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differentially expressed gene</title> <meta name="description" content="Search results for: differentially expressed gene"> <meta name="keywords" content="differentially expressed gene"> <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" /> 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="differentially expressed gene"> <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> 2612</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: differentially expressed gene</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2612</span> An Integrated Visualization Tool for Heat Map and Gene Ontology Graph</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Somyung%20Oh">Somyung Oh</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeonghyeon%20Ha"> Jeonghyeon Ha</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyungwon%20Lee"> Kyungwon Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Sejong%20Oh"> Sejong Oh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Microarray is a general scheme to find differentially expressed genes for target concept. The output is expressed by heat map, and biologists analyze related terms of gene ontology to find some characteristics of differentially expressed genes. In this paper, we propose integrated visualization tool for heat map and gene ontology graph. Previous two methods are used by static manner and separated way. Proposed visualization tool integrates them and users can interactively manage it. Users may easily find and confirm related terms of gene ontology for given differentially expressed genes. Proposed tool also visualize connections between genes on heat map and gene ontology graph. We expect biologists to find new meaningful topics by proposed tool. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heat%20map" title="heat map">heat map</a>, <a href="https://publications.waset.org/abstracts/search?q=gene%20ontology" title=" gene ontology"> gene ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=microarray" title=" microarray"> microarray</a>, <a href="https://publications.waset.org/abstracts/search?q=differentially%20expressed%20gene" title=" differentially expressed gene"> differentially expressed gene</a> </p> <a href="https://publications.waset.org/abstracts/49151/an-integrated-visualization-tool-for-heat-map-and-gene-ontology-graph" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49151.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">316</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">2611</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">2610</span> Suppression Subtractive Hybridization Technique for Identification of the Differentially Expressed Genes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tuhina-khatun">Tuhina-khatun</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Hanafi%20Musa"> Mohamed Hanafi Musa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Rafii%20Yosup"> Mohd Rafii Yosup</a>, <a href="https://publications.waset.org/abstracts/search?q=Wong%20Mui%20Yun"> Wong Mui Yun</a>, <a href="https://publications.waset.org/abstracts/search?q=Aktar-uz-Zaman"> Aktar-uz-Zaman</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahbod%20Sahebi"> Mahbod Sahebi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Suppression subtractive hybridization (SSH) method is valuable tool for identifying differentially regulated genes in disease specific or tissue specific genes important for cellular growth and differentiation. It is a widely used method for separating DNA molecules that distinguish two closely related DNA samples. SSH is one of the most powerful and popular methods for generating subtracted cDNA or genomic DNA libraries. It is based primarily on a suppression polymerase chain reaction (PCR) technique and combines normalization and subtraction in a solitary procedure. The normalization step equalizes the abundance of DNA fragments within the target population, and the subtraction step excludes sequences that are common to the populations being compared. This dramatically increases the probability of obtaining low-abundance differentially expressed cDNAs or genomic DNA fragments and simplifies analysis of the subtracted library. SSH technique is applicable to many comparative and functional genetic studies for the identification of disease, developmental, tissue specific, or other differentially expressed genes, as well as for the recovery of genomic DNA fragments distinguishing the samples under comparison. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=suppression%20subtractive%20hybridization" title="suppression subtractive hybridization">suppression subtractive hybridization</a>, <a href="https://publications.waset.org/abstracts/search?q=differentially%20expressed%20genes" title=" differentially expressed genes"> differentially expressed genes</a>, <a href="https://publications.waset.org/abstracts/search?q=disease%20specific%20genes" title=" disease specific genes"> disease specific genes</a>, <a href="https://publications.waset.org/abstracts/search?q=tissue%20specific%20genes" title=" tissue specific genes"> tissue specific genes</a> </p> <a href="https://publications.waset.org/abstracts/36148/suppression-subtractive-hybridization-technique-for-identification-of-the-differentially-expressed-genes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36148.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">433</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">2609</span> An Analysis System for Integrating High-Throughput Transcript Abundance Data with Metabolic Pathways in Green Algae</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Han-Qin%20Zheng">Han-Qin Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Fan%20Chiang-Hsieh"> Yi-Fan Chiang-Hsieh</a>, <a href="https://publications.waset.org/abstracts/search?q=Chia-Hung%20Chien"> Chia-Hung Chien</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Chi%20Chang"> Wen-Chi Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As the most important non-vascular plants, algae have many research applications, including high species diversity, biofuel sources, adsorption of heavy metals and, following processing, health supplements. With the increasing availability of next-generation sequencing (NGS) data for algae genomes and transcriptomes, an integrated resource for retrieving gene expression data and metabolic pathway is essential for functional analysis and systems biology in algae. However, gene expression profiles and biological pathways are displayed separately in current resources, and making it impossible to search current databases directly to identify the cellular response mechanisms. Therefore, this work develops a novel AlgaePath database to retrieve gene expression profiles efficiently under various conditions in numerous metabolic pathways. AlgaePath, a web-based database, integrates gene information, biological pathways, and next-generation sequencing (NGS) datasets in Chlamydomonasreinhardtii and Neodesmus sp. UTEX 2219-4. Users can identify gene expression profiles and pathway information by using five query pages (i.e. Gene Search, Pathway Search, Differentially Expressed Genes (DEGs) Search, Gene Group Analysis, and Co-Expression Analysis). The gene expression data of 45 and 4 samples can be obtained directly on pathway maps in C. reinhardtii and Neodesmus sp. UTEX 2219-4, respectively. Genes that are differentially expressed between two conditions can be identified in Folds Search. Furthermore, the Gene Group Analysis of AlgaePath includes pathway enrichment analysis, and can easily compare the gene expression profiles of functionally related genes in a map. Finally, Co-Expression Analysis provides co-expressed transcripts of a target gene. The analysis results provide a valuable reference for designing further experiments and elucidating critical mechanisms from high-throughput data. More than an effective interface to clarify the transcript response mechanisms in different metabolic pathways under various conditions, AlgaePath is also a data mining system to identify critical mechanisms based on high-throughput sequencing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=next-generation%20sequencing%20%28NGS%29" title="next-generation sequencing (NGS)">next-generation sequencing (NGS)</a>, <a href="https://publications.waset.org/abstracts/search?q=algae" title=" algae"> algae</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptome" title=" transcriptome"> transcriptome</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20pathway" title=" metabolic pathway"> metabolic pathway</a>, <a href="https://publications.waset.org/abstracts/search?q=co-expression" title=" co-expression"> co-expression</a> </p> <a href="https://publications.waset.org/abstracts/9022/an-analysis-system-for-integrating-high-throughput-transcript-abundance-data-with-metabolic-pathways-in-green-algae" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9022.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">2608</span> Identification of Novel Differentially Expressed and Co-Expressed Genes between Tumor and Adjacent Tissue in Prostate Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luis%20Enrique%20Bautista-Hinojosa">Luis Enrique Bautista-Hinojosa</a>, <a href="https://publications.waset.org/abstracts/search?q=Luis%20A.%20Herrera"> Luis A. Herrera</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristian%20Arriaga-Canon"> Cristian Arriaga-Canon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Text should be written in the third person. Please avoid using "I" “my” or the pronoun "one". It is best to say "It is believed..." rather than "I believe..." or "One believes...". <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=transcriptomics" title="transcriptomics">transcriptomics</a>, <a href="https://publications.waset.org/abstracts/search?q=co-expression" title=" co-expression"> co-expression</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer" title=" cancer"> cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a> </p> <a href="https://publications.waset.org/abstracts/179230/identification-of-novel-differentially-expressed-and-co-expressed-genes-between-tumor-and-adjacent-tissue-in-prostate-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179230.