencing-to-decipher-the-complex-genetic-basis-of-holoprosencephaly" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78155.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">203</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">788</span> Gene Expression Profile Reveals Breast Cancer Proliferation and Metastasis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nandhana%20Vivek">Nandhana Vivek</a>, <a href="https://publications.waset.org/abstracts/search?q=Bhaskar%20Gogoi"> Bhaskar Gogoi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayyavu%20Mahesh"> Ayyavu Mahesh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Breast cancer metastasis plays a key role in cancer progression and fatality. The present study examines the potential causes of metastasis in breast cancer by investigating the novel interactions between genes and their pathways. The gene expression profile of GSE99394, GSE1246464, and GSE103865 was downloaded from the GEO data repository to analyze the differentially expressed genes (DEGs). Protein-protein interactions, target factor interactions, pathways and gene relationships, and functional enrichment networks were investigated. The proliferation pathway was shown to be highly expressed in breast cancer progression and metastasis in all three datasets. Gene Ontology analysis revealed 11 DEGs as gene targets to control breast cancer metastasis: LYN, DLGAP5, CXCR4, CDC6, NANOG, IFI30, TXP2, AGTR1, MKI67, and FTH1. Upon studying the function, genomic and proteomic data, and pathway involvement of the target genes, DLGAP5 proved to be a promising candidate due to it being highly differentially expressed in all datasets. The study takes a unique perspective on the avenues through which DLGAP5 promotes metastasis. The current investigation helps pave the way in understanding the role DLGAP5 plays in metastasis, which leads to an increased incidence of death among breast cancer patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genomics" title="genomics">genomics</a>, <a href="https://publications.waset.org/abstracts/search?q=metastasis" title=" metastasis"> metastasis</a>, <a href="https://publications.waset.org/abstracts/search?q=microarray" title=" microarray"> microarray</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer" title=" cancer"> cancer</a> </p> <a href="https://publications.waset.org/abstracts/155120/gene-expression-profile-reveals-breast-cancer-proliferation-and-metastasis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155120.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">787</span> Screening of the Genes FOLH1 and MTHFR among the Mothers of Congenital Neural Tube Defected Babies in West Bengal, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Silpita%20Paul">Silpita Paul</a>, <a href="https://publications.waset.org/abstracts/search?q=Susanta%20Sadhukhan"> Susanta Sadhukhan</a>, <a href="https://publications.waset.org/abstracts/search?q=Biswanath%20Maity"> Biswanath Maity</a>, <a href="https://publications.waset.org/abstracts/search?q=Madhusudan%20Das"> Madhusudan Das</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Neural tube defects (NTDs) are one of the most common forms of birth defect and affect ~300,000 new born worldwide each year. The prevalence is higher in Northern India (11 per 1000 birth) compare to southern India (5 per 1000 birth). NTDs are one of the common birth defects related with low blood folate and Hcy concentration. Though the mechanism is still unknown, but it is now established that, NTDs in human are polygenic in nature and follow the heterogeneous trait. In spite of its heterogeneity, polymorphism in few genes affects significantly the trait of NTDs. Polymorphisms in the genes FOLH1 and MTHFR plays important role in NTDs. In this study, the polymorphisms of these genes were screened by bi-directional sequencing from 30 mothers with NTD babies as case. The result revealed that 26.67% patients had bi-allelic FOLH1 polymorphism. The polymorphism has been identified as p.Y60H and frequent to cause NTDs. The study of MTHFR gene showed 2 different SNPs rs1801131 (at exon 4) and rs1801131 (at exon 7). The study showed 6.67% patients of both mono- and bi-allelic MTHFR-rs1801131 polymorphism and 6.67% patients of bi-allelic MTHFR-rs1801131 polymorphism. These polymorphisms has been responsible for p.A222V and p.E429A change respectively and frequently involved in NTD formation. Those polymorphisms affect mainly the absorption of dietary folate from intestine and the formation of 5-methylenetetrahydrofolate (5 MTHF) from 5,10-methylenetetrahydrofolate (5,10- MTHF), which is the functional folate form in our system. Though the study is not complete yet, but these polymorphisms play crucial roles in the formation of NTDs in other world population. Based on the result till date, it can be concluded that they also play significant role in our population too as in control samples we have not found any changes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neural%20tube%20defects" title="neural tube defects">neural tube defects</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism" title=" polymorphism"> polymorphism</a>, <a href="https://publications.waset.org/abstracts/search?q=FOLH1" title=" FOLH1"> FOLH1</a>, <a href="https://publications.waset.org/abstracts/search?q=MTHFR" title=" MTHFR"> MTHFR</a> </p> <a href="https://publications.waset.org/abstracts/61646/screening-of-the-genes-folh1-and-mthfr-among-the-mothers-of-congenital-neural-tube-defected-babies-in-west-bengal-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61646.