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LncRNA</title> <meta name="description" content="Search results for: LncRNA"> <meta name="keywords" content="LncRNA"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="LncRNA"> <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> 15</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: LncRNA</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">15</span> lncRNA Gene Expression Profiling Analysis by TCGA RNA-Seq Data of Breast Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiaoping%20Su">Xiaoping Su</a>, <a href="https://publications.waset.org/abstracts/search?q=Gabriel%20G.%20Malouf"> Gabriel G. Malouf</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Breast cancer is a heterogeneous disease that can be classified in 4 subgroups using transcriptional profiling. The role of lncRNA expression in human breast cancer biology, prognosis, and molecular classification remains unknown. Methods and results: Using an integrative comprehensive analysis of lncRNA, mRNA and DNA methylation in 900 breast cancer patients from The Cancer Genome Atlas (TCGA) project, we unraveled the molecular portraits of 1,700 expressed lncRNA. Some of those lncRNAs (i.e, HOTAIR) are previously reported and others are novel (i.e, HOTAIRM1, MAPT-AS1). The lncRNA classification correlated well with the PAM50 classification for basal-like, Her-2 enriched and luminal B subgroups, in contrast to the luminal A subgroup which behaved differently. Importantly, estrogen receptor (ESR1) expression was associated with distinct lncRNA networks in lncRNA clusters III and IV. Gene set enrichment analysis for cis- and trans-acting lncRNA showed enrichment for breast cancer signatures driven by breast cancer master regulators. Almost two third of those lncRNA were marked by enhancer chromatin modifications (i.e., H3K27ac), suggesting that lncRNA expression may result in increased activity of neighboring genes. Differential analysis of gene expression profiling data showed that lncRNA HOTAIRM1 was significantly down-regulated in basal-like subtype, and DNA methylation profiling data showed that lncRNA HOTAIRM1 was highly methylated in basal-like subtype. Thus, our integrative analysis of gene expression and DNA methylation strongly suggested that lncRNA HOTAIRM1 should be a tumor suppressor in basal-like subtype. Conclusion and significance: Our study depicts the first lncRNA molecular portrait of breast cancer and shows that lncRNA HOTAIRM1 might be a novel tumor suppressor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lncRNA%20profiling" title="lncRNA profiling">lncRNA profiling</a>, <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title=" breast cancer"> breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=HOTAIRM1" title=" HOTAIRM1"> HOTAIRM1</a>, <a href="https://publications.waset.org/abstracts/search?q=tumor%20suppressor" title=" tumor suppressor"> tumor suppressor</a> </p> <a href="https://publications.waset.org/abstracts/104472/lncrna-gene-expression-profiling-analysis-by-tcga-rna-seq-data-of-breast-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/104472.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">105</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">14</span> Persistent Ribosomal In-Frame Mis-Translation of Stop Codons as Amino Acids in Multiple Open Reading Frames of a Human Long Non-Coding RNA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leonard%20Lipovich">Leonard Lipovich</a>, <a href="https://publications.waset.org/abstracts/search?q=Pattaraporn%20Thepsuwan"> Pattaraporn Thepsuwan</a>, <a href="https://publications.waset.org/abstracts/search?q=Anton-Scott%20Goustin"> Anton-Scott Goustin</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20Cai"> Juan Cai</a>, <a href="https://publications.waset.org/abstracts/search?q=Donghong%20Ju"> Donghong Ju</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20B.%20Brown"> James B. Brown</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Two-thirds of human genes do not encode any known proteins. Aside from long non-coding RNA (lncRNA) genes with recently-discovered functions, the ~40,000 non-protein-coding human genes remain poorly understood, and a role for their transcripts as de-facto unconventional messenger RNAs has not been formally excluded. Ribosome profiling (Riboseq) predicts translational potential, but without independent evidence of proteins from lncRNA open reading frames (ORFs), ribosome binding of lncRNAs does not prove translation. Previously, we mass-spectrometrically documented translation of specific lncRNAs in human K562 and GM12878 cells. We now examined lncRNA translation in human MCF7 cells, integrating strand-specific Illumina RNAseq, Riboseq, and deep mass spectrometry in biological quadruplicates performed at two core facilities (BGI, China; City of Hope, USA). We excluded known-protein matches. UCSC Genome Browser-assisted manual annotation of imperfect (tryptic-digest-peptides)-to-(lncRNA-three-frame-translations) alignments revealed three peptides hypothetically explicable by 'stop-to-nonstop' in-frame replacement of stop codons by amino acids in two ORFs of the lncRNA MMP24-AS1. To search for this phenomenon genomewide, we designed and implemented a novel pipeline, matching tryptic-digest spectra to wildcard-instead-of-stop versions of repeat-masked, six-frame, whole-genome translations. Along with singleton putative