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">2607</span> MicroRNA in Bovine Corpus Luteum during Early Pregnancy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rreze%20Gecaj">Rreze Gecaj</a>, <a href="https://publications.waset.org/abstracts/search?q=Corina%20Schanzenbach"> Corina Schanzenbach</a>, <a href="https://publications.waset.org/abstracts/search?q=Benedikt%20Kirchner"> Benedikt Kirchner</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Pfaffl"> Michael Pfaffl</a>, <a href="https://publications.waset.org/abstracts/search?q=Bajram%20Berisha"> Bajram Berisha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The maintenance of corpus lutem (CL) during early pregnancy in cattle is a critical and multifarious process. A luteotrophic mechanism originating from the embryo is widely accepted as the triggering signal for the CL maintenance. In the cattle, it is the interferon-tau (IFNT) secretion form conceptus that prevents CL regression and ensures progesterone production for the establishment of pregnancy. In addition to endocrine and paracrine signals, microRNA (miRNA) can also support CL sustainability during early pregnancy. MiRNA are small non-coding nucleic acids that regulate gene expression post-transcriptionally and are shown to be involved in the modulation of CL function. However, the examination of miRNAs in corpus luteum function at the early pregnancy still remains largely uncovered. This study aims at profiling the expression of miRNA in CL during the early pregnancy in cattle by comparing it with the CL form late cycle and with the regressed CL. Corpora lutea were assigned in two different groups during the cycle (C13 group, late CL: days 13-18 and C18, regressed CL group: day >18) and during the early pregnancy (group P: 1-2 month). The estrous cycle was determined by macroscopic examination and to age the fetus crown-rump length measurement was applied. A total of 9 corpora lutea from individual animals were included in the study, three corpora lutea for each group. MiRNAs population was profiled using small RNA next-generation sequencing and biologically significant miRNAs were evaluated for their differential expression using the DESeq2-methodology. We show that 6 differentially expressed miRNAs (bta-mir-2890, -2332, -2441-3p, -148b, -1248 and -29c) are common to both comparisons, P vs C13 and P vs C18. While for each stage individually we have identified unique miRNAs differentially expressed only for the given comparison. bta-miR-23a and -769 were unique miRNAs differentially expressed in P vs C13, whereas forty-four unique miRNAs were identified as differentially expressed in P vs C18. These data confirm that miRNAs are highly abundant in luteal tissue during early pregnancy and potentially regulate the CL maintenance at this stage of fetus development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bovine" title="bovine">bovine</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20luteum" title=" corpus luteum"> corpus luteum</a>, <a href="https://publications.waset.org/abstracts/search?q=microRNA" title=" microRNA"> microRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=pregnancy" title=" pregnancy"> pregnancy</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/61115/microrna-in-bovine-corpus-luteum-during-early-pregnancy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61115.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">259</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2606</span> Transcriptomics Analysis on Comparing Non-Small Cell Lung Cancer versus Normal Lung, and Early Stage Compared versus Late-Stages of Non-Small Cell Lung Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Achitphol%20Chookaew">Achitphol Chookaew</a>, <a href="https://publications.waset.org/abstracts/search?q=Paramee%20Thongsukhsai"> Paramee Thongsukhsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Patamarerk%20Engsontia"> Patamarerk Engsontia</a>, <a href="https://publications.waset.org/abstracts/search?q=Narongwit%20Nakwan"> Narongwit Nakwan</a>, <a href="https://publications.waset.org/abstracts/search?q=Pritsana%20Raugrut"> Pritsana Raugrut</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lung cancer is one of the most common malignancies and primary cause of death due to cancer worldwide. Non-small cell lung cancer (NSCLC) is the main subtype in which majority of patients present with advanced-stage disease. Herein, we analyzed differentially expressed genes to find potential biomarkers for lung cancer diagnosis as well as prognostic markers. We used transcriptome data from our 2 NSCLC patients and public data (GSE81089) composing of 8 NSCLC and 10 normal lung tissues. Differentially expressed genes (DEGs) between NSCLC and normal tissue and between early-stage and late-stage NSCLC were analyzed by the DESeq2. Pairwise correlation was used to find the DEGs with false discovery rate (FDR) adjusted p-value £ 0.05 and |log2 fold change| ³ 4 for NSCLC versus normal and FDR adjusted p-value £ 0.05 with |log2 fold change| ³ 2 for early versus late-stage NSCLC. Bioinformatic tools were used for functional and pathway analysis. Moreover, the top ten genes in each comparison group were verified the expression and survival analysis via GEPIA. We found 150 up-regulated and 45 down-regulated genes in NSCLC compared to normal tissues. Many immnunoglobulin-related genes e.g., IGHV4-4, IGHV5-10-1, IGHV4-31, IGHV4-61, and IGHV1-69D were significantly up-regulated. 22 genes were up-regulated, and five genes were down-regulated in late-stage compared to early-stage NSCLC. The top five DEGs genes were KRT6B, SPRR1A, KRT13, KRT6A and KRT5. Keratin 6B (KRT6B) was the most significantly increased gene in the late-stage NSCLC. From GEPIA analysis, we concluded that IGHV4-31 and IGKV1-9 might be used as diagnostic biomarkers, while KRT6B and KRT6A might be used as prognostic biomarkers. However, further clinical validation is needed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=differentially%20expressed%20genes" title="differentially expressed genes">differentially expressed genes</a>, <a href="https://publications.waset.org/abstracts/search?q=early%20and%20late-stages" title=" early and late-stages"> early and late-stages</a>, <a href="https://publications.waset.org/abstracts/search?q=gene%20ontology" title=" gene ontology"> gene ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=non-small%20cell%20lung%20cancer%20transcriptomics" title=" non-small cell lung cancer transcriptomics"> non-small cell lung cancer transcriptomics</a> </p> <a href="https://publications.waset.org/abstracts/131837/transcriptomics-analysis-on-comparing-non-small-cell-lung-cancer-versus-normal-lung-and-early-stage-compared-versus-late-stages-of-non-small-cell-lung-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131837.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">114</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">2605</span> Transcriptome and Metabolome Analysis of a Tomato Solanum Lycopersicum STAYGREEN1 Null Line Generated Using Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jin%20Young%20Kim">Jin Young Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwon%20Kyoo%20Kang"> Kwon Kyoo Kang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The SGR1 (STAYGREEN1) protein is a critical regulator of plant leaves in chlorophyll degradation and senescence. The functions and mechanisms of tomato SGR1 action are poorly understood and worthy of further investigation. To investigate the function of the SGR1 gene, we generated a SGR1-knockout (KO) null line via clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9-mediated gene editing and conducted RNA sequencing and gas chromatography tandem mass spectrometry (GC-MS/MS) analysis to identify the differentially expressed genes. The SlSGR1 (Solanum lycopersicum SGR1) knockout null line clearly showed a turbid brown color with significantly higher chlorophyll and carotenoid content compared to wild-type (WT) fruit. Differential gene expression analysis revealed 728 differentially expressed genes (DEGs) between WT and sgr1 #1-6 line, including 263 and 465 downregulated and upregulated genes, respectively, for which fold change was >2, and the adjusted p-value was <0.05. Most of the DEGs were related to photosynthesis and chloroplast function. In addition, the pigment, carotenoid changes in sgr1 #1-6 line was accumulated of key primary metabolites such as sucrose and its derivatives (fructose, galactinol, raffinose), glycolytic intermediates (glucose, G6P, Fru6P) and tricarboxylic acid cycle (TCA) intermediates (malate and fumarate). Taken together, the transcriptome and metabolite profiles of SGR1-KO lines presented here provide evidence for the mechanisms underlying the effects of SGR1 and molecular pathways involved in chlorophyll degradation and carotenoid biosynthesis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tomato" title="tomato">tomato</a>, <a href="https://publications.waset.org/abstracts/search?q=CRISPR%2FCas9" title=" CRISPR/Cas9"> CRISPR/Cas9</a>, <a href="https://publications.waset.org/abstracts/search?q=null%20line" title=" null line"> null line</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA-sequencing" title=" RNA-sequencing"> RNA-sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolite%20profiling" title=" metabolite profiling"> metabolite profiling</a> </p> <a href="https://publications.waset.org/abstracts/159361/transcriptome-and-metabolome-analysis-of-a-tomato-solanum-lycopersicum-staygreen1-null-line-generated-using-clustered-regularly-interspaced-short-palindromic-repeatscas9-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159361.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">2604</span> Leukocyte Transcriptome Analysis of Patients with Obesity-Related High Output Heart Failure</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samantha%20A.%20Cintron">Samantha A. Cintron</a>, <a href="https://publications.waset.org/abstracts/search?q=Janet%20Pierce"> Janet Pierce</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihaela%20E.%20Sardiu"> Mihaela E. Sardiu</a>, <a href="https://publications.waset.org/abstracts/search?q=Diane%20Mahoney"> Diane Mahoney</a>, <a href="https://publications.waset.org/abstracts/search?q=Jill%20Peltzer"> Jill Peltzer</a>, <a href="https://publications.waset.org/abstracts/search?q=Bhanu%20Gupta"> Bhanu Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Qiuhua%20Shen"> Qiuhua Shen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High output heart failure (HOHF) is characterized a high output state resulting from an underlying disease process and is commonly caused by obesity. As obesity levels increase, more individuals will be at risk for obesity-related HOHF. However, the underlying pathophysiologic mechanisms of obesity-related HOHF are not well understood and need further research. The aim of the study was to describe the differences in leukocyte transcriptomes of morbidly obese patients with HOHF and those with non-HOHF. In this cross-sectional study, the study team collected blood samples, demographics, and clinical data of six patients with morbid obesity and HOHF and six patients with morbid obesity and non-HOHF. The study team isolated the peripheral blood leukocyte RNA and applied stranded total RNA sequencing. Differential gene expression was calculated, and Ingenuity Pathway Analysis software was used to interpret the canonical pathways, functional changes, upstream regulators, and mechanistic and causal networks that were associated with the significantly different leukocyte transcriptomes. The study team identified 116 differentially expressed genes; 114 were upregulated, and 2 were downregulated in the HOHF group (Benjamini-Hochberg adjusted p-value ≤ 0.05 and log2(fold-change) of ±1). The differentially expressed genes were involved with cell proliferation, mitochondrial function, erythropoiesis, erythrocyte stability, and apoptosis. The top upregulated canonical pathways associated with differentially expressed genes were autophagy, adenosine monophosphate-activated protein kinase signaling, and senescence pathways. Upstream regulator GATA Binding Protein 1 (GATA1) and a network associated with nuclear factor kappa-light chain-enhancer of activated B cells (NF-kB) were also identified based on the different leukocyte transcriptomes of morbidly obese patients with HOHF and non-HOHF. To the author’s best knowledge, this is the first study that reported the differential gene expression in patients with obesity-related HOHF and demonstrated the unique pathophysiologic mechanisms underlying the disease. Further research is needed to determine the role of cellular function and maintenance, inflammation, and iron homeostasis in obesity-related HOHF. