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Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis

Discoid lupus erythematosus (DLE) is the most common skin manifestation of lupus; however, the molecular mechanisms underlying DLE remain unknown. Therefore, we aimed to identify key differentially expressed genes (DEGs) in discoid lupus skin and investigate their potential pathways. To identify can...

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Autores principales: Dong, Qian, Chen, Kang, Xie, Jinye, Han, Hui, Feng, Yanping, Lu, Jianqiang, Wang, Weijia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078291/
https://www.ncbi.nlm.nih.gov/pubmed/33879674
http://dx.doi.org/10.1097/MD.0000000000025433
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author Dong, Qian
Chen, Kang
Xie, Jinye
Han, Hui
Feng, Yanping
Lu, Jianqiang
Wang, Weijia
author_facet Dong, Qian
Chen, Kang
Xie, Jinye
Han, Hui
Feng, Yanping
Lu, Jianqiang
Wang, Weijia
author_sort Dong, Qian
collection PubMed
description Discoid lupus erythematosus (DLE) is the most common skin manifestation of lupus; however, the molecular mechanisms underlying DLE remain unknown. Therefore, we aimed to identify key differentially expressed genes (DEGs) in discoid lupus skin and investigate their potential pathways. To identify candidate genes involved in the occurrence and development of the disease, we downloaded the microarray datasets GSE52471 and GSE72535 from the Gene Expression Database (GEO). DEGs between discoid lupus skin and normal controls were selected using the GEO2R tool and Venn diagram software (http://bioinformatics.psb.ugent.be/webtools/Venn/). The Database for Annotation, Visualization, and Integrated Discovery (DAVID), Enrichr, and Cytoscape ClueGo were used to analyze the Kyoto Encyclopedia of Gene and Genome pathways and gene ontology. Protein-protein interactions (PPIs) of these DEGs were further assessed using the Search Tool for the Retrieval Interacting Genes version 10.0. Seventy three DEGs were co-expressed in both datasets. DEGs were predominantly upregulated in receptor signaling pathways of the immune response. In the PPI network, 69 upregulated genes were selected. Furthermore, 4 genes (CXCL10, ISG15, IFIH1, and IRF7) were found to be significantly upregulated in the RIG-I-like receptor signaling pathway, from analysis of Enrichr and Cytoscape ClueGo. The results of this study may provide new insights into the potential molecular mechanisms of DLE. However, further experimentation is required to confirm these findings.
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spelling pubmed-80782912021-04-27 Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis Dong, Qian Chen, Kang Xie, Jinye Han, Hui Feng, Yanping Lu, Jianqiang Wang, Weijia Medicine (Baltimore) 6900 Discoid lupus erythematosus (DLE) is the most common skin manifestation of lupus; however, the molecular mechanisms underlying DLE remain unknown. Therefore, we aimed to identify key differentially expressed genes (DEGs) in discoid lupus skin and investigate their potential pathways. To identify candidate genes involved in the occurrence and development of the disease, we downloaded the microarray datasets GSE52471 and GSE72535 from the Gene Expression Database (GEO). DEGs between discoid lupus skin and normal controls were selected using the GEO2R tool and Venn diagram software (http://bioinformatics.psb.ugent.be/webtools/Venn/). The Database for Annotation, Visualization, and Integrated Discovery (DAVID), Enrichr, and Cytoscape ClueGo were used to analyze the Kyoto Encyclopedia of Gene and Genome pathways and gene ontology. Protein-protein interactions (PPIs) of these DEGs were further assessed using the Search Tool for the Retrieval Interacting Genes version 10.0. Seventy three DEGs were co-expressed in both datasets. DEGs were predominantly upregulated in receptor signaling pathways of the immune response. In the PPI network, 69 upregulated genes were selected. Furthermore, 4 genes (CXCL10, ISG15, IFIH1, and IRF7) were found to be significantly upregulated in the RIG-I-like receptor signaling pathway, from analysis of Enrichr and Cytoscape ClueGo. The results of this study may provide new insights into the potential molecular mechanisms of DLE. However, further experimentation is required to confirm these findings. Lippincott Williams & Wilkins 2021-04-23 /pmc/articles/PMC8078291/ /pubmed/33879674 http://dx.doi.org/10.1097/MD.0000000000025433 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 6900
Dong, Qian
Chen, Kang
Xie, Jinye
Han, Hui
Feng, Yanping
Lu, Jianqiang
Wang, Weijia
Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
title Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
title_full Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
title_fullStr Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
title_full_unstemmed Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
title_short Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
title_sort identification of key genes and pathways in discoid lupus skin via bioinformatics analysis
topic 6900
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078291/
https://www.ncbi.nlm.nih.gov/pubmed/33879674
http://dx.doi.org/10.1097/MD.0000000000025433
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