stop-to-nonstop events affecting four other lncRNAs, we identified 24 additional peptides with stop-to-nonstop in-frame substitutions from multiple positive-strand MMP24-AS1 ORFs. Only UAG and UGA, never UAA, stop codons were impacted. All MMP24-AS1-matching spectra met the same significance thresholds as high-confidence known-protein signatures. Targeted resequencing of MMP24-AS1 genomic DNA and cDNA from the same samples did not reveal any mutations, polymorphisms, or sequencing-detectable RNA editing. This unprecedented apparent gene-specific violation of the genetic code highlights the importance of matching peptides to whole-genome, not known-genes-only, ORFs in mass-spectrometry workflows, and suggests a new mechanism enhancing the combinatorial complexity of the proteome. Funding: NIH Director’s New Innovator Award 1DP2-CA196375 to LL. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20code" title="genetic code">genetic code</a>, <a href="https://publications.waset.org/abstracts/search?q=lncRNA" title=" lncRNA"> lncRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20non-coding%20RNA" title=" long non-coding RNA"> long non-coding RNA</a>, <a href="https://publications.waset.org/abstracts/search?q=mass%20spectrometry" title=" mass spectrometry"> mass spectrometry</a>, <a href="https://publications.waset.org/abstracts/search?q=proteogenomics" title=" proteogenomics"> proteogenomics</a>, <a href="https://publications.waset.org/abstracts/search?q=ribo-seq" title=" ribo-seq"> ribo-seq</a>, <a href="https://publications.waset.org/abstracts/search?q=ribosome" title=" ribosome"> ribosome</a>, <a href="https://publications.waset.org/abstracts/search?q=RNAseq" title=" RNAseq "> RNAseq </a> </p> <a href="https://publications.waset.org/abstracts/90989/persistent-ribosomal-in-frame-mis-translation-of-stop-codons-as-amino-acids-in-multiple-open-reading-frames-of-a-human-long-non-coding-rna" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90989.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">235</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">13</span> LncRNA-miRNA-mRNA Networks Associated with BCR-ABL T315I Mutation in Chronic Myeloid Leukemia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adenike%20Adesanya">Adenike Adesanya</a>, <a href="https://publications.waset.org/abstracts/search?q=Nonthaphat%20Wong"> Nonthaphat Wong</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiang-Yun%20Lan"> Xiang-Yun Lan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shea%20Ping%20Yip"> Shea Ping Yip</a>, <a href="https://publications.waset.org/abstracts/search?q=Chien-Ling%20Huang"> Chien-Ling Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The most challenging mutation of the oncokinase BCR-ABL protein T315I, which is commonly known as the “gatekeeper” mutation and is notorious for its strong resistance to almost all tyrosine kinase inhibitors (TKIs), especially imatinib. Therefore, this study aims to identify T315I-dependent downstream microRNA (miRNA) pathways associated with drug resistance in chronic myeloid leukemia (CML) for prognostic and therapeutic purposes. Methods: T315I-carrying K562 cell clones (K562-T315I) were generated by the CRISPR-Cas9 system. Imatinib-treated K562-T315I cells were subjected to small RNA library preparation and next-generation sequencing. Putative lncRNA-miRNA-mRNA networks were analyzed with (i) DESeq2 to extract differentially expressed miRNAs, using Padj value of 0.05 as cut-off, (ii) STarMir to obtain potential miRNA response element (MRE) binding sites of selected miRNAs on lncRNA H19, (iii) miRDB, miRTarbase, and TargetScan to predict mRNA targets of selected miRNAs, (iv) IntaRNA to obtain putative interactions between H19 and the predicted mRNAs, (v) Cytoscape to visualize putative networks, and (vi) several pathway analysis platforms – Enrichr, PANTHER and ShinyGO for pathway enrichment analysis. Moreover, mitochondria isolation and transcript quantification were adopted to determine the new mechanism involved in T315I-mediated resistance of CML treatment. Results: Verification of the CRISPR-mediated mutagenesis with digital droplet PCR detected the mutation abundance of ≥80%. Further validation showed the viability of ≥90% by cell viability assay, and intense phosphorylated CRKL protein band being detected with no observable change for BCR-ABL and c-ABL protein expressions by Western blot. As reported by several investigations into hematological malignancies, we determined a 7-fold increase of H19 expression in K562-T315I cells. After imatinib treatment, a 9-fold increment was observed. DESeq2 revealed 171 miRNAs were differentially expressed K562-T315I, 112 out of these miRNAs were identified to have MRE binding regions on H19, and 26 out of the 112 miRNAs were significantly downregulated. Adopting the seed-sequence analysis of these identified miRNAs, we obtained 167 mRNAs. 