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differentially expressed genes</title> <meta name="description" content="Search results for: differentially expressed genes"> <meta name="keywords" content="differentially expressed genes"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" 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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 genes"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2077</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: differentially expressed genes</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2077</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">2076</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">2075</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">2074</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">2073</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">2072</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">2071</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">2070</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">2069</span> In silico Analysis of Differentially Expressed Genes in High-Grade Squamous Intraepithelial Lesion and Squamous Cell Carcinomas Stages of Cervical Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Agarwal">Rahul Agarwal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashutosh%20Singh"> Ashutosh Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cervical cancer is one of the women related cancers which starts from the pre-cancerous cells and a fraction of women with pre-cancers of the cervix will develop cervical cancer. Cervical pre-cancers if treated in pre-invasive stage can prevent almost all true cervical squamous cell carcinoma. The present study investigates the genes and pathways that are involved in the progression of cervical cancer and are responsible in transition from pre-invasive stage to other advanced invasive stages. The study used GDS3292 microarray data to identify the stage specific genes in cervical cancer and further to generate the network of the significant genes. The microarray data GDS3292 consists of the expression profiling of 10 normal cervices, 7 HSILs and 21 SCCs samples. The study identifies 70 upregulated and 37 downregulated genes in HSIL stage while 95 upregulated and 60 downregulated genes in SCC stages. Biological process including cell communication, signal transduction are highly enriched in both HSIL and SCC stages of cervical cancer. Further, the ppi interaction of genes involved in HSIL and SCC stages helps in identifying the interacting partners. This work may lead to the identification of potential diagnostic biomarker which can be utilized for early stage detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cervical%20cancer" title="cervical cancer">cervical cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=HSIL" title=" HSIL"> HSIL</a>, <a href="https://publications.waset.org/abstracts/search?q=microarray" title=" microarray"> microarray</a>, <a href="https://publications.waset.org/abstracts/search?q=SCC" title=" SCC"> SCC</a> </p> <a href="https://publications.waset.org/abstracts/72943/in-silico-analysis-of-differentially-expressed-genes-in-high-grade-squamous-intraepithelial-lesion-and-squamous-cell-carcinomas-stages-of-cervical-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72943.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">233</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">2068</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">2067</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">2066</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">2065</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">2064</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">2063</span> De Novo Assembly and Characterization of the Transcriptome during Seed Development, and Generation of Genic-SSR Markers in Pomegranate (Punica granatum L.)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ozhan%20Simsek">Ozhan Simsek</a>, <a href="https://publications.waset.org/abstracts/search?q=Dicle%20Donmez"> Dicle Donmez</a>, <a href="https://publications.waset.org/abstracts/search?q=Burhanettin%20Imrak"> Burhanettin Imrak</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahsen%20Isik%20Ozguven"> Ahsen Isik Ozguven</a>, <a href="https://publications.waset.org/abstracts/search?q=Yildiz%20Aka%20Kacar"> Yildiz Aka Kacar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pomegranate (Punica granatum L.) is known to be one of the oldest edible fruit tree species, with a wide geographical global distribution. Fruits from the two defined varieties (Hicaznar and 33N26) were taken at intervals after pollination and fertilization at different sizes. Seed samples were used for transcriptome sequencing. Primary sequencing was produced by Illumina Hi-Seq™ 2000. Firstly, we had raw reads, and it was subjected to