Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea

Joint Authors

Li, Yanmei
Hao, Dan
Wang, Yujia
Jiang, Xian
Wang, Lian
Lu, Ruifeng
Wang, Xiaoyun
Wen, Xiang
Zeng, Minghui

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-02-24

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine

Abstract EN

Rosacea is a chronic and relapsing inflammatory cutaneous disorder with highly variable prevalence worldwide that adversely affects the health of patients and their quality of life.

However, the molecular characterization of each rosacea subtype is still unclear.

Furthermore, little is known about the role of long noncoding RNAs (lncRNAs) in the pathogenesis or regulatory processes of this disorder.

In the current study, we established lncRNA-mRNA coexpression networks for three rosacea subtypes (erythematotelangiectatic, papulopustular, and phymatous) and performed their functional enrichment analyses using Gene Onotology, KEGG, GSEA, and WGCNA.

Compared to the control group, 13 differentially expressed lncRNAs and 525 differentially expressed mRNAs were identified in the three rosacea subtypes.

The differentially expressed genes identified were enriched in four signaling pathways and the GO terms found were associated with leukocyte migration.

In addition, we found nine differentially expressed lncRNAs in all three rosacea subtype-related networks, including NEAT1 and HOTAIR, which may play important roles in the pathology of rosacea.

Our study provided novel insights into lncRNA-mRNA coexpression networks to discover the molecular mechanisms involved in rosacea development that can be used as future targets of rosacea diagnosis, prevention, and treatment.

American Psychological Association (APA)

Wang, Lian& Lu, Ruifeng& Wang, Yujia& Wang, Xiaoyun& Hao, Dan& Wen, Xiang…[et al.]. 2020. Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea. BioMed Research International،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1138241

Modern Language Association (MLA)

Wang, Lian…[et al.]. Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea. BioMed Research International No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1138241

American Medical Association (AMA)

Wang, Lian& Lu, Ruifeng& Wang, Yujia& Wang, Xiaoyun& Hao, Dan& Wen, Xiang…[et al.]. Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1138241

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1138241