6 hub miRNAs (hsa-let-7b-5p, hsa-let-7e-5p, hsa-miR-125a-5p, hsa-miR-129-5p, and hsa-miR-372-3p) and 25 predicted genes were identified after constructing hub miRNA-target gene network. These targets demonstrated putative interactions with H19 lncRNA and were mostly enriched in pathways related to cell proliferation, senescence, gene silencing, and pluripotency of stem cells. Further experimental findings have also shown the up-regulation of mitochondrial transcript and lncRNA MALAT1 contributing to the lncRNA-miRNA-mRNA networks induced by BCR-ABL T315I mutation. Conclusions: Our results have indicated that lncRNA-miRNA regulators play a crucial role not only in leukemogenesis but also in drug resistance, considering the significant dysregulation and interactions in the K562-T315I cell model generated by CRISPR-Cas9. In silico analysis has further shown that lncRNAs H19 and MALAT1 bear several complementary miRNA sites. This implies that they could serve as a sponge, hence sequestering the activity of the target miRNAs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chronic%20myeloid%20leukemia" title="chronic myeloid leukemia">chronic myeloid leukemia</a>, <a href="https://publications.waset.org/abstracts/search?q=imatinib%20resistance" title=" imatinib resistance"> imatinib resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=lncRNA-miRNA-mRNA" title=" lncRNA-miRNA-mRNA"> lncRNA-miRNA-mRNA</a>, <a href="https://publications.waset.org/abstracts/search?q=T315I%20mutation" title=" T315I mutation"> T315I mutation</a> </p> <a href="https://publications.waset.org/abstracts/148805/lncrna-mirna-mrna-networks-associated-with-bcr-abl-t315i-mutation-in-chronic-myeloid-leukemia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148805.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12</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">11</span> Evaluation of the Role of Circulating Long Non-Coding RNA H19 as a Promising Biomarker in Plasma of Patients with Gastric Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Doaa%20Hashad">Doaa Hashad</a>, <a href="https://publications.waset.org/abstracts/search?q=Amany%20Elbanna"> Amany Elbanna</a>, <a href="https://publications.waset.org/abstracts/search?q=Abeer%20Ibrahim"> Abeer Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Gihan%20Khedr"> Gihan Khedr</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: H19 is one of the long non coding RNAs (LncRNA) that is related to the progression of many diseases including cancers. This work was carried out to study the level of the long non-coding RNA; H119, in plasma of patients with gastric cancer (GC) and to assess its significance in their clinical management. Methods: A total of sixty-two participants were enrolled in the present study. The first group included thirty-two GC patients, while the second group was formed of thirty age and sex matched healthy volunteers serving as a control group. Plasma samples were used to assess H19 gene expression using real time quantitative PCR technique. Results: H19 expression was up-regulated in GC patients with positive correlation to TNM cancer stages. Conclusions: Up-regulation of H19 is closely associated with gastric cancer and correlates well with tumor staging. Convenient, efficient quantification of H19 in plasma using real time PCR technique implements its role as a potential noninvasive prognostic biomarker in gastric cancer, that predicts patient’s outcome and most importantly as a novel target in gastric cancer treatment with better performance achieved on using both CEA and H19 simultaneously. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomarker" title="biomarker">biomarker</a>, <a href="https://publications.waset.org/abstracts/search?q=gastric" title=" gastric"> gastric</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer" title=" cancer"> cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=LncRNA" title=" LncRNA"> LncRNA</a> </p> <a href="https://publications.waset.org/abstracts/45826/evaluation-of-the-role-of-circulating-long-non-coding-rna-h19-as-a-promising-biomarker-in-plasma-of-patients-with-gastric-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45826.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">318</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">10</span> Long Non-Coding RNAs Mediated Regulation of Diabetes in Humanized Mouse</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md.%20M.%20Hossain">Md. M. Hossain</a>, <a href="https://publications.waset.org/abstracts/search?q=Regan%20Roat"> Regan Roat</a>, <a href="https://publications.waset.org/abstracts/search?q=Jenica%20Christopherson"> Jenica Christopherson</a>, <a href="https://publications.waset.org/abstracts/search?q=Colette%20Free"> Colette Free</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhiguang%20Guo"> Zhiguang Guo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Long noncoding RNA (lncRNA) mediated post-transcriptional gene regulation, and their epigenetic landscapes have been shown to be involved in many human diseases. However, their regulation in diabetes through governing islet’s β-cell function and survival needs to be elucidated. Due to the technical and ethical constraints, it is difficult to study their role in β-cell function and survival in human under in vivo condition. In this study, humanized mice have been developed through transplanting human pancreatic islet under the kidney capsule of NOD.SCID mice and induced β-cell death leading to diabetes condition to study lncRNA mediated regulation. For this, human islets from 3 donors (3000 IEQ, purity > 80%) were transplanted under the kidney capsule of STZ induced diabetic NOD.scid mice. After at least 2 weeks of normoglycecemia, lymphocytes from diabetic NOD mice were adoptively transferred and islet grafts were collected once blood glucose reached > 200 mg/dl. RNA from human donor islets, islet grafts from humanized mice with either adoptive lymphocyte transfer (ALT) or PBS control (CTL) were ribodepleted; barcoded fragment libraries were constructed and sequenced on the Ion Proton sequencer. lncRNA expression in isolated human islets, islet grafts from humanized mice with and without induced β-cell death and their regulation in human islets function in vitro under glucose challenge, cytokine mediated inflammation and induced apoptotic condition were investigated. Out of 3155 detected lncRNAs, 299 that highly expressed in islets were found to be significantly downregulated and 224 upregulated in ALT compared to CTL. Most of these are found to be collocated within 5 kb upstream and 1 kb downstream of 788 up- and 624 down-regulated mRNAs. Genomic Regions Enrichment of Annotations Analysis revealed deregulated and collocated genes are related to pancreas endocrine development; insulin synthesis, processing, and secretion; pancreatitis and diabetes. Many of them, that found to be located within enhancer domains for islet specific gene activity, are associated to the deregulation of known islet/βcell specific transcription factors and genes that are important for β-cell differentiation, identity, and function. RNA sequencing analysis revealed aberrant lncRNA expression which is associated to the deregulated mRNAs in β-cell function as well as in molecular pathways related to diabetes. A distinct set of candidate lncRNA isoforms were identified as highly enriched and specific to human islets, which are deregulated in human islets from donors with different BMIs and with type 2 diabetes. These RNAs show an interesting regulation in cultured human islets under glucose stimulation and with induced β-cell death by cytokines. Aberrant expression of these lncRNAs was detected in the exosomes from the media of islets cultured with cytokines. Results of this study suggest that the islet specific lncRNAs are deregulated in human islet with β-cell death, hence important in diabetes. These lncRNAs might be important for human β-cell function and survival thus could be used as biomarkers and novel therapeutic targets for diabetes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=%CE%B2-cell" title="β-cell">β-cell</a>, <a href="https://publications.waset.org/abstracts/search?q=humanized%20mouse" title=" humanized mouse"> humanized mouse</a>, <a href="https://publications.waset.org/abstracts/search?q=pancreatic%20islet" title=" pancreatic islet"> pancreatic islet</a>, <a href="https://publications.waset.org/abstracts/search?q=LncRNAs" title=" LncRNAs"> LncRNAs</a> </p> <a href="https://publications.waset.org/abstracts/102228/long-non-coding-rnas-mediated-regulation-of-diabetes-in-humanized-mouse" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102228.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">163</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">9</span> Analysis of Relative Gene Expression Data of GATA3-AS1 Associated with Resistance to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer Patients of Luminal B Subtype</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=X.%20Cervantes-L%C3%B3pez">X. Cervantes-López</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Arriaga-Canon"> C. Arriaga-Canon</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Contreras%20Espinosa"> L. Contreras Espinosa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The goal of this study is to validate the overexpression of the lncRNA GATA3-AS1 associated with resistance to neoadjuvant chemotherapy of female patients with locally advanced mammary adenocarcinoma of luminal B subtype This study involved a cohort of one hundred thirty-seven samples for which total RNA was isolated from formalin fixed paraffin embedded (FFPE) tissue. Samples were cut using a Microtome Hyrax M25 Zeiss and RNA was isolated using the RNeasy FFPE kit and a deparaffinization solution, the next step consisted in the analysis of RNA concentration and quality, then 18 µg of RNA was treated with DNase I, and cDNA was synthesized from 50 ng total RNA, finally real-time PCR was performed with SYBR Green/ROX qPCR Master Mix in order to determined relative gene expression using RPS28 as a housekeeping gene to normalize in a fold calculation ΔCt. As a result, we validated by real-time PCR that the overexpression of the lncRNA GATA3-AS1 is associated with resistance to neoadjuvant chemotherapy in locally advanced breast cancer patients of luminal B subtype. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarkers" title=" biomarkers"> biomarkers</a>, <a href="https://publications.waset.org/abstracts/search?q=genomics" title=" genomics"> genomics</a>, <a href="https://publications.waset.org/abstracts/search?q=neoadjuvant%20chemotherapy" title=" neoadjuvant chemotherapy"> neoadjuvant chemotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=lncRNAS" title=" lncRNAS"> lncRNAS</a> </p> <a href="https://publications.waset.org/abstracts/179322/analysis-of-relative-gene-expression-data-of-gata3-as1-associated-with-resistance-to-neoadjuvant-chemotherapy-in-locally-advanced-breast-cancer-patients-of-luminal-b-subtype" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179322.