quality control (QC). Raw reads were filtered into clean reads and aligned to the reference sequences. De novo analysis was performed to detect genes expressed in seeds of pomegranate varieties. We performed downstream analysis to determine differentially expressed genes. We generated about 27.09 gb bases in total after Illumina Hi-Seq sequencing. All samples were assembled together, we got 59,264 Unigenes, the total length, average length, N50, and GC content of Unigenes are 84.547.276 bp, 1.426 bp, 2,137 bp, and 46.20 %, respectively. Unigenes were annotated with 7 functional databases, finally, 42.681(NR: 72.02%), 39.660 (NT: 66.92%), 30.790 (Swissprot: 51.95%), 20.212 (COG: 34.11%), 27.689 (KEGG: 46.72%), 12.328 (GO: 20.80%), and 33,833 (Interpro: 57.09%) Unigenes were annotated. With functional annotation results, we detected 42.376 CDS, and 4.999 SSR distribute on 16.143 Unigenes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=next%20generation%20sequencing" title="next generation sequencing">next generation sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=SSR" title=" SSR"> SSR</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=Illumina" title=" Illumina"> Illumina</a> </p> <a href="https://publications.waset.org/abstracts/75369/de-novo-assembly-and-characterization-of-the-transcriptome-during-seed-development-and-generation-of-genic-ssr-markers-in-pomegranate-punica-granatum-l" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75369.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">240</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">2062</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">2061</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">2060</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">2059</span> Interconnections between Chronic Jet Lag and Neurological Disorders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Suliman%20Khan">Suliman Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Rabeea%20Siddique"> Rabeea Siddique</a>, <a href="https://publications.waset.org/abstracts/search?q=Mengzhou%20Xue"> Mengzhou Xue</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Patients with neurological disorders often display altered circadian rhythms. The disrupted circadian rhythms through chronic jetlag or shiftwork are thought to increase the risk and severity of human disease, including cancer, psychiatric, and related brain diseases. In this study, we investigated the impact of shiftwork or chronic jetlag (CJL) like conditions on mice’s brains. Transcriptome profiling based on RNA sequencing revealed that genes associated with serious neurological disorders were differentially expressed in the nucleus accumbens (NAc) and prefrontal cortex (PFC). According to the qPCR analysis, several key regulatory genes associated with neurological disorders were significantly altered in the NAc, PFC, hypothalamus, hippocampus, and striatum. Serotonin levels and the expression levels of serotonin transporters and receptors were significantly altered in mice treated with CJL. Overall, these results indicate that CJL may increase the risk of neurological disorders by disrupting the key regulatory genes, biological functions, serotonin, and corticosterone. These molecular linkages can further be studied to investigate the mechanism underlying CJL or shiftwork-mediated neurological disorders in order to develop treatment strategies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chronic%20jetlag" title="chronic jetlag">chronic jetlag</a>, <a href="https://publications.waset.org/abstracts/search?q=molecular%20profiles" title=" molecular profiles"> molecular profiles</a>, <a href="https://publications.waset.org/abstracts/search?q=brain%20disorders" title=" brain disorders"> brain disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=circadian%20rhythms" title=" circadian rhythms"> circadian rhythms</a> </p> <a href="https://publications.waset.org/abstracts/159316/interconnections-between-chronic-jet-lag-and-neurological-disorders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159316.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">120</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">2058</span> Identification of Blood Biomarkers Unveiling Early Alzheimer's Disease Diagnosis Through Single-Cell RNA Sequencing Data and Autoencoders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hediyeh%20Talebi">Hediyeh Talebi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shokoofeh%20Ghiam"> Shokoofeh Ghiam</a>, <a href="https://publications.waset.org/abstracts/search?q=Changiz%20Eslahchi"> Changiz Eslahchi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traditionally, Alzheimer’s disease research has focused on genes with significant fold changes, potentially neglecting subtle but biologically important alterations. Our study introduces an integrative approach that highlights genes crucial to