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">786</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">785</span> Enhanced Iron Accumulation in Chickpea Though Expression of Iron-Regulated Transport and Ferritin Genes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20M.%20L.%20Hoang">T. M. L. Hoang</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Tan"> G. Tan</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20D.%20Bhowmik"> S. D. Bhowmik</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Williams"> B. Williams</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Johnson"> A. Johnson</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Karbaschi"> M. R. Karbaschi</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Cheng"> Y. Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Long"> H. Long</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20G.%20Mundree"> S. G. Mundree</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Iron deficiency is a worldwide problem affecting both developed and developing countries. Currently, two major approaches namely iron supplementation and food fortification have been used to combat this issue. These measures, however, are limited by the economic status of the targeted demographics. Iron biofortification through genetic modification to enhance the inherent iron content and bioavailability of crops has been employed recently. Several important crops such as rice, wheat, and banana were reported successfully improved iron content via this method, but there is no known study in legumes. Chickpea (Cicer arietinum) is an important leguminous crop that is widely consumed, particularly in India where iron deficiency anaemia is prevalent. Chickpea is also an ideal pulse in the formulation of complementary food between pulses and cereals to improve micronutrient contents. This project aims at generating enhanced ion accumulation and bioavailability chickpea through the exogenous expression of genes related to iron transport and iron homeostasis in chickpea plants. Iron-Regulated Transport (IRT) and Ferritin genes in combination were transformed into chickpea half-embryonic axis by agrobacterium–mediated transformation. Transgenic independent event was confirmed by Southern Blot analysis. T3 leaves and seeds of transgenic chickpea were assessed for iron contents using LA-ICP-MS (Laser Ablation – Inductively Coupled Plasma Mass Spectrometry) and ICP-OES (Inductively Coupled Plasma Optical Emission Spectrometry). The correlation between transgene expression levels and iron content in T3 plants and seeds was assessed using qPCR. Results show that iron content in transgenic chickpea expressing the above genes significantly increased compared to that in non-transgenic controls. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=iron%20biofortification" title="iron biofortification">iron biofortification</a>, <a href="https://publications.waset.org/abstracts/search?q=chickpea" title=" chickpea"> chickpea</a>, <a href="https://publications.waset.org/abstracts/search?q=IRT" title=" IRT"> IRT</a>, <a href="https://publications.waset.org/abstracts/search?q=ferritin" title=" ferritin"> ferritin</a>, <a href="https://publications.waset.org/abstracts/search?q=Agrobacterium-mediated%20transformation" title=" Agrobacterium-mediated transformation"> Agrobacterium-mediated transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=LA-ICP-MS" title=" LA-ICP-MS"> LA-ICP-MS</a>, <a href="https://publications.waset.org/abstracts/search?q=ICP-OES" title=" ICP-OES"> ICP-OES</a> </p> <a href="https://publications.waset.org/abstracts/74885/enhanced-iron-accumulation-in-chickpea-though-expression-of-iron-regulated-transport-and-ferritin-genes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74885.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">441</span> </span> </div> </div> <ul class="pagination"> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=4" rel="prev">&lsaquo;</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=1">1</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=4">4</a></li> <li class="page-item active"><span class="page-link">5</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=31">31</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=32">32</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=mecA%20genes&page=6" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>