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">8</span> GATA3-AS1 lncRNA as a Predictive Biomarker for Neoadjuvant Chemotherapy Response in Locally Advanced Luminal B Breast Cancer: An RNA ISH Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tania%20Vasquez%20Mata">Tania Vasquez Mata</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%20Canon"> Cristian Arriaga Canon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Locally advanced breast cancer of the luminal B phenotype, poses challenges due to its variable response to neoadjuvant chemotherapy. A predictive biomarker is needed to identify patients who will not respond to treatment, allowing for alternative therapies. This study aims to validate the use of the lncRNA GATA3-AS1, as a predictive biomarker using RNA in situ hybridization. Research aim: The aim of this study is to determine if GATA3-AS1 can serve as a biomarker for resistance to neoadjuvant chemotherapy in patients with locally advanced luminal B breast cancer. Methodology: The study utilizes RNA in situ hybridization with predesigned probes for GATA3-AS1 on Formalin-Fixed Paraffin-Embedded tissue sections. The samples underwent pretreatment and protease treatment to enable probe penetration. Chromogenic detection and signal evaluation were performed using specific criteria. Findings: Patients who did not respond to neoadjuvant chemotherapy showed a 3+ score for GATA3-AS1, while those who had a complete response had a 1+ score. Theoretical importance: This study demonstrates the potential clinical utility of GATA3-AS1 as a biomarker for resistance to neoadjuvant chemotherapy. Identifying non-responders early on can help avoid unnecessary treatment and explore alternative therapy options. Data collection and analysis procedures: Tissue samples from patients with locally advanced luminal B breast cancer were collected and processed using RNA in situ hybridization. Signal evaluation was conducted under a microscope, and scoring was based on specific criteria. Questions addressed: Can GATA3-AS1 serve as a predictive biomarker for neoadjuvant chemotherapy response in locally advanced luminal B breast cancer? Conclusion: The lncRNA GATA3-AS1 can be used as a biomarker for resistance to neoadjuvant chemotherapy in patients with locally advanced luminal B breast cancer. Its identification through RNA in situ hybridization of tissue obtained from the initial biopsy can aid in treatment decision-making. <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=breast%20neoplasms" title=" breast neoplasms"> breast neoplasms</a>, <a href="https://publications.waset.org/abstracts/search?q=genetics" title=" genetics"> genetics</a>, <a href="https://publications.waset.org/abstracts/search?q=neoadjuvant%20therapy" title=" neoadjuvant therapy"> neoadjuvant therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=tumor" title=" tumor"> tumor</a> </p> <a href="https://publications.waset.org/abstracts/179253/gata3-as1-lncrna-as-a-predictive-biomarker-for-neoadjuvant-chemotherapy-response-in-locally-advanced-luminal-b-breast-cancer-an-rna-ish-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179253.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">57</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">7</span> LncRNA NEAT1 Promotes NSCLC Progression through Acting as a ceRNA of miR-377-3p</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chengcao%20Sun">Chengcao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Shujun%20Li"> Shujun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Cuili%20Yang"> Cuili Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongyong%20Xi"> Yongyong Xi</a>, <a href="https://publications.waset.org/abstracts/search?q=Liang%20Wang"> Liang Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Feng%20Zhang"> Feng Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dejia%20Li"> Dejia Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, the long non-coding RNA (lncRNA) NEAT1 has been identified as an oncogenic gene in multiple cancer types and elevated expression of NEAT1 was tightly linked to tumorigenesis and cancer progression. However, the molecular basis for this observation has not been characterized in progression of non-small cell lung cancer (NSCLC). In our studies, we identified NEAT1 was highly expressed in NSCLC patients and was a novel regulator of NSCLC progression. Patients whose tumors had high NEAT1 expression had a shorter overall survival than patients whose tumors had low NEAT1 expression. Further, NEAT1 significantly accelerates NSCLC cell growth and metastasis in vitro and tumor growth in vivo. Additionally, by using bioinformatics study and RNA pull down combined with luciferase reporter assays, we demonstrated that NEAT1 functioned as a competing endogenous RNA (ceRNA) for has-miR-377-3p, antagonized its functions and led to the de-repression of its endogenous targets E2F3, which was a core oncogene in promoting NSCLC progression. Taken together, these observations imply that the NEAT1 modulated the expression of E2F3 gene by acting as a competing endogenous RNA, which may build up the missing link between the regulatory miRNA network and NSCLC progression. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=long%20non-coding%20RNA%20NEAT1" title="long non-coding RNA NEAT1">long non-coding RNA NEAT1</a>, <a href="https://publications.waset.org/abstracts/search?q=hsa-miRNA-377-3p" title=" hsa-miRNA-377-3p"> hsa-miRNA-377-3p</a>, <a href="https://publications.waset.org/abstracts/search?q=E2F3" title=" E2F3"> E2F3</a>, <a href="https://publications.waset.org/abstracts/search?q=non-small%20cell%20lung%20cancer" title=" non-small cell lung cancer"> non-small cell lung cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=tumorigenesis" title=" tumorigenesis"> tumorigenesis</a> </p> <a href="https://publications.waset.org/abstracts/41377/lncrna-neat1-promotes-nsclc-progression-through-acting-as-a-cerna-of-mir-377-3p" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41377.