underlying biological processes, regardless of their fold change magnitude. Alzheimer's Single-cell RNA-seq data related to the peripheral blood mononuclear cells (PBMC) was extracted from the Gene Expression Omnibus (GEO). After quality control, normalization, scaling, batch effect correction, and clustering, differentially expressed genes (DEGs) were identified with adjusted p-values less than 0.05. These DEGs were categorized based on cell-type, resulting in four datasets, each corresponding to a distinct cell type. To distinguish between cells from healthy individuals and those with Alzheimer's, an adversarial autoencoder with a classifier was employed. This allowed for the separation of healthy and diseased samples. To identify the most influential genes in this classification, the weight matrices in the network, which includes the encoder and classifier components, were multiplied, and focused on the top 20 genes. The analysis revealed that while some of these genes exhibit a high fold change, others do not. These genes, which may be overlooked by previous methods due to their low fold change, were shown to be significant in our study. The findings highlight the critical role of genes with subtle alterations in diagnosing Alzheimer's disease, a facet frequently overlooked by conventional methods. These genes demonstrate remarkable discriminatory power, underscoring the need to integrate biological relevance with statistical measures in gene prioritization. This integrative approach enhances our understanding of the molecular mechanisms in Alzheimer’s disease and provides a promising direction for identifying potential therapeutic targets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alzheimer%27s%20disease" title="alzheimer's disease">alzheimer's disease</a>, <a href="https://publications.waset.org/abstracts/search?q=single-cell%20RNA-seq" title=" single-cell RNA-seq"> single-cell RNA-seq</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20biomarkers" title=" blood biomarkers"> blood biomarkers</a> </p> <a href="https://publications.waset.org/abstracts/179335/identification-of-blood-biomarkers-unveiling-early-alzheimers-disease-diagnosis-through-single-cell-rna-sequencing-data-and-autoencoders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179335.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">66</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">2057</span> De novo Transcriptome Assembly of Lumpfish (Cyclopterus lumpus L.) Brain Towards Understanding their Social and Cognitive Behavioural Traits</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Likith%20Reddy%20Pinninti">Likith Reddy Pinninti</a>, <a href="https://publications.waset.org/abstracts/search?q=Fredrik%20Ribsskog%20Staven"> Fredrik Ribsskog Staven</a>, <a href="https://publications.waset.org/abstracts/search?q=Leslie%20Robert%20Noble"> Leslie Robert Noble</a>, <a href="https://publications.waset.org/abstracts/search?q=Jorge%20Manuel%20de%20Oliveira%20Fernandes"> Jorge Manuel de Oliveira Fernandes</a>, <a href="https://publications.waset.org/abstracts/search?q=Deepti%20Manjari%20Patel"> Deepti Manjari Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=Torstein%20Kristensen"> Torstein Kristensen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding fish behavior is essential to improve animal welfare in aquaculture research. Behavioral traits can have a strong influence on fish health and habituation. To identify the genes and biological pathways responsible for lumpfish behavior, we performed an experiment to understand the interspecies relationship (mutualism) between the lumpfish and salmon. Also, we tested the correlation between the gene expression data vs. observational/physiological data to know the essential genes that trigger stress and swimming behavior in lumpfish. After the de novo assembly of the brain transcriptome, all the samples were individually mapped to the available lumpfish (Cyclopterus lumpus L.) primary genome assembly (fCycLum1.pri, GCF_009769545.1). Out of ~16749 genes expressed in brain samples, we found 267 genes to be statistically significant (P > 0.05) found only in odor and control (1), model and control (41) and salmon and control (225) groups. However, genes with |LogFC| ≥0.5 were found to be only eight; these are considered as differentially expressed genes (DEG’s). Though, we are unable to find the differential genes related to the behavioral traits from RNA-Seq data analysis. From the correlation analysis, between the gene expression data vs. observational/physiological data (serotonin (5HT), dopamine (DA), 3,4-Dihydroxyphenylacetic acid (DOPAC), 5-hydroxy indole acetic acid (5-HIAA), Noradrenaline (NORAD)). We found 2495 genes found to be significant (P > 0.05) and among these, 1587 genes are positively correlated with the Noradrenaline (NORAD) hormone group. This suggests that Noradrenaline is triggering the change in pigmentation and skin color in lumpfish. Genes related to behavioral traits like rhythmic, locomotory, feeding, visual, pigmentation, stress, response to other organisms, taxis, dopamine synthesis and other neurotransmitter synthesis-related genes were obtained from the correlation analysis. In KEGG pathway enrichment analysis, we find important pathways, like the calcium signaling pathway and adrenergic signaling in cardiomyocytes, both involved in cell signaling, behavior, emotion, and stress. Calcium is an essential signaling molecule in the brain cells; it could affect the behavior of fish. Our results suggest that changes in calcium homeostasis and adrenergic receptor binding activity lead to changes in fish behavior during stress. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavior" title="behavior">behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=De%20novo" title=" De novo"> De novo</a>, <a href="https://publications.waset.org/abstracts/search?q=lumpfish" title=" lumpfish"> lumpfish</a>, <a href="https://publications.waset.org/abstracts/search?q=salmon" title=" salmon"> salmon</a> </p> <a href="https://publications.waset.org/abstracts/141908/de-novo-transcriptome-assembly-of-lumpfish-cyclopterus-lumpus-l-brain-towards-understanding-their-social-and-cognitive-behavioural-traits" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141908.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">173</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">2056</span> Detection and Expression of Peroxidase Genes in Trichoderma harzianum KY488466 and Its Response to Crude Oil Degradation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michael%20Dare%20Asemoloye">Michael Dare Asemoloye</a>, <a href="https://publications.waset.org/abstracts/search?q=Segun%20Gbolagade%20Jonathan"> Segun Gbolagade Jonathan</a>, <a href="https://publications.waset.org/abstracts/search?q=Rafiq%20Ahmad"> Rafiq Ahmad</a>, <a href="https://publications.waset.org/abstracts/search?q=Odunayo%20Joseph%20Olawuyi"> Odunayo Joseph Olawuyi</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20O.%20Adejoye"> D. O. Adejoye</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fungi have potentials for degrading hydrocarbons through the secretion of different enzymes. Crude oil tolerance and degradation by Trichoderma harzianum was investigated in this study with its ability to produce peroxidase enzymes (LiP and MnP). Many fungal strains were isolated from rhizosphere of grasses growing on a crude oil spilled site, and the most frequent strain based on percentage incidence was further characterized using morphological and molecular characteristics. Molecular characterization was done through the amplification of Ribosomal-RNA regions of 18s (1609-1627) and 28s (287-266) using ITS1 and ITS4 combinations and it was identified using NCBI BLAST tool. The selected fungus was also subjected to an in-vitro tolerance test at crude oil concentrations of 5, 10, 15, 20 and 25% while 0% served as control. In addition, lignin peroxidase genes (lig1-6) and manganese peroxidase gene (mnp) were detected and expressed in this strain using RT-PCR technique, its peroxidase producing activities was also studied in aliquots (U/ml). This strain had highest incidence of 80%, it was registered in NCBI as Trichoderma harzianum asemoJ KY488466. The strain KY488466 responded to crude oil concentrations as it increase, the dose inhibition response percentage (DIRP) increased from 41.67 to 95.41 at 5 to 25 % crude oil concentrations. All the peroxidase genes are present in KY488466, and expressed with amplified 900-1000 bp through RT-PCR technique. In this strain, lig2, lig4 and mnp genes were over-expressed, lig 6 was moderately expressed, while none of the genes was under-expressed. The strain also produced 90±0.87 U/ml lignin peroxidase and 120±1.23 U/mil manganese peroxidase enzymes in aliquots. These results imply that KY488466 can tolerate and survive high crude oil concentration and could be exploited for bioremediation of oil-spilled soils, the produced peroxidase enzymes could also be exploited for other biotechnological experiments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crude%20oil" title="crude oil">crude oil</a>, <a href="https://publications.waset.org/abstracts/search?q=enzymes" title=" enzymes"> enzymes</a>, <a href="https://publications.waset.org/abstracts/search?q=expression" title=" expression"> expression</a>, <a href="https://publications.waset.org/abstracts/search?q=peroxidase%20genes" title=" peroxidase genes"> peroxidase genes</a>, <a href="https://publications.waset.org/abstracts/search?q=tolerance" title=" tolerance"> tolerance</a>, <a href="https://publications.waset.org/abstracts/search?q=Trichoderma%20harzianum" title=" Trichoderma harzianum"> Trichoderma harzianum</a> </p> <a href="https://publications.waset.org/abstracts/77759/detection-and-expression-of-peroxidase-genes-in-trichoderma-harzianum-ky488466-and-its-response-to-crude-oil-degradation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77759.