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cardiac%20output" title="cardiac output">cardiac output</a>, <a href="https://publications.waset.org/abstracts/search?q=heart%20failure" title=" heart failure"> heart failure</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptomics" title=" transcriptomics"> transcriptomics</a> </p> <a href="https://publications.waset.org/abstracts/173588/leukocyte-transcriptome-analysis-of-patients-with-obesity-related-high-output-heart-failure" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173588.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">55</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">2603</span> Differentially Expressed Genes in Atopic Dermatitis: Bioinformatics Analysis Of Pooled Microarray Gene Expression Datasets In Gene Expression Omnibus</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danna%20Jia">Danna Jia</a>, <a href="https://publications.waset.org/abstracts/search?q=Bin%20Li"> Bin Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Atopic dermatitis (AD) is a chronic and refractory inflammatory skin disease characterized by relapsing eczematous and pruritic skin lesions. The global prevalence of AD ranges from 1~ 20%, and its incidence rates are increasing. It affects individuals from infancy to adulthood, significantly impacting their daily lives and social activities. Despite its major health burden, the precise mechanisms underlying AD remain unknown. Understanding the genetic differences associated with AD is crucial for advancing diagnosis and targeted treatment development. This study aims to identify candidate genes of AD by using bioinformatics analysis. Methods: We conducted a comprehensive analysis of four pooled transcriptomic datasets (GSE16161, GSE32924, GSE130588, and GSE120721) obtained from the Gene Expression Omnibus (GEO) database. Differential gene expression analysis was performed using the R statistical language. The differentially expressed genes (DEGs) between AD patients and normal individuals were functionally analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Furthermore, a protein-protein interaction (PPI) network was constructed to identify candidate genes. Results: Among the patient-level gene expression datasets, we identified 114 shared DEGs, consisting of 53 upregulated genes and 61 downregulated genes. Functional analysis using GO and KEGG revealed that the DEGs were mainly associated with the negative regulation of transcription from RNA polymerase II promoter, membrane-related functions, protein binding, and the Human papillomavirus infection pathway. Through the PPI network analysis, we identified eight core genes: CD44, STAT1, HMMR, AURKA, MKI67, and SMARCA4. Conclusion: This study elucidates key genes associated with AD, providing potential targets for diagnosis and treatment. The identified genes have the potential to contribute to the understanding and management of AD. The bioinformatics analysis conducted in this study offers new insights and directions for further research on AD. Future studies can focus on validating the functional roles of these genes and exploring their therapeutic potential in AD. While these findings will require further verification as achieved with experiments involving in vivo and in vitro models, these results provided some initial insights into dysfunctional inflammatory and immune responses associated with AD. Such information offers the potential to develop novel therapeutic targets for use in preventing and treating AD. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atopic%20dermatitis" title="atopic dermatitis">atopic dermatitis</a>, <a href="https://publications.waset.org/abstracts/search?q=bioinformatics" title=" bioinformatics"> bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=genes" title=" genes"> genes</a> </p> <a href="https://publications.waset.org/abstracts/168004/differentially-expressed-genes-in-atopic-dermatitis-bioinformatics-analysis-of-pooled-microarray-gene-expression-datasets-in-gene-expression-omnibus" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168004.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">82</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">2602</span> Transcriptome Analysis Reveals Role of Long Non-Coding RNA NEAT1 in Dengue Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abhaydeep%20Pandey">Abhaydeep Pandey</a>, <a href="https://publications.waset.org/abstracts/search?q=Shweta%20Shukla"> Shweta Shukla</a>, <a href="https://publications.waset.org/abstracts/search?q=Saptamita%20Goswami"> Saptamita Goswami</a>, <a href="https://publications.waset.org/abstracts/search?q=Bhaswati%20Bandyopadhyay"> Bhaswati Bandyopadhyay</a>, <a href="https://publications.waset.org/abstracts/search?q=Vishnampettai%20Ramachandran"> Vishnampettai Ramachandran</a>, <a href="https://publications.waset.org/abstracts/search?q=Sudhanshu%20Vrati"> Sudhanshu Vrati</a>, <a href="https://publications.waset.org/abstracts/search?q=Arup%20Banerjee"> Arup Banerjee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Long non-coding RNAs (lncRNAs) are the important regulators of gene expression and play important role in viral replication and disease progression. The role of lncRNA genes in the pathogenesis of Dengue virus-mediated pathogenesis is currently unknown. Methods: To gain additional insights, we utilized an unbiased RNA sequencing followed by in silico analysis approach to identify the differentially expressed lncRNA and genes that are associated with dengue disease progression. Further, we focused our study on lncRNAs NEAT1 (Nuclear Paraspeckle Assembly Transcript 1) as it was found to be differentially expressed in PBMC of dengue infected patients. Results: The expression of lncRNAs NEAT1, as compared to dengue infection (DI), was significantly down-regulated as the patients developed the complication. Moreover, pairwise analysis on follow up patients confirmed that suppression of NEAT1 expression was associated with rapid fall in platelet count in dengue infected patients. Severe dengue patients (DS) (n=18; platelet count < 20K) when recovered from infection showing high NEAT1 expression as it observed in healthy donors. By co-expression network analysis and subsequent validation, we revealed that coding gene; IFI27 expression was significantly up-regulated in severe dengue cases and negatively correlated with NEAT1 expression. To discriminate DI from dengue severe, receiver operating characteristic (ROC) curve was calculated. It revealed sensitivity and specificity of 100% (95%CI: 85.69 – 97.22) and area under the curve (AUC) = 0.97 for NEAT1. Conclusions: Altogether, our first observations demonstrate that monitoring NEAT1and IFI27 expression in dengue patients could be useful in understanding dengue virus-induced disease progression and may be involved in pathophysiological processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dengue" title="dengue">dengue</a>, <a href="https://publications.waset.org/abstracts/search?q=lncRNA" title=" lncRNA"> lncRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=NEAT1" title=" NEAT1"> NEAT1</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptome" title=" transcriptome"> transcriptome</a> </p> <a href="https://publications.waset.org/abstracts/67686/transcriptome-analysis-reveals-role-of-long-non-coding-rna-neat1-in-dengue-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67686.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">310</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">2601</span> RNA-Seq Analysis of the Wild Barley (H. spontaneum) Leaf Transcriptome under Salt Stress</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Bahieldin">Ahmed Bahieldin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Atef"> Ahmed Atef</a>, <a href="https://publications.waset.org/abstracts/search?q=Jamal%20S.%20M.%20Sabir"> Jamal S. M. Sabir</a>, <a href="https://publications.waset.org/abstracts/search?q=Nour%20O.%20Gadalla"> Nour O. Gadalla</a>, <a href="https://publications.waset.org/abstracts/search?q=Sherif%20Edris"> Sherif Edris</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20M.%20Alzohairy"> Ahmed M. Alzohairy</a>, <a href="https://publications.waset.org/abstracts/search?q=Nezar%20A.%20Radhwan"> Nezar A. Radhwan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20N.%20Baeshen"> Mohammed N. Baeshen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20M.%20Ramadan"> Ahmed M. Ramadan</a>, <a href="https://publications.waset.org/abstracts/search?q=Hala%20F.%20Eissa"> Hala F. Eissa</a>, <a href="https://publications.waset.org/abstracts/search?q=Sabah%20M.%20Hassan"> Sabah M. Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Nabih%20A.%20Baeshen"> Nabih A. Baeshen</a>, <a href="https://publications.waset.org/abstracts/search?q=Osama%20Abuzinadah"> Osama Abuzinadah</a>, <a href="https://publications.waset.org/abstracts/search?q=Magdy%20A.%20Al-Kordy"> Magdy A. Al-Kordy</a>, <a href="https://publications.waset.org/abstracts/search?q=Fotouh%20M.%20El-Domyati"> Fotouh M. El-Domyati</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20K.%20Jansen"> Robert K. Jansen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wild salt-tolerant barley (Hordeum spontaneum) is the ancestor of cultivated barley (Hordeum vulgare or H. vulgare). Although the cultivated barley genome is well studied, little is known about genome structure and function of its wild ancestor. In the present study, RNA-Seq analysis was performed on young leaves of wild barley treated with salt (500 mM NaCl) at four different time intervals. Transcriptome sequencing yielded 103 to 115 million reads for all replicates of each treatment, corresponding to over 10 billion nucleotides per sample. Of the total reads, between 74.8 and 80.3% could be mapped and 77.4 to 81.7% of the transcripts were found in the H. vulgare unigene database (unigene-mapped). The unmapped wild barley reads for all treatments and replicates were assembled de novo and the resulting contigs were used as a new reference genome. This resultedin94.3 to 95.3%oftheunmapped reads mapping to the new reference. The number of differentially expressed transcripts was 9277, 3861 of which were uni gene-mapped. The annotated unigene- and de novo-mapped transcripts (5100) were utilized to generate expression clusters across time of salt stress treatment. Two-dimensional hierarchical clustering classified differential expression profiles into nine expression clusters, four of which were selected for further analysis. Differentially expressed transcripts were assigned to the main functional categories. The most important groups were ‘response to external stimulus’ and ‘electron-carrier activity’. Highly expressed transcripts are involved in several biological processes, including electron transport and exchanger mechanisms, flavonoid biosynthesis, reactive oxygen species (ROS) scavenging, ethylene production, signaling network and protein refolding. The comparisons demonstrated that mRNA-Seq is an efficient method for the analysis of differentially expressed genes and biological processes under salt stress. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electron%20transport" title="electron transport">electron transport</a>, <a href="https://publications.waset.org/abstracts/search?q=flavonoid%20biosynthesis" title=" flavonoid biosynthesis"> flavonoid biosynthesis</a>, <a href="https://publications.waset.org/abstracts/search?q=reactive%20oxygen%20species" title=" reactive oxygen species"> reactive oxygen species</a>, <a href="https://publications.waset.org/abstracts/search?q=rnaseq" title=" rnaseq"> rnaseq</a> </p> <a href="https://publications.waset.org/abstracts/42511/rna-seq-analysis-of-the-wild-barley-h-spontaneum-leaf-transcriptome-under-salt-stress" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42511.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">392</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">2600</span> Impact of Ocean Acidification on Gene Expression Dynamics during Development of the Sea Urchin Species Heliocidaris erythrogramma</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hannah%20R.%20Devens">Hannah R. Devens</a>, <a href="https://publications.waset.org/abstracts/search?q=Phillip%20L.%20Davidson"> Phillip L. Davidson</a>, <a href="https://publications.waset.org/abstracts/search?q=Dione%20Deaker"> Dione Deaker</a>, <a href="https://publications.waset.org/abstracts/search?q=Kathryn%20E.%20Smith"> Kathryn E. Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Gregory%20A.%20Wray"> Gregory A. Wray</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20Byrne"> Maria Byrne</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Marine invertebrate species with calcifying larvae are especially vulnerable to ocean acidification (OA) caused by rising atmospheric CO₂ levels. Acidic conditions can delay development, suppress metabolism, and decrease the availability of carbonate ions in the ocean environment for skeletogenesis. These stresses often result in increased larval mortality, which may lead to significant ecological consequences including alterations to the larval settlement, population distribution, and genetic connectivity. Importantly, many of these physiological and developmental effects are caused by genetic and molecular level changes. Although many studies have examined the effect of near-future oceanic pH levels on gene expression in marine invertebrates, little is known about the impact of OA on gene expression in a developmental context. Here, we performed mRNA-sequencing to investigate the impact of environmental acidity on gene expression across three developmental stages in the sea urchin Heliocidaris erythrogramma. We collected RNA from gastrula, early larva, and 1-day post-metamorphic juvenile sea urchins cultured at present-day and predicted future oceanic pH levels (pH 8.1 and 7.7, respectively). We assembled an annotated reference transcriptome encompassing development from egg to ten days post-metamorphosis by combining these data with datasets from two previous developmental transcriptomic studies of H. erythrogramma. Differential gene expression and time course analyses between pH conditions revealed significant alterations to developmental transcription that are potentially associated with pH stress. Consistent with previous investigations, genes involved in biomineralization and ion transport were significantly upregulated under acidic conditions. Differences in gene expression between the two pH conditions became more pronounced post-metamorphosis, suggesting a development-dependent effect of OA on gene expression. Furthermore, many differences in gene expression later in development appeared to be a result of broad downregulation at pH 7.7: of 539 genes differentially expressed at the juvenile stage, 519 of these were lower in the acidic condition. Time course comparisons between pH 8.1 and 7.7 samples also demonstrated over 500 genes were more lowly expressed in pH 7.7 samples throughout development. Of the genes exhibiting stage-dependent expression level changes, over 15% of these diverged from the expected temporal pattern of expression in the acidic condition. Through these analyses, we identify novel candidate genes involved in development, metabolism, and transcriptional regulation that are possibly affected by pH stress. Our results demonstrate that pH stress significantly alters gene expression dynamics throughout development. A large number of genes differentially expressed between pH conditions in juveniles relative to earlier stages may be attributed to the effects of acidity on transcriptional regulation, as a greater proportion of mRNA at this later stage has been nascent transcribed rather than maternally loaded. Also, the overall downregulation of many genes in the acidic condition suggests that OA-induced developmental delay manifests as suppressed mRNA expression, possibly from lower transcription rates or increased mRNA degradation in the acidic environment. Further studies will be necessary to determine in greater detail the extent of OA effects on early developing marine invertebrates. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=development" title="development">development</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=ocean%20acidification" title=" ocean acidification"> ocean acidification</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA-sequencing" title=" RNA-sequencing"> RNA-sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=sea%20urchins" title=" sea urchins"> sea urchins</a> </p> <a href="https://publications.waset.org/abstracts/98537/impact-of-ocean-acidification-on-gene-expression-dynamics-during-development-of-the-sea-urchin-species-heliocidaris-erythrogramma" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98537.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">168</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">2599</span> Full Length Transcriptome Sequencing and Differential Expression Gene Analysis of Hybrid Larch under PEG Stress</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Lei">Zhang Lei</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Qingrong"> Zhao Qingrong</a>, <a href="https://publications.waset.org/abstracts/search?q=Wang%20Chen"> Wang Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Sufang"> Zhang Sufang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Hanguo"> Zhang Hanguo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Larch is the main afforestation and timber tree species in Northeast China, and drought is one of the main factors limiting the growth of Larch and other organisms in Northeast China. In order to further explore the mechanism of Larch drought resistance, PEG was used to simulate drought stress. The full-length sequencing of Larch embryogenic callus under PEG simulated drought stress was carried out by combining Illumina-Hiseq and SMRT-seq. A total of 20.3Gb clean reads and 786492 CCS reads were obtained from the second and third generation sequencing. The de-redundant transcript sequences were predicted by lncRNA, 2083 lncRNAs were obtained, and the target genes were predicted, and a total of 2712 target genes were obtained. The de-redundant transcripts were further screened, and 1654 differentially expressed genes (DEGs )were obtained. Among them, different DEGs respond to drought stress in different ways, such as oxidation-reduction process, starch and sucrose metabolism, plant hormone pathway, carbon metabolism, lignin catabolic/biosynthetic process and so on. This study provides basic full-length sequencing data for the study of Larch drought resistance, and excavates a large number of DEGs in response to drought stress, which helps us to further understand the function of Larch drought resistance genes and provides a reference for in-depth analysis of the molecular mechanism of Larch drought resistance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=larch" title="larch">larch</a>, <a href="https://publications.waset.org/abstracts/search?q=drought%20stress" title=" drought stress"> drought stress</a>, <a href="https://publications.waset.org/abstracts/search?q=full-length%20transcriptome%20sequencing" title=" full-length transcriptome sequencing"> full-length transcriptome sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=differentially%20expressed%20genes" title=" differentially expressed genes"> differentially expressed genes</a> </p> <a href="https://publications.waset.org/abstracts/147042/full-length-transcriptome-sequencing-and-differential-expression-gene-analysis-of-hybrid-larch-under-peg-stress" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147042.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">172</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">2598</span> In Silico Analysis of Small Heat Shock Protein Gene Family by RNA-Seq during Tomato Fruit Ripening</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Debora%20P.%20Arce">Debora P. Arce</a>, <a href="https://publications.waset.org/abstracts/search?q=Flavia%20J.%20Krsticevic"> Flavia J. Krsticevic</a>, <a href="https://publications.waset.org/abstracts/search?q=Marco%20R.%20Bertolaccini"> Marco R. Bertolaccini</a>, <a href="https://publications.waset.org/abstracts/search?q=Joaqu%C3%ADn%20Ezpeleta"> Joaquín Ezpeleta</a>, <a href="https://publications.waset.org/abstracts/search?q=Estela%20M.%20Valle"> Estela M. Valle</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergio%20D.%20Ponce"> Sergio D. Ponce</a>, <a href="https://publications.waset.org/abstracts/search?q=Elizabeth%20Tapia"> Elizabeth Tapia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Small Heat Shock Proteins (sHSPs) are low molecular weight chaperones that play an important role during stress response and development in all living organisms. Fruit maturation and oxidative stress can induce sHSP synthesis both in Arabidopsis and tomato plants. RNA-Seq technology is becoming widely used in various transcriptomics studies; however, analyzing and interpreting the RNA-Seq data face serious challenges. In the present work, we de novo assembled the Solanum lycopersicum transcriptome for three different maturation stages (mature green, breaker and red ripe). Differential gene expression analysis was carried out during tomato fruit development. We identified 12 sHSPs differentially expressed that might be involved in breaker and red ripe fruit maturation. Interestingly, these sHSPs have different subcellular localization and suggest a complex regulation of the fruit maturation network process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sHSPs" title="sHSPs">sHSPs</a>, <a href="https://publications.waset.org/abstracts/search?q=maturation" title=" maturation"> maturation</a>, <a href="https://publications.waset.org/abstracts/search?q=tomato" title=" tomato"> tomato</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA-Seq" title=" RNA-Seq"> RNA-Seq</a>, <a href="https://publications.waset.org/abstracts/search?q=assembly" title=" assembly"> assembly</a> </p> <a href="https://publications.waset.org/abstracts/14132/in-silico-analysis-of-small-heat-shock-protein-gene-family-by-rna-seq-during-tomato-fruit-ripening" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14132.