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> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> The Regulation of the Cancer Epigenetic Landscape Lies in the Realm of the Long Non-coding RNAs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ricardo%20Alberto%20Chiong%20Zevallos">Ricardo Alberto Chiong Zevallos</a>, <a href="https://publications.waset.org/abstracts/search?q=Eduardo%20Moraes%20Rego%20Reis"> Eduardo Moraes Rego Reis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pancreatic adenocarcinoma (PDAC) patients have a less than 10% 5-year survival rate. PDAC has no defined diagnostic and prognostic biomarkers. Gemcitabine is the first-line drug in PDAC and several other cancers. Long non-coding RNAs (lncRNAs) contribute to the tumorigenesis and are potential biomarkers for PDAC. Although lncRNAs aren’t translated into proteins, they have important functions. LncRNAs can decoy or recruit proteins from the epigenetic machinery, act as microRNA sponges, participate in protein translocation through different cellular compartments, and even promote chemoresistance. The chromatin remodeling enzyme EZH2 is a histone methyltransferase that catalyzes the methylation of histone 3 at lysine 27, silencing local expression. EZH2 is ambivalent, it can also activate gene expression independently of its histone methyltransferase activity. EZH2 is overexpressed in several cancers and interacts with lncRNAs, being recruited to a specific locus. EZH2 can be recruited to activate an oncogene or silence a tumor suppressor. The lncRNAs misregulation in cancer can result in the differential recruitment of EZH2 and in a distinct epigenetic landscape, promoting chemoresistance. The relevance of the EZH2-lncRNAs interaction to chemoresistant PDAC was assessed by Real Time quantitative PCR (RT-qPCR) and RNA Immunoprecipitation (RIP) experiments with naïve and gemcitabine-resistant PDAC cells. The expression of several lncRNAs and EZH2 gene targets was evaluated contrasting naïve and resistant cells. Selection of candidate genes was made by bioinformatic analysis and literature curation. Indeed, the resistant cell line showed higher expression of chemoresistant-associated lncRNAs and protein coding genes. RIP detected lncRNAs interacting with EZH2 with varying intensity levels in the cell lines. During RIP, the nuclear fraction of the cells was incubated with an antibody for EZH2 and with magnetic beads. The RNA precipitated with the beads-antibody-EZH2 complex was isolated and reverse transcribed. The presence of candidate lncRNAs was detected by RT-qPCR, and the enrichment was calculated relative to INPUT (total lysate control sample collected before RIP). The enrichment levels varied across the several lncRNAs and cell lines. The EZH2-lncRNA interaction might be responsible for the regulation of chemoresistance-associated genes in multiple cancers. The relevance of the lncRNA-EZH2 interaction to PDAC was assessed by siRNA knockdown of a lncRNA, followed by the analysis of the EZH2 target expression by RT-qPCR. The chromatin immunoprecipitation (ChIP) of EZH2 and H3K27me3 followed by RT-qPCR with primers for EZH2 targets also assess the specificity of the EZH2 recruitment by the lncRNA. This is the first report of the interaction of EZH2 and lncRNAs HOTTIP and PVT1 in chemoresistant PDAC. HOTTIP and PVT1 were described as promoting chemoresistance in several cancers, but the role of EZH2 is not clarified. For the first time, the lncRNA LINC01133 was detected in a chemoresistant cancer. The interaction of EZH2 with LINC02577, LINC00920, LINC00941, and LINC01559 have never been reported in any context. The novel lncRNAs-EZH2 interactions regulate chemoresistant-associated genes in PDAC and might be relevant to other cancers. Therapies targeting EZH2 alone weren’t successful, and a combinatorial approach also targeting the lncRNAs interacting with it might be key to overcome chemoresistance in several cancers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=epigenetics" title="epigenetics">epigenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=chemoresistance" title=" chemoresistance"> chemoresistance</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20non-coding%20RNAs" title=" long non-coding RNAs"> long non-coding RNAs</a>, <a href="https://publications.waset.org/abstracts/search?q=pancreatic%20cancer" title=" pancreatic cancer"> pancreatic cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=histone%20modification" title=" histone modification"> histone modification</a> </p> <a href="https://publications.waset.org/abstracts/163863/the-regulation-of-the-cancer-epigenetic-landscape-lies-in-the-realm-of-the-long-non-coding-rnas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163863.