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">228</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">2055</span> Comparative Transcriptome Profiling of Low Light Tolerant and Sensitive Rice Varieties Induced by Low Light Stress at Active Tillering Stage</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Darshan%20Panda">Darshan Panda</a>, <a href="https://publications.waset.org/abstracts/search?q=Lambodar%20Behera"> Lambodar Behera</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Baig"> M. J. Baig</a>, <a href="https://publications.waset.org/abstracts/search?q=Sudhanshu%20Sekhar"> Sudhanshu Sekhar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Low light intensity is a significant limitation for grain yield and quality in rice. However, yield is not significantly reduced in low-light tolerant rice varieties. The work, therefore, planned for comparative transcriptome profiling under low light stress to decipher the genes involved and molecular mechanism of low light tolerance in rice. At the active tillering stage, 50% low light exposure for one day, three days, and five days were given to Swarnaprabha (low light tolerant) and IR8 (low light sensitive) rice varieties. Illumina (HiSeq) platform was used for transcriptome sequencing. A total of 6,652 and 12,042 genes were differentially expressed due to low light intensity in Swarnaprabha and IR8, respectively, as compared to control. CAB, LRP, SBPase, MT15, TF PCL1, and Photosystem I & II complex related gene expressions were mostly increased in Swarnaprabha upon the longer duration of low light exposure, which was not found in IR8 as compared to control. Their expressions were validated by qRT-PCR. The overall study suggested that the maintenance of grain yield in the tolerant variety under low light might be the result of accelerated expression of the genes, which enable the plant to keep the photosynthetic processes moving at the same pace even under low light. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rice" title="rice">rice</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20light" title=" low light"> low light</a>, <a href="https://publications.waset.org/abstracts/search?q=photosynthesis" title=" photosynthesis"> photosynthesis</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a> </p> <a href="https://publications.waset.org/abstracts/141335/comparative-transcriptome-profiling-of-low-light-tolerant-and-sensitive-rice-varieties-induced-by-low-light-stress-at-active-tillering-stage" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141335.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2054</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">2053</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">2052</span> The Importance of including All Data in a Linear Model for the Analysis of RNAseq Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roxane%20A.%20Legaie">Roxane A. Legaie</a>, <a href="https://publications.waset.org/abstracts/search?q=Kjiana%20E.%20Schwab"> Kjiana E. Schwab</a>, <a href="https://publications.waset.org/abstracts/search?q=Caroline%20E.%20Gargett"> Caroline E. Gargett</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Studies looking at the changes in gene expression from RNAseq data often make use of linear models. It is also common practice to focus on a subset of data for a comparison of interest, leaving aside the samples not involved in this particular comparison. This work shows the importance of including all observations in the modeling process to better estimate variance parameters, even when the samples included are not directly used in the comparison under test. The human endometrium is a dynamic tissue, which undergoes cycles of growth and regression with each menstrual cycle. The mesenchymal stem cells (MSCs) present in the endometrium are likely responsible for this remarkable regenerative capacity. However recent studies suggest that MSCs also plays a role in the pathogenesis of endometriosis, one of the most common medical conditions affecting the lower abdomen in women in which the endometrial tissue grows outside the womb. In this study we compared gene expression profiles between MSCs and non-stem cell counterparts (‘non-MSC’) obtained from women with (‘E’) or without (‘noE’) endometriosis from RNAseq. Raw read counts were used for differential expression analysis using a linear model with the limma-voom R package, including either all samples in the study or only the samples belonging to the subset of interest (e.g. for the comparison ‘E vs noE in MSC cells’, including only MSC samples from E and noE patients but not the non-MSC ones). Using the full dataset we identified about 100 differentially expressed (DE) genes between E and noE samples in MSC samples (adj.p-val < 0.05 and |logFC|>1) while