Network analysis of long non-coding RNA expression profiles in common warts

被引:1
|
作者
Tarkhan, Amneh H. [1 ]
AL-Eitan, Laith N. [1 ]
Alkhatib, Rami Q. [1 ]
Alghamdi, Mansour A. [2 ,3 ]
机构
[1] Jordan Univ Sci & Technol, Coll Sci & Arts, Dept Biotechnol & Genet Engn, Irbid 22110, Jordan
[2] King Khalid Univ, Coll Med, Dept Anat, Abha 61421, Saudi Arabia
[3] King Khalid Univ, Coll Med, Genom & Personalized Med Unit, Abha 61421, Saudi Arabia
关键词
Warts; Human papillomavirus; lncRNA; CERNA2; LINC02159; SH3PXD2A-AS1; UNC5B-AS1; MIRNA-TARGET INTERACTIONS; WEB-BASED TOOL; CERVICAL-CANCER; HUMAN-PAPILLOMAVIRUS; MESENCHYMAL TRANSITION; GENE-EXPRESSION; CUTANEOUS WARTS; DOWN-REGULATION; POOR-PROGNOSIS; LNCRNA MALAT1;
D O I
10.1016/j.heliyon.2022.e11790
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Long non-coding RNAs (lncRNAs) have been the subject of considerable attention in recent years due to their role in gene regulation. However, the function of lncRNAs remains poorly understood, especially in the context of infection with low-risk human papillomaviruses (HPVs). To further understanding on this issue, we investigated lncRNA expression in HPV-induced common warts.Methods: A publicly available high-throughput sequencing dataset for common warts was downloaded from the Gene Expression Omnibus (GEO). lncRNA profiles were generated using the NetworkAnalyst 3.0 workflow, and a list of differentially expressed (DE) lncRNAs in common warts was identified and inputted into the ENCODE, RegNetwork, DisGeNet, and miRNet platforms.Results: A total of 54 lncRNAs were revealed to be significantly dysregulated in common warts. Of these 54 lncRNAs, 24 and 30 were upregulated and downregulated, respectively. The most significantly differentially expressed lncRNAs in common warts included the CERNA2, LINC02159, SH3PXD2A-AS1, and UNC5B-AS1 genes. Conclusion: The current findings suggest that HPV-induced warts impact the host lncRNA transcriptome. To the best of our knowledge, the present study is the first to explore the impact of low-risk HPV infection on lncRNA expression profiles.
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页数:11
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