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">5</span> Oncogenic Functions of Long Non-Coding RNA XIST in Human Nasopharyngeal Carcinoma by Targeting MiR-34a-5p</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng-Cao%20Sun">Cheng-Cao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Shu-Jun%20Li"> Shu-Jun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=De-Jia%20Li"> De-Jia Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Long non-coding RNA (lncRNA) X inactivate-specific transcript (XIST) has been verified as an oncogenic gene in several human malignant tumors, and its dysregulation was closed associated with tumor initiation, development and progression. Nevertheless, whether the aberrant expression of XIST in human nasopharyngeal carcinoma (NPC) is corrected with malignancy, metastasis or prognosis has not been elaborated. Here, we discovered that XIST was up-regulated in NPC tissues and higher expression of XIST contributed to a markedly poorer survival time. In addition, multivariate analysis demonstrated XIST was an independent risk factor for prognosis. XIST over-expression enhanced, while XIST silencing hampered the cell growth in NPC. Additionally, mechanistic analysis revealed that XIST up-regulated the expression of miR-34a-5p targeted gene E2F3 through acting as a competitive ‘sponge’ of miR-34a-5p. Taking all into account, we concluded that XIST functioned as an oncogene in NPC through up-regulating E2F3 in part through ‘spongeing’ miR-34a-5p. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=X%20inactivate-specific%20transcript%3B%20hsa-miRNA-34a-5p" title="X inactivate-specific transcript; hsa-miRNA-34a-5p">X inactivate-specific transcript; hsa-miRNA-34a-5p</a>, <a href="https://publications.waset.org/abstracts/search?q=miR-34a-5p%3B%20E2F3" title=" miR-34a-5p; E2F3"> miR-34a-5p; E2F3</a>, <a href="https://publications.waset.org/abstracts/search?q=nasopharyngeal%20carcinoma" title=" nasopharyngeal carcinoma"> nasopharyngeal carcinoma</a>, <a href="https://publications.waset.org/abstracts/search?q=tumorigenesis" title=" tumorigenesis"> tumorigenesis</a> </p> <a href="https://publications.waset.org/abstracts/54940/oncogenic-functions-of-long-non-coding-rna-xist-in-human-nasopharyngeal-carcinoma-by-targeting-mir-34a-5p" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54940.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">4</span> Role of Long Noncoding RNA HULC on Colorectal Carcinoma Progression through Epigenetically Repressing NKD2 Expression</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shu-Jun%20Li">Shu-Jun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Cheng-Cao%20Sun"> Cheng-Cao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=De-Jia%20Li"> De-Jia Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, long noncoding RNAs (lncRNAs) have been emerged as crucial regulators of human diseases and prognostic markers in numerous of cancers, including colorectal carcinoma (CRC). Here, we identified an oncogenetic lncRNA HULC, which may promote colorectal tumorigenesis. HULC has been found to be up-regulated and acts as oncogene in gastric cancer and hepatocellular carcinoma, but its expression pattern, biological function and underlying mechanism in CRC is still undetermined. Here, we reported that HULC expression is also over-expressed in CRC, and its increased level is associated with poor prognosis and shorter survival. Knockdown of HULC impaired CRC cells proliferation, migration and invasion, facilitated cell apoptosis in vitro, and inhibited tumorigenicity of CRC cells in vivo. Mechanistically, RNA immunoprecipitation (RIP) and RNA pull-down experiment demonstrated that HULC could simultaneously interact with EZH2 to repress underlying targets NKD2 transcription. In addition, rescue experiments determined that HULC oncogenic function is partly dependent on repressing NKD2. Taken together, our findings expound how HULC over-expression endows an oncogenic function in CRC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=long%20noncoding%20RNA" title="long noncoding RNA">long noncoding RNA</a>, <a href="https://publications.waset.org/abstracts/search?q=HULC" title=" HULC"> HULC</a>, <a href="https://publications.waset.org/abstracts/search?q=NKD2" title=" NKD2"> NKD2</a>, <a href="https://publications.waset.org/abstracts/search?q=colorectal%20carcinoma" title=" colorectal carcinoma"> colorectal carcinoma</a>, <a href="https://publications.waset.org/abstracts/search?q=proliferation" title=" proliferation"> proliferation</a>, <a href="https://publications.waset.org/abstracts/search?q=apoptosis" title=" apoptosis"> apoptosis</a> </p> <a href="https://publications.waset.org/abstracts/54941/role-of-long-noncoding-rna-hulc-on-colorectal-carcinoma-progression-through-epigenetically-repressing-nkd2-expression" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54941.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">225</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">3</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">2</span> Biophysical Features of Glioma-Derived Extracellular Vesicles as Potential Diagnostic Markers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abhimanyu%20Thakur">Abhimanyu Thakur</a>, <a href="https://publications.waset.org/abstracts/search?q=Youngjin%20Lee"> Youngjin Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Glioma is a lethal brain cancer whose early diagnosis and prognosis are limited due to the dearth of a suitable technique for its early detection. Current approaches, including magnetic resonance imaging (MRI), computed tomography (CT), and invasive biopsy for the diagnosis of this lethal disease, hold several limitations, demanding an alternative method. Recently, extracellular vesicles (EVs) have been used in numerous biomarker studies, majorly exosomes and