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">2597</span> Transcriptomic Analysis of Fragrant Rice Reveals the Involvement of Post-transcriptional Regulation in Response to Zn Foliar Application</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Imran">Muhammad Imran</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarfraz%20Shafiq"> Sarfraz Shafiq</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiangru%20Tang"> Xiangru Tang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Alternative splicing (AS) is an important post-transcriptional regulatory mechanism to generate transcripts variability and proteome diversity in plants. Fragrant rice (Oryza sativa L.) has a high economic and nutritional value, and the application of micronutrients regulate 2-acetyl-1-pyrroline (2-AP) production, which is responsible for aroma in fragrant rice. However, no systematic investigation of AS events in response to micronutrients (Zn) has been performed in fragrant rice. Furthermore, the post-transcriptional regulation of genes involved in 2-AP biosynthesis is also not known. In this study, a comprehensive analysis of AS events under two gradients of Zn treatment in two different fragrant rice cultivars (Meixiangzhan-2 and Xiangyaxiangzhan) was performed. A total of 386 and 598 significant AS events were found in Meixiangzhan-2 treated with low and high doses of Zn, respectively. In Xiangyaxiangzhan, a total of 449 and 598 significant AS events were found in low and high doses of Zn, respectively. Go analysis indicated that these genes were highly enriched in physiological processes, metabolism, and cellular process in both cultivars. However, genotype and dose-dependent AS events were also detected in both cultivars. By comparing differential AS (DAS) events with differentially expressed genes (DEGs), we found a weak overlap among DAS and DEGs in both fragrant rice cultivars, indicating that only a few genes are post-transcriptionally regulated in response to Zn treatment. We further report that Zn differentially regulates the expression of 2-AP biosynthesis-related genes in both cultivars, and Zn treatment altered the editing frequency of SNPs in the genes involved in 2-AP biosynthesis. Finally, we showed that epigenetic modifications associated with active gene transcription are generally enriched over 2-AP biosynthesis-related genes. Taken together, our results provide evidence of the post-transcriptional gene regulation in fragrant rice in response to Zn treatment and highlight that the 2-AP biosynthesis pathway may also be post-transcriptionally regulated through epigenetic modifications. These findings will serve as a cornerstone for further investigation to understand the molecular mechanisms of 2-AP biosynthesis in fragrant rice. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fragrant%20rice" title="fragrant rice">fragrant rice</a>, <a href="https://publications.waset.org/abstracts/search?q=2-acetyl-1-pyrroline" title=" 2-acetyl-1-pyrroline"> 2-acetyl-1-pyrroline</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=zinc" title=" zinc"> zinc</a>, <a href="https://publications.waset.org/abstracts/search?q=alternative%20splicing" title=" alternative splicing"> alternative splicing</a>, <a href="https://publications.waset.org/abstracts/search?q=SNPs" title=" SNPs"> SNPs</a> </p> <a href="https://publications.waset.org/abstracts/150991/transcriptomic-analysis-of-fragrant-rice-reveals-the-involvement-of-post-transcriptional-regulation-in-response-to-zn-foliar-application" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150991.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">111</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2596</span> A Web-Based Systems Immunology Toolkit Allowing the Visualization and Comparative Analysis of Publically Available Collective Data to Decipher Immune Regulation in Early Life</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahbuba%20Rahman">Mahbuba Rahman</a>, <a href="https://publications.waset.org/abstracts/search?q=Sabri%20Boughorbel"> Sabri Boughorbel</a>, <a href="https://publications.waset.org/abstracts/search?q=Scott%20Presnell"> Scott Presnell</a>, <a href="https://publications.waset.org/abstracts/search?q=Charlie%20Quinn"> Charlie Quinn</a>, <a href="https://publications.waset.org/abstracts/search?q=Darawan%20Rinchai"> Darawan Rinchai</a>, <a href="https://publications.waset.org/abstracts/search?q=Damien%20Chaussabel"> Damien Chaussabel</a>, <a href="https://publications.waset.org/abstracts/search?q=Nico%20Marr"> Nico Marr</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Collections of large-scale datasets made available in public repositories can be used to identify and fill gaps in biomedical knowledge. But first, these data need to be made readily accessible to researchers for analysis and interpretation. Here a collection of transcriptome datasets was made available to investigate the functional programming of human hematopoietic cells in early life. Thirty two datasets were retrieved from the NCBI Gene Expression Omnibus (GEO) and loaded in a custom, interactive web application called the Gene Expression browser (GXB), designed for visualization and query of integrated large-scale data. Multiple sample groupings and gene rank lists were created based on the study design and variables in each dataset. Web links to customized graphical views can be generated by users and subsequently be used to graphically present data in manuscripts for publication. The GXB tool also enables browsing of a single gene across datasets, which can provide information on the role of a given molecule across biological systems. The dataset collection is available online. As a proof-of-principle, one of the datasets (GSE25087) was re-analyzed to identify genes that are differentially expressed by regulatory T cells in early life. Re-analysis of this dataset and a cross-study comparison using multiple other datasets in the above mentioned collection revealed that PMCH, a gene encoding a precursor of melanin-concentrating hormone (MCH), a cyclic neuropeptide, is highly expressed in a variety of other hematopoietic cell types, including neonatal erythroid cells as well as plasmacytoid dendritic cells upon viral infection. Our findings suggest an as yet unrecognized role of MCH in immune regulation, thereby highlighting the unique potential of the curated dataset collection and systems biology approach to generate new hypotheses which can be tested in future mechanistic studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=early-life" title="early-life">early-life</a>, <a href="https://publications.waset.org/abstracts/search?q=GEO%20datasets" title=" GEO datasets"> GEO datasets</a>, <a href="https://publications.waset.org/abstracts/search?q=PMCH" title=" PMCH"> PMCH</a>, <a href="https://publications.waset.org/abstracts/search?q=interactive%20query" title=" interactive query"> interactive query</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/50742/a-web-based-systems-immunology-toolkit-allowing-the-visualization-and-comparative-analysis-of-publically-available-collective-data-to-decipher-immune-regulation-in-early-life" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50742.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">296</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">2595</span> Urinary Exosome miR-30c-5p as a Biomarker for Early-Stage Clear Cell Renal Cell Carcinoma</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shangqing%20Song">Shangqing Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Bin%20Xu"> Bin Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yajun%20Cheng"> Yajun Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhong%20Wang"> Zhong Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> miRNAs derived from exosomes exist in a body fluid such as urine were regarded as potential biomarkers for various human cancers diagnosis and prognosis, as mature miRNAs can be steadily preserved by exosomes. However, its potential value in clear cell renal cell carcinoma (ccRCC) diagnosis and prognosis remains unclear. In the present study, differentially expressed miRNAs from urinal exosomes were identified by next-generation sequencing (NGS) technology. The 16 differentially expressed miRNAs were identified between ccRCC patients and healthy donors. To explore the specific diagnosis biomarker of ccRCC, we validated these urinary exosomes from 70 early-stage renal cancer patients, 30 healthy people and other urinary system cancers, including 30 early-stage prostate cancer patients and 30 early-stage bladder cancer patients by qRT-PCR. The results showed that urinary exosome miR-30c-5p could be stably amplified and meanwhile the expression of miR-30c-5p has no significant difference between other urinary system cancers and healthy control, however, expression level of miR-30c-5p in urinary exosomal of ccRCC patients was lower than healthy people and receiver operation characterization (ROC) curve showed that the area under the curve (AUC) values was 0.8192 (95% confidence interval was 0.7388-0.8996, P= 0.0000). In addition, up-regulating miR-30c-5p expression could inhibit renal cell carcinoma cells growth. Lastly, HSP5A was found as a direct target gene of miR-30c-5p. HSP5A depletion reversed the promoting effect of ccRCC growth casued by miR-30c-5p inhibitor, respectively. In conclusion, this study demonstrated that urinary exosomal miR-30c-5p is readily accessible as diagnosis biomarker of early-stage ccRCC, and miR-30c-5p might modulate the expression of HSPA5, which correlated with the progression of ccRCC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clear%20cell%20renal%20cell%20carcinoma" title="clear cell renal cell carcinoma">clear cell renal cell carcinoma</a>, <a href="https://publications.waset.org/abstracts/search?q=exosome" title=" exosome"> exosome</a>, <a href="https://publications.waset.org/abstracts/search?q=HSP5A" title=" HSP5A"> HSP5A</a>, <a href="https://publications.waset.org/abstracts/search?q=miR-30c-5p" title=" miR-30c-5p"> miR-30c-5p</a> </p> <a href="https://publications.waset.org/abstracts/93777/urinary-exosome-mir-30c-5p-as-a-biomarker-for-early-stage-clear-cell-renal-cell-carcinoma" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93777.