only 9 DE genes were identified when using only the subset of data (MSC samples only). Important genes known to be involved in endometriosis such as KLF9 and RND3 were missed in the latter case. When looking at the MSC vs non-MSC cells comparison, the linear model including all samples identified 260 genes for noE samples (including the stem cell marker SUSD2) while the subset analysis did not identify any DE genes. When looking at E samples, 12 genes were identified with the first approach and only 1 with the subset approach. Although the stem cell marker RGS5 was found in both cases, the subset test missed important genes involved in stem cell differentiation such as NOTCH3 and other potentially related genes to be used for further investigation and pathway analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=differential%20expression" title="differential expression">differential expression</a>, <a href="https://publications.waset.org/abstracts/search?q=endometriosis" title=" endometriosis"> endometriosis</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20model" title=" linear model"> linear model</a>, <a href="https://publications.waset.org/abstracts/search?q=RNAseq" title=" RNAseq"> RNAseq</a> </p> <a href="https://publications.waset.org/abstracts/36190/the-importance-of-including-all-data-in-a-linear-model-for-the-analysis-of-rnaseq-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36190.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">432</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">2051</span> Melatonin Improved Vase Quality by Delaying Oxidation Reaction and Supplying More Energies in Cut Peony (Paeonia Lactiflora cv. Sarah)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tai%20Chen">Tai Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Caihuan%20Tian"> Caihuan Tian</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiuxia%20Ren"> Xiuxia Ren</a>, <a href="https://publications.waset.org/abstracts/search?q=Jingqi%20Xue"> Jingqi Xue</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiuxin%20Zhang"> Xiuxin Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The herbaceous peony has become increasingly popular worldwide in recent years, especially as a cut flower with great economic value. However, peony has a very short vase life, only 3-5 d usually, which seriously affects its commodity value. In this study, we used the cut peony (Paeonia lactiflora cv. Sarah) as a material and found that melatonin treatment significantly improved its postharvest performance. In the control group, its vase life was 4.8 d, accompanied by petal dropping at last; melatonin treatment (40 μM) increased this time to 6.9 d without petal dropping at the end. Further study showed that melatonin treatment significantly increased the activity of antioxidant enzymes as well as reduced sugar content in petals, whereas the starch content in petals decreased. These results indicated that melatonin treatment may delay the oxidation reaction caused by aging, which also provides extra energy for maintaining flowering. Through full-length transcriptome sequencing, a total of 2819 differentially expressed genes (DEGs) between control and melatonin treatment groups were identified. KEGG enrichment analysis showed that these DEGs were mainly involved in three pathways, including melatonin synthesis, starch and sucrose conversion, and plant disease resistance. After the RT-qPCR verification, we identified three DEGs, named PlBAM3, PlWRKY22 and PlTIP1, and they should play major roles in melatonin-improved postharvest performance. One possible reason is that PlBAM3 caused maltose production (by starch degradation), maintained the proline biosynthesis, and then alleviated oxidative stress. Another reason is that both PlBAM3 and PlWRKY22 are key drought resistance regulators, which have the ability to alleviate osmotic stress and improve water absorption, which may also help to improve the postharvest quality of cut peony. In addition, PlTIP1 is involved in the sugar signal pathway, indicating sugar may also as a signal substance during this process. Our work may give new ideas for developing new ways to prolong the vase life of cut peony and improve its commodity value eventually. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cut%20peony" title="cut peony">cut peony</a>, <a href="https://publications.waset.org/abstracts/search?q=melatonin" title=" melatonin"> melatonin</a>, <a href="https://publications.waset.org/abstracts/search?q=vase%20life" title=" vase life"> vase life</a>, <a href="https://publications.waset.org/abstracts/search?q=oxidation%20reaction" title=" oxidation reaction"> oxidation reaction</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20supply" title=" energy supply"> energy supply</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/186344/melatonin-improved-vase-quality-by-delaying-oxidation-reaction-and-supplying-more-energies-in-cut-peony-paeonia-lactiflora-cv-sarah" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186344.