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Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis
Dendritic cells (DCs) serve crucial roles in the activation of the immune response, and imbalance in the activation or inhibition of DCs has been associated with an increased susceptibility to develop immune-induced diseases. However, the molecular mechanisms of regulating immune-induced diseases of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983944/ https://www.ncbi.nlm.nih.gov/pubmed/29620200 http://dx.doi.org/10.3892/mmr.2018.8834 |
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author | Zheng, Yang Zheng, Xianghui Li, Shuang Zhang, Hanlu Liu, Mingyang Yang, Qingyuan Zhang, Maomao Sun, Yong Wu, Jian Yu, Bo |
author_facet | Zheng, Yang Zheng, Xianghui Li, Shuang Zhang, Hanlu Liu, Mingyang Yang, Qingyuan Zhang, Maomao Sun, Yong Wu, Jian Yu, Bo |
author_sort | Zheng, Yang |
collection | PubMed |
description | Dendritic cells (DCs) serve crucial roles in the activation of the immune response, and imbalance in the activation or inhibition of DCs has been associated with an increased susceptibility to develop immune-induced diseases. However, the molecular mechanisms of regulating immune-induced diseases of DCs are not well understood. The aim of the present study was to identify the gene signatures and uncover the potential regulatory mechanisms in DCs. A total of 4 gene expression profiles (GSE52894, GSE72893, GSE75938 and GSE77969) were integrated and analyzed in depth. In total, 241 upregulated genes and 365 downregulated genes were detected. Gene ontology and pathway enrichment analysis showed that the differentially expressed genes (DEGs) were significantly enriched in the inflammatory response, the tumor necrosis factor (TNF) signaling pathway, the nuclear factor (NF)-κB signaling pathway and antigen processing. The top 10 hub genes were identified from the protein-protein analysis. The most significant 2 modules were filtered from the protein-protein network. The genes in 2 modules were involved in type I interferon signaling, the NF-κB signaling pathway and the TNF signaling pathway. Furthermore, the microRNA-mRNA network analysis was performed. The results of the present study revealed that the identified DEGs and pathways may improve our understanding of the mechanisms of the maturation of DCs, and the candidate hub genes that may be therapeutic targets for immune-induced diseases. |
format | Online Article Text |
id | pubmed-5983944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-59839442018-06-04 Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis Zheng, Yang Zheng, Xianghui Li, Shuang Zhang, Hanlu Liu, Mingyang Yang, Qingyuan Zhang, Maomao Sun, Yong Wu, Jian Yu, Bo Mol Med Rep Articles Dendritic cells (DCs) serve crucial roles in the activation of the immune response, and imbalance in the activation or inhibition of DCs has been associated with an increased susceptibility to develop immune-induced diseases. However, the molecular mechanisms of regulating immune-induced diseases of DCs are not well understood. The aim of the present study was to identify the gene signatures and uncover the potential regulatory mechanisms in DCs. A total of 4 gene expression profiles (GSE52894, GSE72893, GSE75938 and GSE77969) were integrated and analyzed in depth. In total, 241 upregulated genes and 365 downregulated genes were detected. Gene ontology and pathway enrichment analysis showed that the differentially expressed genes (DEGs) were significantly enriched in the inflammatory response, the tumor necrosis factor (TNF) signaling pathway, the nuclear factor (NF)-κB signaling pathway and antigen processing. The top 10 hub genes were identified from the protein-protein analysis. The most significant 2 modules were filtered from the protein-protein network. The genes in 2 modules were involved in type I interferon signaling, the NF-κB signaling pathway and the TNF signaling pathway. Furthermore, the microRNA-mRNA network analysis was performed. The results of the present study revealed that the identified DEGs and pathways may improve our understanding of the mechanisms of the maturation of DCs, and the candidate hub genes that may be therapeutic targets for immune-induced diseases. D.A. Spandidos 2018-06 2018-03-29 /pmc/articles/PMC5983944/ /pubmed/29620200 http://dx.doi.org/10.3892/mmr.2018.8834 Text en Copyright: © Zheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Zheng, Yang Zheng, Xianghui Li, Shuang Zhang, Hanlu Liu, Mingyang Yang, Qingyuan Zhang, Maomao Sun, Yong Wu, Jian Yu, Bo Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis |
title | Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis |
title_full | Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis |
title_fullStr | Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis |
title_full_unstemmed | Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis |
title_short | Identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis |
title_sort | identification of key genes and pathways in regulating immune-induced diseases of dendritic cells by bioinformatic analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983944/ https://www.ncbi.nlm.nih.gov/pubmed/29620200 http://dx.doi.org/10.3892/mmr.2018.8834 |
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