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">267</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">2594</span> RNA-Seq Based Transcriptomic Analysis of Wheat Cultivars for Unveiling of Genomic Variations and Isolation of Drought Tolerant Genes for Genome Editing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghulam%20Muhammad%20Ali">Ghulam Muhammad Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Unveiling of genes involved in drought and root architecture using transcriptomic analyses remained fragmented for further improvement of wheat through genome editing. The purpose of this research endeavor was to unveil the variations in different genes implicated in drought tolerance and root architecture in wheat through RNA-seq data analysis. In this study seedlings of 8 days old, 6 cultivars of wheat namely, Batis, Blue Silver, Local White, UZ888, Chakwal 50 and Synthetic wheat S22 were subjected to transcriptomic analysis for root and shoot genes. Total of 12 RNA samples was sequenced by Illumina. Using updated wheat transcripts from Ensembl and IWGC references with 54,175 gene models, we found that 49,621 out of 54,175 (91.5%) genes are expressed at an RPKM of 0.1 or more (in at least 1 sample). The number of genes expressed was higher in Local White than Batis. Differentially expressed genes (DEG) were higher in Chakwal 50. Expression-based clustering indicated conserved function of DRO1and RPK1 between Arabidopsis and wheat. Dendrogram showed that Local White is sister to Chakwal 50 while Batis is closely related to Blue Silver. This study flaunts transcriptomic sequence variations in different cultivars that showed mutations in genes associated with drought that may directly contribute to drought tolerance. DRO1 and RPK1 genes were fetched/isolated for genome editing. These genes are being edited in wheat through CRISPR-Cas9 for yield enhancement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=transcriptomic" title="transcriptomic">transcriptomic</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat" title=" wheat"> wheat</a>, <a href="https://publications.waset.org/abstracts/search?q=genome%20editing" title=" genome editing"> genome editing</a>, <a href="https://publications.waset.org/abstracts/search?q=drought" title=" drought"> drought</a>, <a href="https://publications.waset.org/abstracts/search?q=CRISPR-Cas9" title=" CRISPR-Cas9"> CRISPR-Cas9</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20enhancement" title=" yield enhancement"> yield enhancement</a> </p> <a href="https://publications.waset.org/abstracts/107535/rna-seq-based-transcriptomic-analysis-of-wheat-cultivars-for-unveiling-of-genomic-variations-and-isolation-of-drought-tolerant-genes-for-genome-editing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107535.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">147</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">2593</span> Construction of a Fusion Gene Carrying E10A and K5 with 2A Peptide-Linked by Using Overlap Extension PCR</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tiancheng%20Lan">Tiancheng Lan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> E10A is a kind of replication-defective adenovirus which carries the human endostatin gene to inhibit the growth of tumors. Kringle 5(K5) has almost the same function as angiostatin to also inhibit the growth of tumors since they are all the byproduct of the proteolytic cleavage of plasminogen. Tumor size increasing can be suppressed because both of the endostatin and K5 can restrain the angiogenesis process. Therefore, in order to improve the treatment effect on tumor, 2A peptide is used to construct a fusion gene carrying both E10A and K5. Using 2A peptide is an ideal strategy when a fusion gene is expressed because it can avoid many problems during the expression of more than one kind of protein. The overlap extension PCR is also used to connect 2A peptide with E10A and K5. The final construction of fusion gene E10A-2A-K5 can provide a possible new method of the anti-angiogenesis treatment with a better expression performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=E10A" title="E10A">E10A</a>, <a href="https://publications.waset.org/abstracts/search?q=Kringle%205" title=" Kringle 5"> Kringle 5</a>, <a href="https://publications.waset.org/abstracts/search?q=2A%20peptide" title=" 2A peptide"> 2A peptide</a>, <a href="https://publications.waset.org/abstracts/search?q=overlap%20extension%20PCR" title=" overlap extension PCR"> overlap extension PCR</a> </p> <a href="https://publications.waset.org/abstracts/132643/construction-of-a-fusion-gene-carrying-e10a-and-k5-with-2a-peptide-linked-by-using-overlap-extension-pcr" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132643.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">150</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">2592</span> Transcriptome Sequencing of the Spleens Reveals Genes Involved in Antiviral Response in Chickens Infected with Castv</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sajewicz-Krukowska%20Joanna">Sajewicz-Krukowska Joanna</a>, <a href="https://publications.waset.org/abstracts/search?q=Doma%C5%84ska-Blicharz%20Katarzyna"> Domańska-Blicharz Katarzyna</a>, <a href="https://publications.waset.org/abstracts/search?q=Tarasiuk%20Karolina"> Tarasiuk Karolina</a>, <a href="https://publications.waset.org/abstracts/search?q=Marzec-Kotarska%20Barbara"> Marzec-Kotarska Barbara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Astroviral infections pose a significant problem in the poultry industry, leading to multiple adverse effects such as decreased egg production, breeding disorders, poor weight gain, and even increased mortality. Commonly observed chicken astrovirus (CAstV) was recently reported to be responsible for "white chicks syndrome" associated with increased embryo/chick mortality. The CAstV-mediated pathogenesis in chicken occurs due to complex interactions between the infectious pathogen and the immune system. Many aspects of CAstV-chicken interactions remain unclear, and there is no information available regarding gene expression changes in the chicken's spleen in response to CAstV infection. We aimed to investigate the molecular background triggered by CAstV infection. Ten 21-day-old SPF White Leghorn chickens were divided into two groups of 5 birds each. One group was inoculated with CAstV, and the other was used as the negative control. On 4th dpi, spleen samples were collected and immediately frozen at -70°C for RNA isolation. We analysed transcriptional profiles of the chickens' spleens at the 4th day following infection using RNA-seq to establish differentially expressed genes (DEGs). The RNA-seq findings were verified by quantitative real-time PCR (qRT-PCR). A total of 31959 transcripts were identified in response to CAstV infection. Eventually 45 DEGs (p-value<0.05; Log2Foldchange>1)were recognized in the spleen after CAstV infection (26 upregulated DEGs and 19 downregulated DEGs). qRT-PCR performed on 4 genes (IFIT5, OASL, RASD1, DDX60) confirmed RNAseq results. Top differentially expressed genes belonged to novel putative IFN-induced CAstV restriction factors. Most of the DEGs were associated with RIG-I–like signalling pathway or, more generally, with an innate antiviral response(upregulated: BLEC3, CMPK2, IFIT5, OASL, DDX60, IFI6, and downregulated: SPIK5, SELENOP, HSPA2, TMEM158, RASD1, YWHAB). The study provided a global analysis of host transcriptional changes that occur during CAstV infection in vivo and proved the cell cycle in the spleen and immune signalling in chickens were predominantly affected upon CAstV infection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chicken%20astrovirus" title="chicken astrovirus">chicken astrovirus</a>, <a href="https://publications.waset.org/abstracts/search?q=CastV" title=" CastV"> CastV</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA-seq" title=" RNA-seq"> RNA-seq</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptome" title=" transcriptome"> transcriptome</a>, <a href="https://publications.waset.org/abstracts/search?q=spleen" title=" spleen"> spleen</a> </p> <a href="https://publications.waset.org/abstracts/141921/transcriptome-sequencing-of-the-spleens-reveals-genes-involved-in-antiviral-response-in-chickens-infected-with-castv" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141921.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">154</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">2591</span> Cas9-Assisted Direct Cloning and Refactoring of a Silent Biosynthetic Gene Cluster</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peng%20Hou">Peng Hou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Natural products produced from marine bacteria serve as an immense reservoir for anti-infective drugs and therapeutic agents. Nowadays, heterologous expression of gene clusters of interests has been widely adopted as an effective strategy for natural product discovery. Briefly, the heterologous expression flowchart would be: biosynthetic gene cluster identification, pathway construction and expression, and product detection. However, gene cluster capture using traditional Transformation-associated recombination (TAR) protocol is low-efficient (0.5% positive colony rate). To make things worse, most of these putative new natural products are only predicted by bioinformatics analysis such as antiSMASH, and their corresponding natural products biosynthetic pathways are either not expressed or expressed at very low levels under laboratory conditions. Those setbacks have inspired us to focus on seeking new technologies to efficiently edit and refractor of biosynthetic gene clusters. Recently, two cutting-edge techniques have attracted our attention - the CRISPR-Cas9 and Gibson Assembly. By now, we have tried to pretreat Brevibacillus laterosporus strain genomic DNA with CRISPR-Cas9 nucleases that specifically generated breaks near the gene cluster of interest. This trial resulted in an increase in the efficiency of gene cluster capture (9%). Moreover, using Gibson Assembly by adding/deleting certain operon and tailoring enzymes regardless of end compatibility, the silent construct (~80kb) has been successfully refactored into an active one, yielded a series of analogs expected. With the appearances of the novel molecular tools, we are confident to believe that development of a high throughput mature pipeline for DNA assembly, transformation, product isolation and identification would no longer be a daydream for marine natural product discovery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biosynthesis" title="biosynthesis">biosynthesis</a>, <a href="https://publications.waset.org/abstracts/search?q=CRISPR-Cas9" title=" CRISPR-Cas9"> CRISPR-Cas9</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA%20assembly" title=" DNA assembly"> DNA assembly</a>, <a href="https://publications.waset.org/abstracts/search?q=refactor" title=" refactor"> refactor</a>, <a href="https://publications.waset.org/abstracts/search?q=TAR%20cloning" title=" TAR cloning"> TAR cloning</a> </p> <a href="https://publications.waset.org/abstracts/62825/cas9-assisted-direct-cloning-and-refactoring-of-a-silent-biosynthetic-gene-cluster" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62825.