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      Systematic analysis of transcriptomic profiles of COPD airway epithelium using next-generation sequencing and bioinformatics

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          Abstract

          Introduction

          COPD is a chronic inflammatory disease of lung. The inflammatory response in COPD is associated with neutrophils, macrophages, T lymphocytes, and bronchial epithelial cells, and occurs mainly in the small airway, leading to irreversible airflow limitation.

          Methods

          In order to investigate the microRNA–mRNA interaction in the microenvironment of the COPD airway, we used next-generation sequencing and bioinformatics in this study.

          Results

          We identified four genes with microRNA–mRNA interactions involved in COPD small-airway bronchial epithelial cells: NT5E, SDK1, TNS1, and PCDH7. Furthermore, miR6511a-5p– NT5E interaction was found to be involved in small-airway bronchial epithelial cells, large-airway bronchial epithelial cells, and alveolar macrophages.

          Conclusion

          Our results showed that miR6511a-5p– NT5E interaction plays an important role in COPD, which might be associated with cell–cell contact, activation of leukocytes, activation of T lymphocytes, and cellular homeostasis. These findings provide new information for further investigations of the COPD microenvironment, and may help to develop new diagnostic or therapeutic strategies targeting the bronchial epithelium for COPD.

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          Most cited references 27

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          miRDB: an online resource for microRNA target prediction and functional annotations

           Nathan C. Wong,  Xiaowei Wang (2014)
          MicroRNAs (miRNAs) are small non-coding RNAs that are extensively involved in many physiological and disease processes. One major challenge in miRNA studies is the identification of genes regulated by miRNAs. To this end, we have developed an online resource, miRDB (http://mirdb.org), for miRNA target prediction and functional annotations. Here, we describe recently updated features of miRDB, including 2.1 million predicted gene targets regulated by 6709 miRNAs. In addition to presenting precompiled prediction data, a new feature is the web server interface that allows submission of user-provided sequences for miRNA target prediction. In this way, users have the flexibility to study any custom miRNAs or target genes of interest. Another major update of miRDB is related to functional miRNA annotations. Although thousands of miRNAs have been identified, many of the reported miRNAs are not likely to play active functional roles or may even have been falsely identified as miRNAs from high-throughput studies. To address this issue, we have performed combined computational analyses and literature mining, and identified 568 and 452 functional miRNAs in humans and mice, respectively. These miRNAs, as well as associated functional annotations, are presented in the FuncMir Collection in miRDB.
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            The Gene Expression Omnibus Database.

             Emily Clough,  Tanya Barrett (2016)
            The Gene Expression Omnibus (GEO) database is an international public repository that archives and freely distributes high-throughput gene expression and other functional genomics data sets. Created in 2000 as a worldwide resource for gene expression studies, GEO has evolved with rapidly changing technologies and now accepts high-throughput data for many other data applications, including those that examine genome methylation, chromatin structure, and genome-protein interactions. GEO supports community-derived reporting standards that specify provision of several critical study elements including raw data, processed data, and descriptive metadata. The database not only provides access to data for tens of thousands of studies, but also offers various Web-based tools and strategies that enable users to locate data relevant to their specific interests, as well as to visualize and analyze the data. This chapter includes detailed descriptions of methods to query and download GEO data and use the analysis and visualization tools. The GEO homepage is at http://www.ncbi.nlm.nih.gov/geo/.
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              Immunologic aspects of chronic obstructive pulmonary disease.

               Marina Saetta,  Francisco G. Cosio,  Àlvar Agustí (2009)
              Article 0 comments Cited 176 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Int J Chron Obstruct Pulmon Dis
                Journal ID (iso-abbrev): Int J Chron Obstruct Pulmon Dis
                Journal ID (publisher-id): International Journal of COPD
                Title: International Journal of Chronic Obstructive Pulmonary Disease
                Publisher: Dove Medical Press
                ISSN (Print): 1176-9106
                ISSN (Electronic): 1178-2005
                Publication date Collection: 2018
                Publication date (Electronic): 10 August 2018
                Volume: 13
                Pages: 2387-2398
                Affiliations
                [1 ]Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, sheucc@ 123456gmail.com
                [2 ]Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, sheucc@ 123456gmail.com
                [3 ]Department of Internal Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, sheucc@ 123456gmail.com
                [4 ]Department of Respiratory Therapy, School of Medicine, College of Medicine, Kaohsiung Medical University, sheucc@ 123456gmail.com
                [5 ]Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan
                Author notes
                Correspondence: Chau-Chyun Sheu, Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, 100 Tzyou First Road, Kaohsiung 807, Taiwan, Tel +88 67 312 1101 ext 5901, Fax +88 67 316 1210, Email sheucc@ 123456gmail.com
                Article
                Publisher ID: copd-13-2387
                DOI: 10.2147/COPD.S173206
                PMC ID: 6089098
                Copyright statement: © 2018 Chang et al. This work is published and licensed by Dove Medical Press Limited
                License:

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                Categories
                Subject: Original Research

                Data availability:

                ScienceOpen disciplines: Respiratory medicine

                Keywords: next-generation sequencing, nt5e, epithelium, mir6511a-5p, bioinformatics, copd

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