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">50</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">2050</span> In Silico Analysis of Salivary miRNAs to Identify the Diagnostic Biomarkers for Oral Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andleeb%20Zahra">Andleeb Zahra</a>, <a href="https://publications.waset.org/abstracts/search?q=Itrat%20Rubab"> Itrat Rubab</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumaira%20Malik"> Sumaira Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Amina%20Khan"> Amina Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Jawad%20Khan"> Muhammad Jawad Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Qaiser%20Fatmi"> M. Qaiser Fatmi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide. Recent studies have highlighted the role of miRNA in disease pathology, indicating its potential use in an early diagnostic tool. miRNAs are small, double stranded, non-coding RNAs that regulate gene expression by deregulating mRNAs. miRNAs play important roles in modifying various cellular processes such as cell growth, differentiation, apoptosis, and immune response. Dis-regulated expression of miRNAs is known to affect the cell growth, and this may function as tumor suppressors or oncogenes in various cancers. Objectives: The main objectives of this study were to characterize the extracellular miRNAs involved in oral cancer (OC) to assist early detection of cancer as well as to propose a list of genes that can potentially be used as biomarkers of OC. We used gene expression data by microarrays already available in literature. Materials and Methods: In the first step, a total of 318 miRNAs involved in oral carcinoma were shortlisted followed by the prediction of their target genes. Simultaneously, the differentially expressed genes (DEGs) of oral carcinoma from all experiments were identified. The common genes between lists of DEGs of OC based on experimentally proven data and target genes of each miRNA were identified. These common genes are the targets of specific miRNA, which is involved in OC. Finally, a list of genes was generated which may be used as biomarker of OC. Results and Conclusion: In results, we included some of pathways in cancer to show the change in gene expression under the control of specific miRNA. Ingenuity pathway analysis (IPA) provided a list of major biomarkers like CDH2, CDK7 and functional enrichment analysis identified the role of miRNA in major pathways like cell adhesion molecules pathway affected by cancer. We observed that at least 25 genes are regulated by maximum number of miRNAs, and thereby, they can be used as biomarkers of OC. To better understand the role of miRNA with respect to their target genes further experiments are required, and our study provides a platform to better understand the miRNA-OC relationship at genomics level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title="biomarkers">biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=gene%20expression" title=" gene expression"> gene expression</a>, <a href="https://publications.waset.org/abstracts/search?q=miRNA" title=" miRNA"> miRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=oral%20carcinoma" title=" oral carcinoma"> oral carcinoma</a> </p> <a href="https://publications.waset.org/abstracts/39983/in-silico-analysis-of-salivary-mirnas-to-identify-the-diagnostic-biomarkers-for-oral-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39983.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2049</span> Genome-Wide Expression Profiling of Cicer arietinum Heavy Metal Toxicity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20S.%20Yadav">B. S. Yadav</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Mani"> A. Mani</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Srivastava"> S. Srivastava</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Chickpea (Cicer arietinum L.) is an annual, self-pollinating, diploid (2n = 2x = 16) pulse crop that ranks second in world legume production after common bean (Phaseolus vulgaris). ICC 4958 flowers approximately 39 days after sowing under peninsular Indian conditions and the crop matures in less than 90 days in rained environments. The estimated collective yield losses due to abiotic stresses (6.4 million t) have been significantly higher than for biotic stresses (4.8 million t). Most legumes are known to be salt sensitive, and therefore, it is becoming increasingly important to produce cultivars tolerant to high-salinity in addition to other abiotic and biotic stresses for sustainable chickpea production. Our aim was to identify the genes that are involved in the defence mechanism against heavy metal toxicity in chickpea and establish the biological network of heavy metal toxicity in chickpea. ICC4958 variety of chick pea was taken and grown