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">282</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">2590</span> Transcriptome Analysis of Dry and Soaked Tomato (Solanum lycopersicum) Seeds in Response to Fast Neutron Irradiation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yujie%20Zhou">Yujie Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Hee-Seong%20Byun"> Hee-Seong Byun</a>, <a href="https://publications.waset.org/abstracts/search?q=Sang-In%20Bak"> Sang-In Bak</a>, <a href="https://publications.waset.org/abstracts/search?q=Eui-Joon%20Kil"> Eui-Joon Kil</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyung%20Joo%20Min"> Kyung Joo Min</a>, <a href="https://publications.waset.org/abstracts/search?q=Vivek%20Chavan"> Vivek Chavan</a>, <a href="https://publications.waset.org/abstracts/search?q=Won%20Kyong%20Cho"> Won Kyong Cho</a>, <a href="https://publications.waset.org/abstracts/search?q=Sukchan%20Lee"> Sukchan Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Seung-Woo%20Hong"> Seung-Woo Hong</a>, <a href="https://publications.waset.org/abstracts/search?q=Tae-Sun%20Park"> Tae-Sun Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fast neutron irradiation (FNI) can cause mutations on plant genome but, in the most of cases, these irradiated plants have not shown significant characteristics phenotypically. In this study, we utilized RNA-Seq to generate a high-resolution transcriptome map of the tomato (Solanum lycopersicum) genome effected by FNI. To quantify the different transcription levels in tomato irradiated by FNI, tomato seeds were irradiated by using MC-50 cyclotron (KIRAMS, Korea) for 0, 30 and 90 minutes, respectively. To investigate the effects on the pre-soaking condition, experimental groups were divided into dry and soaked seeds, which were soaked for 8 hours before irradiation. There was no noticeable difference in the percentage germination (PG) among dry seeds, while irradiated soaked seeds have about 10 % lower PG compared to the unirradiated control group. Using whole transcriptome sequencing by HiSeq 2000, we analyzed the differential gene expression in response to different time of FNI in dry and soaked seeds. More than 1.4 million base pair reads were mapped onto the tomato reference genome and the expression pattern differences between irradiated and unirradiated seeds were assessed. In 0, 30 and 90 minutes irradiation, 12,135, 28,495 and 28,675 transcripts were generated, respectively. Gene ontology analysis suggested the different enrichment of transcripts involved in response to different FNI. The present study showed that FNI effects on plant gene expression, which can become a new parameters for evaluating the responses against FNI on plants. In addition, the comparative analysis of differentially expressed genes in D and S seeds by FNI will also give us a chance to deep explore novel candidate genes for FNI, which could be a good model system to understand the mechanisms behind the adaption of plant to space biology research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tomato%20%28solanum%20lycopersicum%29" title="tomato (solanum lycopersicum)">tomato (solanum lycopersicum)</a>, <a href="https://publications.waset.org/abstracts/search?q=fast%20neutron%20irradiation" title=" fast neutron irradiation"> fast neutron irradiation</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA-sequence" title=" RNA-sequence"> RNA-sequence</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptome%20expression" title=" transcriptome expression"> transcriptome expression</a> </p> <a href="https://publications.waset.org/abstracts/65369/transcriptome-analysis-of-dry-and-soaked-tomato-solanum-lycopersicum-seeds-in-response-to-fast-neutron-irradiation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65369.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">319</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">2589</span> Aberrant Genome‐Wide DNA Methylation Profiles of Peripheral Blood Mononuclear Cells from Patients Hospitalized with COVID-19</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Inam%20Ridha">Inam Ridha</a>, <a href="https://publications.waset.org/abstracts/search?q=Christine%20L.%20Kuryla"> Christine L. Kuryla</a>, <a href="https://publications.waset.org/abstracts/search?q=Madhuranga%20Thilakasiri%20Madugoda%20Ralalage%20Don"> Madhuranga Thilakasiri Madugoda Ralalage Don</a>, <a href="https://publications.waset.org/abstracts/search?q=Norman%20J.%20Kleiman"> Norman J. Kleiman</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunro%20Chung"> Yunro Chung</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Park"> Jin Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Vel%20Murugan"> Vel Murugan</a>, <a href="https://publications.waset.org/abstracts/search?q=Joshua%20LaBaer"> Joshua LaBaer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To date, more than 275 million people worldwide have been diagnosed with COVID-19 and the rapid spread of the omicron variant suggests many millions more will soon become infected. Many infections are asymptomatic, while others result in mild to moderate illness. Unfortunately, some infected individuals exhibit more serious symptoms including respiratory distress, thrombosis, cardiovascular disease, multi-organ failure, cognitive difficulties, and, in roughly 2% of cases, death. Studies indicate other coronaviruses can alter the host cell's epigenetic profile and lead to alterations in the immune response. To better understand the mechanism(s) by which SARS-CoV-2 infection causes serious illness, DNA methylation profiles in peripheral blood mononuclear cells (PBMCs) from 90 hospitalized severely ill COVID-19 patients were compared to profiles from uninfected control subjects. Exploratory epigenome-wide DNA methylation analyses were performed using multiplexed methylated DNA immunoprecipitation (MeDIP) followed by pathway enrichment analysis. The findings demonstrated significant DNA methylation changes in infected individuals as compared to uninfected controls. Pathway analysis indicated that apoptosis, cell cycle control, Toll-like receptors (TLR), cytokine interactions, and T cell differentiation were among the most affected metabolic processes. In addition, changes in specific gene methylation were compared to SARS-CoV-2 induced changes in RNA expression using published RNA-seq data from 3 patients with severe COVID-19. These findings demonstrate significant correlations between differentially methylated and differentially expressed genes in a number of critical pathways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=COVID19" title="COVID19">COVID19</a>, <a href="https://publications.waset.org/abstracts/search?q=epigenetics" title=" epigenetics"> epigenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA%20mathylation" title=" DNA mathylation"> DNA mathylation</a>, <a href="https://publications.waset.org/abstracts/search?q=viral%20infection" title=" viral infection"> viral infection</a> </p> <a href="https://publications.waset.org/abstracts/146934/aberrant-genomewide-dna-methylation-profiles-of-peripheral-blood-mononuclear-cells-from-patients-hospitalized-with-covid-19" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146934.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">180</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">2588</span> Bio-Genetic Activities Associated with Resistant in Peppers to Phytophthora capsici</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Nasr-Esfahani">Mehdi Nasr-Esfahani</a>, <a href="https://publications.waset.org/abstracts/search?q=Leila%20Mohammad%20Bagheri"> Leila Mohammad Bagheri</a>, <a href="https://publications.waset.org/abstracts/search?q=Ava%20Nasr-Esfahani"> Ava Nasr-Esfahani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Root and collar rot disease caused by Phytophthora capsici (Leonian) is one of the most serious diseases in pepper, Capsicum annuum L. In this study, a diverse collection of 37 commercial edible and ornamental pepper genotypes infected with P. capsici were investigated for biomass parameters and enzymatic activity of peroxidase or peroxide reductases (EC), superoxide dismutase (SOD), polyphenol oxidase (PPOs), catalase (CAT) and phenylalanine ammonia-lyase (PAL). Seven candidate DEG genes were also evaluated on resistant and susceptible pepper cultivars, through measuring product formation, using spectrophotometry and real-time polymerase chain reaction. All the five enzymes and seven defense-gene candidates were up-regulated in all inoculated pepper accessions to P. capsici. But, the enzymes and DEG genes were highly expressed in resistant cv. 19OrnP-PBI, 37ChillP-Paleo, and “23CherryP-Orsh". The expression level of enzymes were 1.5 to 5.6-fold higher in the resistant peppers, than the control non-inoculated genotypes. Also, the transcriptional levels of related candidate DEG genes were 3.16 to 5.90-fold higher in the resistant genotypes. There was a direct and high correlation coefficient between resistance, bio-mass parameters, enzymatic activity, and resistance gene expression. The related enzymes and candidate genes expressed herein will provide a basis for further gene cloning and functional verification studies, and also will aid in an understanding of the regulatory mechanism of pepper resistance to P. capsici. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AP2%2FERF" title="AP2/ERF">AP2/ERF</a>, <a href="https://publications.waset.org/abstracts/search?q=cDNA" title=" cDNA"> cDNA</a>, <a href="https://publications.waset.org/abstracts/search?q=enzymes" title=" enzymes"> enzymes</a>, <a href="https://publications.waset.org/abstracts/search?q=MIP%20gene" title=" MIP gene"> MIP gene</a>, <a href="https://publications.waset.org/abstracts/search?q=q-RTPCR" title=" q-RTPCR"> q-RTPCR</a>, <a href="https://publications.waset.org/abstracts/search?q=XLOC" title=" XLOC"> XLOC</a> </p> <a href="https://publications.waset.org/abstracts/119322/bio-genetic-activities-associated-with-resistant-in-peppers-to-phytophthora-capsici" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119322.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">152</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">2587</span> Expression of Slit Diaphragm Genes of Chicken Embryo Mesonephros </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Abdelsabour-Khalaf">Mohammed Abdelsabour-Khalaf</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Yusuf"> F. Yusuf </a>, <a href="https://publications.waset.org/abstracts/search?q=B%20Brand-Saberi"> B Brand-Saberi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: Applications of nanotechnology nowadays extended to include a wide range of scientific areas such electron micrscopy and gene expression. The aim of the current study was to investigate the developmental expression pattern of genes involved in human glomerulo-nephropathies associated with massive proteinuria and podocyte differentiation using the chicken mesonephros as a model system. Method: We performed in situ hybridization using chicken specific mRNA probes for genes expressed in the early nephron and slit diaphragm genes. The probes used were cNeph1, cNeph2, cSim1, cLmx1b, and cAtoh8. Chicken embryos from Hamburger Hamilton developmental stage HH19 (E3) to HH 34 (E9) were used for the in situ hybridization (ISH). ISH was performed on whole mount embryos which were sectioned by vibratome. Results: Our result show that Neph1, Neph2, Sim1. Lmx1b and Atoh8 genes are dynamically expressed during nephron morphogenesis and Neph1 and Atoh8 are also specifically expressed in the podocytes during late stages of differentiation. Conclusion: We conclude from our results that the genes implicated in congenital and acquired glomerulo-nephropathies like Neph1 and Neph2 are dynamically expressed during mesonephros development pointing towards a role in the formation of the filtration barrier and the differentiation of the mesonephric podocytes. Thus the avian mesonephros could serve as a model to study human kidney diseases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mesonephros" title="mesonephros">mesonephros</a>, <a href="https://publications.waset.org/abstracts/search?q=chicken%20embryo" title=" chicken embryo"> chicken embryo</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=immunohistochemistry" title=" immunohistochemistry"> immunohistochemistry</a> </p> <a href="https://publications.waset.org/abstracts/17923/expression-of-slit-diaphragm-genes-of-chicken-embryo-mesonephros" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17923.