microvesicles (MVs), which are found in most of the cells and biofluids, including blood, cerebrospinal fluid (CSF), and urine. Remarkably, glioma cells (GMs) release a high number of EVs, which are found to cross the blood-brain-barrier (BBB) and impersonate the constituents of parent GMs including protein, and lncRNA; however, biophysical properties of EVs have not been explored yet as a biomarker for glioma. We isolated EVs from cell culture conditioned medium of GMs and regular primary culture, blood, and urine of wild-type (WT)- and glioma mouse models, and characterized by nano tracking analyzer, transmission electron microscopy, immunogold-EM, and differential light scanning. Next, we measured the biophysical parameters of GMs-EVs by using atomic force microscopy. Further, the functional constituents of EVs were examined by FTIR and Raman spectroscopy. Exosomes and MVs-derived from GMs, blood, and urine showed distinction biophysical parameters (roughness, adhesion force, and stiffness) and different from that of regular primary glial cells, WT-blood, and -urine, which can be attributed to the characteristic functional constituents. Therefore, biophysical features can be potential diagnostic biomarkers for glioma. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=glioma" title="glioma">glioma</a>, <a href="https://publications.waset.org/abstracts/search?q=extracellular%20vesicles" title=" extracellular vesicles"> extracellular vesicles</a>, <a href="https://publications.waset.org/abstracts/search?q=exosomes" title=" exosomes"> exosomes</a>, <a href="https://publications.waset.org/abstracts/search?q=microvesicles" title=" microvesicles"> microvesicles</a>, <a href="https://publications.waset.org/abstracts/search?q=biophysical%20properties" title=" biophysical properties"> biophysical properties</a> </p> <a href="https://publications.waset.org/abstracts/131887/biophysical-features-of-glioma-derived-extracellular-vesicles-as-potential-diagnostic-markers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131887.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">142</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">1</span> Transcriptome Analysis for Insights into Disease Progression 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%20%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> Dengue virus infection is now considered as one of the most important mosquito-borne infection in human. The virus is known to promote vascular permeability, cerebral edema leading to Dengue hemorrhagic fever (DHF) or Dengue shock syndrome (DSS). Dengue infection has known to be endemic in India for over two centuries as a benign and self-limited disease. In the last couple of years, the disease symptoms have changed, manifesting severe secondary complication. So far, Delhi has experienced 12 outbreaks of dengue virus infection since 1997 with the last reported in 2014-15. Without specific antivirals, the case management of high-risk dengue patients entirely relies on supportive care, involving constant monitoring and timely fluid support to prevent hypovolemic shock. Nonetheless, the diverse clinical spectrum of dengue disease, as well as its initial similarity to other viral febrile illnesses, presents a challenge in the early identification of this high-risk group. WHO recommends the use of warning signs to identify high-risk patients, but warning signs generally appear during, or just one day before the development of severe illness, thus, providing only a narrow window for clinical intervention. The ability to predict which patient may develop DHF and DSS may improve the triage and treatment. With the recent discovery of high throughput RNA sequencing allows us to understand the disease progression at the genomic level. Here, we will collate the results of RNA-Sequencing data obtained recently from PBMC of different categories of dengue patients from India and will discuss the possible role of deregulated genes and long non-coding RNAs NEAT1 for development of disease progression. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=long%20non-coding%20RNA%20%28lncRNA%29" title="long non-coding RNA (lncRNA)">long non-coding RNA (lncRNA)</a>, <a href="https://publications.waset.org/abstracts/search?q=dengue" title=" dengue"> dengue</a>, <a href="https://publications.waset.org/abstracts/search?q=peripheral%20blood%20mononuclear%20cell%20%28PBMC%29" title=" peripheral blood mononuclear cell (PBMC)"> peripheral blood mononuclear cell (PBMC)</a>, <a href="https://publications.waset.org/abstracts/search?q=nuclear%20enriched%20abundant%20transcript%201%20%28NEAT1%29" title=" nuclear enriched abundant transcript 1 (NEAT1)"> nuclear enriched abundant transcript 1 (NEAT1)</a>, <a href="https://publications.waset.org/abstracts/search?q=dengue%20hemorrhagic%20fever%20%28DHF%29" title=" dengue hemorrhagic fever (DHF)"> dengue hemorrhagic fever (DHF)</a>, <a href="https://publications.waset.org/abstracts/search?q=dengue%20shock%20syndrome%20%28DSS%29" title=" dengue shock syndrome (DSS)"> dengue shock syndrome (DSS)</a> </p> <a href="https://publications.waset.org/abstracts/67553/transcriptome-analysis-for-insights-into-disease-progression-in-dengue-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67553.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">308</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul 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