in normal condition and 150µM concentration of different heavy metal salt like CdCl₂, K₂Cr2O₇, NaAsO₂. At 15th day leave samples were collected and stored in RNA Later solution microarray was performed for checking out differential gene expression pattern. Our studies revealed that 111 common genes that involved in defense mechanism were up regulated and 41 genes were commonly down regulated during treatment of 150µM concentration of CdCl₂, K₂Cr₂O₇, and NaAsO₂. Biological network study shows that the genes which are differentially expressed are highly connected and having high betweenness and centrality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abiotic%20stress" title="abiotic stress">abiotic stress</a>, <a href="https://publications.waset.org/abstracts/search?q=biological%20network" title=" biological network"> biological network</a>, <a href="https://publications.waset.org/abstracts/search?q=chickpea" title=" chickpea"> chickpea</a>, <a href="https://publications.waset.org/abstracts/search?q=microarray" title=" microarray"> microarray</a> </p> <a href="https://publications.waset.org/abstracts/78176/genome-wide-expression-profiling-of-cicer-arietinum-heavy-metal-toxicity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78176.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">197</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">2048</span> Expression of Hypoxia-Inducible Transmembrane Carbonic Anhydrases IX, Ca XII and Glut 1 in Ovarian Cancer </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Sunitha">M. Sunitha</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Nithyavani"> B. Nithyavani</a>, <a href="https://publications.waset.org/abstracts/search?q=Mathew%20Yohannan"> Mathew Yohannan</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Thiruvieni%20Balajji"> S. Thiruvieni Balajji</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Rathi"> M. A. Rathi</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Arul%20Raj"> C. Arul Raj</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Ragavendran"> P. Ragavendran</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20K.%20Gopalkrishnan"> V. K. Gopalkrishnan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Establishment of an early and reliable biomarker for ovarian carcinogenesis whose expression can be monitored through noninvasive techniques will enable early diagnosis of cancer. Carbonic anhydrases (CA) isozymes IX and XII have been suggested to play a role in oncogenic processes. In von Hippel-Lindau (VHL)-defective tumors, the cell surface transmembrane carbonic anhydrase (CA) CA XI and CA XII genes are overexpressed because of the absence of pVHL. These enzymes are involved in causing a hypoxia condition, thereby providing an environment for metastasis. Aberrant expression of the facilitative glucose transporter GLUT I is found in a wide spectrum of epithelial malignancies. Studying the mRNA expression of CA IX, CA XII and Glut I isozymes in ovarian cancer cell lines (OAW-42 and PA-1) revealed the expression of these hypoxia genes. Immunohistochemical staining of carbonic anhydrases was also performed in 40 ovarian cancer tissues. CA IX and CA XII were expressed at 540 bp and 520 bp in OAW42, PA1 in ovarian cancer cell lines. GLUT-1 was expressed at 325bp in OAW 42, PA1 genes in ovarian cancer cell lines. Immunohistochemistry revealed high to moderate levels of expression of these enzymes. The immuostaining was seen predominantly on the cell surface membrane. The study concluded that these genes CA IX, CA XII and Glut I are expressed under hypoxic condition in tumor cells. From the present results expression of CA IX, XII and Glut I may represent potential targets in ovarian cancer therapy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ovarian%20cancer" title="ovarian cancer">ovarian cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=carbonic%20anhydrase%20IX" title=" carbonic anhydrase IX"> carbonic anhydrase IX</a>, <a href="https://publications.waset.org/abstracts/search?q=XII" title=" XII"> XII</a>, <a href="https://publications.waset.org/abstracts/search?q=Glut%20I" title=" Glut I"> Glut I</a>, <a href="https://publications.waset.org/abstracts/search?q=tumor%20markers" title=" tumor markers "> tumor markers </a> </p> <a href="https://publications.waset.org/abstracts/9998/expression-of-hypoxia-inducible-transmembrane-carbonic-anhydrases-ix-ca-xii-and-glut-1-in-ovarian-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9998.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">369</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=differentially%20expressed%20genes&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=differentially%20expressed%20genes&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=differentially%20expressed%20genes&page=4">4</a></li> <li class="page-item"><a class="page-link" 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