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">620</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">2586</span> Exploring the Strategy to Identify Seed-Specific Acyl-Hydrolases from Arabidopsis thaliana by Activity-Based Protein Profiling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Latha">M. Latha</a>, <a href="https://publications.waset.org/abstracts/search?q=Achintya%20K.%20Dolui"> Achintya K. Dolui</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Vijayaraj"> P. Vijayaraj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vegetable oils mainly triacylglycerol (TAG) are an essential nutrient in the human diet as well as one of the major global commodity. There is a pressing need to enhance the yield of oil production to meet the world’s growing demand. Oil content is controlled by the balance between synthesis and breakdown in the cells. Several studies have established to increase the oil content by the overexpression of oil biosynthetic enzymes. Interestingly the significant oil accumulation was observed with impaired TAG hydrolysis. Unfortunately, the structural, as well as the biochemical properties of the lipase enzymes, is widely unknown, and so far, no candidate gene was identified in seeds except sugar-dependent1 (SDP1). Evidence has shown that SDP1directly responsible for initiation of oil breakdown in the seeds during germination. The present study is the identification of seed-specific acyl-hydrolases by activity based proteome profiling (ABPP) using Arabidopsis thaliana as a model system. The ABPP reveals that around 8 to 10 proteins having the serine hydrolase domain and are expressed during germination of Arabidopsis seed. The N-term sequencing, as well as LC-MS/MS analysis, was performed for the differentially expressed protein during germination. The coding region of the identified proteins was cloned, and lipases activity was assessed with purified recombinant protein. The enzyme assay was performed against various lipid substrates, and we have observed the acylhydrolase activity towards lysophosphatidylcholine and monoacylglycerol. Further, the functional characteristic of the identified protein will reveal the physiological significance the enzyme in oil accumulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lipase" title="lipase">lipase</a>, <a href="https://publications.waset.org/abstracts/search?q=lipids" title=" lipids"> lipids</a>, <a href="https://publications.waset.org/abstracts/search?q=vegetable%20oil" title=" vegetable oil"> vegetable oil</a>, <a href="https://publications.waset.org/abstracts/search?q=triacylglycerol" title=" triacylglycerol"> triacylglycerol</a> </p> <a href="https://publications.waset.org/abstracts/77901/exploring-the-strategy-to-identify-seed-specific-acyl-hydrolases-from-arabidopsis-thaliana-by-activity-based-protein-profiling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77901.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">187</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">2585</span> Bioinformatic Prediction of Hub Genes by Analysis of Signaling Pathways, Transcriptional Regulatory Networks and DNA Methylation Pattern in Colon Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ankan%20Roy">Ankan Roy</a>, <a href="https://publications.waset.org/abstracts/search?q=Niharika"> Niharika</a>, <a href="https://publications.waset.org/abstracts/search?q=Samir%20Kumar%20Patra"> Samir Kumar Patra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anomalous nexus of complex topological assemblies and spatiotemporal epigenetic choreography at chromosomal territory may forms the most sophisticated regulatory layer of gene expression in cancer. Colon cancer is one of the leading malignant neoplasms of the lower gastrointestinal tract worldwide. There is still a paucity of information about the complex molecular mechanisms of colonic cancerogenesis. Bioinformatics prediction and analysis helps to identify essential genes and significant pathways for monitoring and conquering this deadly disease. The present study investigates and explores potential hub genes as biomarkers and effective therapeutic targets for colon cancer treatment. Colon cancer patient sample containing gene expression profile datasets, such as GSE44076, GSE20916, and GSE37364 were downloaded from Gene Expression Omnibus (GEO) database and thoroughly screened using the GEO2R tool and Funrich software to find out common 2 differentially expressed genes (DEGs). Other approaches, including Gene Ontology (GO) and KEGG pathway analysis, Protein-Protein Interaction (PPI) network construction and hub gene investigation, Overall Survival (OS) analysis, gene correlation analysis, methylation pattern analysis, and hub gene-Transcription factors regulatory network construction, were performed and validated using various bioinformatics tool. Initially, we identified 166 DEGs, including 68 up-regulated and 98 down-regulated genes. Up-regulated genes are mainly associated with the Cytokine-cytokine receptor interaction, IL17 signaling pathway, ECM-receptor interaction, Focal adhesion and PI3K-Akt pathway. Downregulated genes are enriched in metabolic pathways, retinol metabolism, Steroid hormone biosynthesis, and bile secretion. From the protein-protein interaction network, thirty hub genes with high connectivity are selected using the MCODE and cytoHubba plugin. Survival analysis, expression validation, correlation analysis, and methylation pattern analysis were further verified using TCGA data. Finally, we predicted COL1A1, COL1A2, COL4A1, SPP1, SPARC, and THBS2 as potential master regulators in colonic cancerogenesis. Moreover, our experimental data highlights that disruption of lipid raft and RAS/MAPK signaling cascade affects this gene hub at mRNA level. We identified COL1A1, COL1A2, COL4A1, SPP1, SPARC, and THBS2 as determinant hub genes in colon cancer progression. They can be considered as biomarkers for diagnosis and promising therapeutic targets in colon cancer treatment. Additionally, our experimental data advertise that signaling pathway act as connecting link between membrane hub and gene hub. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hub%20genes" title="hub genes">hub genes</a>, <a href="https://publications.waset.org/abstracts/search?q=colon%20cancer" title=" colon cancer"> colon cancer</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=epigenetic%20engineering" title=" epigenetic engineering"> epigenetic engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=bioinformatic%20predictions" title=" bioinformatic predictions"> bioinformatic predictions</a> </p> <a href="https://publications.waset.org/abstracts/152788/bioinformatic-prediction-of-hub-genes-by-analysis-of-signaling-pathways-transcriptional-regulatory-networks-and-dna-methylation-pattern-in-colon-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152788.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">128</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2584</span> Robustness Conditions for the Establishment of Stationary Patterns of Drosophila Segmentation Gene Expression</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ekaterina%20M.%20Myasnikova">Ekaterina M. Myasnikova</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrey%20A.%20Makashov"> Andrey A. Makashov</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20V.%20Spirov"> Alexander V. Spirov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> First manifestation of a segmentation pattern in the early Drosophila development is the formation of expression domains (along with the main embryo axis) of genes belonging to the trunk gene class. Highly variable expression of genes from gap family in early Drosophila embryo is strongly reduced by the start of gastrulation due to the gene cross-regulation. The dynamics of gene expression is described by a gene circuit model for a system of four gap genes. It is shown that for the formation of a steep and stationary border by the model it is necessary that there existed a nucleus (modeling point) in which the gene expression level is constant in time and hence is described by a stationary equation. All the rest genes expressed in this nucleus are in a dynamic equilibrium. The mechanism of border formation associated with the existence of a stationary nucleus is also confirmed by the experiment. An important advantage of this approach is that properties of the system in a stationary nucleus are described by algebraic equations and can be easily handled analytically. Thus we explicitly characterize the cross-regulation properties necessary for the robustness and formulate the conditions providing this effect through the properties of the initial input data. It is shown that our formally derived conditions are satisfied for the previously published model solutions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drosophila" title="drosophila">drosophila</a>, <a href="https://publications.waset.org/abstracts/search?q=gap%20genes" title=" gap genes"> gap genes</a>, <a href="https://publications.waset.org/abstracts/search?q=reaction-diffusion%20model" title=" reaction-diffusion model"> reaction-diffusion model</a>, <a href="https://publications.waset.org/abstracts/search?q=robustness" title=" robustness"> robustness</a> </p> <a href="https://publications.waset.org/abstracts/73794/robustness-conditions-for-the-establishment-of-stationary-patterns-of-drosophila-segmentation-gene-expression" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73794.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">366</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">2583</span> Intelligent CRISPR Design for Bone Regeneration</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu-Chen%20Hu">Yu-Chen Hu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Gene editing by CRISPR and gene regulation by microRNA or CRISPR activation have dramatically changed the way to manipulate cellular gene expression and cell fate. In recent years, various gene editing and gene manipulation technologies have been applied to control stem cell differentiation to enhance tissue regeneration. This research will focus on how to develop CRISPR, CRISPR activation (CRISPRa), CRISPR inhibition (CRISPRi), as well as bi-directional CRISPR-AI gene regulation technologies to control cell differentiation and bone regeneration. Moreover, in this study, CRISPR/Cas13d-mediated RNA editng for miRNA editing and bone regeneration will be discussed. <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=bone%20regeneration" title=" bone regeneration"> bone regeneration</a>, <a href="https://publications.waset.org/abstracts/search?q=stem%20cell" title=" stem cell"> stem cell</a>, <a href="https://publications.waset.org/abstracts/search?q=CRISPR" title=" CRISPR"> CRISPR</a>, <a href="https://publications.waset.org/abstracts/search?q=gene%20regulation" title=" gene regulation"> gene regulation</a> </p> <a href="https://publications.waset.org/abstracts/168750/intelligent-crispr-design-for-bone-regeneration" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168750.pdf" target="_blank" class="btn btn-primary 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