Literature DB >> 28626165

Identification and Functional Profiling of Differentially Expressed Long Non-Coding RNAs in Nasal Mucosa with Allergic Rhinitis.

Zhiqi Ma1, Yaoshu Teng1, Xiang Liu1, Jing Li1, Jiangwei Mo1, Min Sha1, Yong Li1.   

Abstract

Long non-coding RNAs (lncRNAs) have been proved to play important roles in a variety of human immune diseases. However, their pathological effects on the development of allergic rhinitis (AR) have not been clearly understood. The aim of this study was to determine the expression profile of lncRNAs in nasal mucosa of AR patients by lncRNA microarray and to predict potential roles of specific lncRNAs in the pathogenic mechanisms of AR by analysis of lncRNA-mRNA co-expression network, Gene Ontology (GO) and pathway. The lncRNA microarray analysis showed that a total of 2,259 lncRNAs (1,033 up-regulated and 1,226 down-regulated) and 704 mRNAs (157 up-regulated and 547 down-regulated) were significantly differentially expressed in the nasal mucosa samples from 4 AR patients as compared to those from 4 non-allergic subjects (fold change > 2; P < 0.05). In addition, the lncRNA-mRNA co-expression network contained 143 network nodes including 76 lncRNAs and 67 mRNAs, in which 117 significant correlation pairs presented as positive, and 108 pairs presented as negative. The results from GO and pathway analysis indicated that the lncRNAs-coexpressed mRNAs were enriched in several biological processes and cellular signaling pathways related to AR development, such as positive regulation of interleukin-13 secretion, Fc epsilon RI signaling pathway and NF-kappa B signaling pathway. To summary, our study provides important information on the molecular mechanisms and biological functions of these AR-related lncRNAs, which could be utilized for developing novel therapeutic strategies for AR.

Entities:  

Keywords:  allergic rhinitis; bioinformatics; expression profile; long non-coding RNA; microarray

Mesh:

Substances:

Year:  2017        PMID: 28626165     DOI: 10.1620/tjem.242.143

Source DB:  PubMed          Journal:  Tohoku J Exp Med        ISSN: 0040-8727            Impact factor:   1.848


  9 in total

1.  Long Noncoding RNA Linc00632 Inhibits Interleukin-13-Induced Inflammatory Cytokine and Mucus Production in Nasal Epithelial Cells.

Authors:  Liyan Yue; Xiaoyan Yin; Fang Hao; Jinhui Dong; Xiumin Ren; Ou Xu; Chunguang Shan
Journal:  J Innate Immun       Date:  2019-07-17       Impact factor: 7.349

2.  Long non-coding RNA antisense non-coding RNA in the INK4 locus expression correlates with increased disease risk, severity, and inflammation of allergic rhinitis.

Authors:  Xiaoqiong Qian; Song Shi; Guijuan Zhang
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

3.  Knockdown of lncRNA ANRIL suppresses the production of inflammatory cytokines and mucin 5AC in nasal epithelial cells via the miR-15a-5p/JAK2 axis.

Authors:  Huo-Wang Liu; Zhong-Liang Hu; Hao Li; Qi-Feng Tan; Jing Tong; Yong-Quan Zhang
Journal:  Mol Med Rep       Date:  2020-12-16       Impact factor: 2.952

4.  Genome-wide analysis of long noncoding RNA expression profile in nasal mucosa with allergic rhinitis.

Authors:  Xian Wei; Man Xu; Chao Wang; Shengjian Fang; Yu Zhang; Weihua Wang
Journal:  BMC Med Genomics       Date:  2021-04-09       Impact factor: 3.063

5.  LncRNA HCP5 Participates in the Tregs Functions in Allergic Rhinitis and Drives Airway Mucosal Inflammatory Response in the Nasal Epithelial Cells.

Authors:  Chen Yang; Chengfang Shangguan; Changing Cai; Jing Xu; Xiaohua Qian
Journal:  Inflammation       Date:  2022-02-05       Impact factor: 4.657

Review 6.  The Role of Noncoding RNA in Airway Allergic Diseases through Regulation of T Cell Subsets.

Authors:  Shenghao Cheng; Qingping Tang; Shaobing Xie; Sihui Wen; Hua Zhang; Zhihai Xie; Weihong Jiang
Journal:  Mediators Inflamm       Date:  2022-10-04       Impact factor: 4.529

7.  Bioinformatics Analysis and Identification of Underlying Biomarkers Potentially Linking Allergic Rhinitis and Asthma.

Authors:  Zhanfeng Yan; Lili Liu; Lulu Jiao; Xiaohui Wen; Jianhua Liu; Ningyu Wang
Journal:  Med Sci Monit       Date:  2020-05-27

8.  Identification of Susceptibility Genes to Allergic Rhinitis by Gene Expression Data Sets.

Authors:  Kai Xue; Jingpu Yang; Yin Zhao; Jinzhang Cheng; Zonggui Wang
Journal:  Clin Transl Sci       Date:  2019-12-03       Impact factor: 4.689

9.  CircRNA expression profiles and circRNA-miRNA-mRNA crosstalk in allergic rhinitis.

Authors:  Chang-Yu Qiu; Xin-Yan Cui; Mei-Ping Lu; Min Yin; Wan-Yun Xu; Xin-Jie Zhu; Qing Yang; Lei Cheng
Journal:  World Allergy Organ J       Date:  2021-06-18       Impact factor: 4.084

  9 in total

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