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Identification of potential gene targets in systemic vasculitis using DNA microarray analysis

The present study aimed to identify the involvement of critical genes in systemic vasculitis, to gain an improved understanding of the molecular circuity and to investigate novel potential gene targets for systemic vasculitis treatment. The dual-color cDNA microarray data of GSE16945, consisting of...

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Detalles Bibliográficos
Autores principales: Feng, Yiwen, Zheng, Miao, Gan, Shujie, Zhang, Lei, Wan, Zhong, Zhang, Yanping, Qian, Qin, Tang, Jingdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436278/
https://www.ncbi.nlm.nih.gov/pubmed/28440408
http://dx.doi.org/10.3892/mmr.2017.6455
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author Feng, Yiwen
Zheng, Miao
Gan, Shujie
Zhang, Lei
Wan, Zhong
Zhang, Yanping
Qian, Qin
Tang, Jingdong
author_facet Feng, Yiwen
Zheng, Miao
Gan, Shujie
Zhang, Lei
Wan, Zhong
Zhang, Yanping
Qian, Qin
Tang, Jingdong
author_sort Feng, Yiwen
collection PubMed
description The present study aimed to identify the involvement of critical genes in systemic vasculitis, to gain an improved understanding of the molecular circuity and to investigate novel potential gene targets for systemic vasculitis treatment. The dual-color cDNA microarray data of GSE16945, consisting of peripheral mononuclear blood cell specimens from 13 patients with systemic vasculitis and 16 healthy controls, was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened in systemic vasculitis compared with controls using BRB ArrayTools, followed by the construction of a protein-protein interaction (PPI) network using the clusterProfiler package, and significant functional interaction (FI) module selection. Furthermore, transcriptional factors (TFs) among the identified DEGs were predicted and a transcriptional regulation network was constructed. A total of 173 up- and 93 downregulated genes were identified, which were mainly associated with immune response pathways. FBJ murine osteosarcoma viral oncogene homolog (FOS), ubiquitin B (UBB), signal transducer and activator of transcription 1 (STAT1) and MX dynamin-like GTPase 1 (MX1) were identified as hub proteins in the PPI network. Furthermore, UBB, FOS, and STAT1 were hub proteins in the three identified FI modules, respectively. In total, nine TFs were predicted among the DEGs. Of the DEGs that were predicted to be TFs, STAT1, v-maf avian musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein Z (YWHAZ), which interacted with each other, were identified to regulate further DEGs as target genes. Various genes, including FOS, UBB, MX1, STAT1, MAFB, and YWHAZ may be potential targets useful for the treatment of systemic vasculitis.
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spelling pubmed-54362782017-05-19 Identification of potential gene targets in systemic vasculitis using DNA microarray analysis Feng, Yiwen Zheng, Miao Gan, Shujie Zhang, Lei Wan, Zhong Zhang, Yanping Qian, Qin Tang, Jingdong Mol Med Rep Articles The present study aimed to identify the involvement of critical genes in systemic vasculitis, to gain an improved understanding of the molecular circuity and to investigate novel potential gene targets for systemic vasculitis treatment. The dual-color cDNA microarray data of GSE16945, consisting of peripheral mononuclear blood cell specimens from 13 patients with systemic vasculitis and 16 healthy controls, was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened in systemic vasculitis compared with controls using BRB ArrayTools, followed by the construction of a protein-protein interaction (PPI) network using the clusterProfiler package, and significant functional interaction (FI) module selection. Furthermore, transcriptional factors (TFs) among the identified DEGs were predicted and a transcriptional regulation network was constructed. A total of 173 up- and 93 downregulated genes were identified, which were mainly associated with immune response pathways. FBJ murine osteosarcoma viral oncogene homolog (FOS), ubiquitin B (UBB), signal transducer and activator of transcription 1 (STAT1) and MX dynamin-like GTPase 1 (MX1) were identified as hub proteins in the PPI network. Furthermore, UBB, FOS, and STAT1 were hub proteins in the three identified FI modules, respectively. In total, nine TFs were predicted among the DEGs. Of the DEGs that were predicted to be TFs, STAT1, v-maf avian musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein Z (YWHAZ), which interacted with each other, were identified to regulate further DEGs as target genes. Various genes, including FOS, UBB, MX1, STAT1, MAFB, and YWHAZ may be potential targets useful for the treatment of systemic vasculitis. D.A. Spandidos 2017-06 2017-04-11 /pmc/articles/PMC5436278/ /pubmed/28440408 http://dx.doi.org/10.3892/mmr.2017.6455 Text en Copyright: © Feng 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
Feng, Yiwen
Zheng, Miao
Gan, Shujie
Zhang, Lei
Wan, Zhong
Zhang, Yanping
Qian, Qin
Tang, Jingdong
Identification of potential gene targets in systemic vasculitis using DNA microarray analysis
title Identification of potential gene targets in systemic vasculitis using DNA microarray analysis
title_full Identification of potential gene targets in systemic vasculitis using DNA microarray analysis
title_fullStr Identification of potential gene targets in systemic vasculitis using DNA microarray analysis
title_full_unstemmed Identification of potential gene targets in systemic vasculitis using DNA microarray analysis
title_short Identification of potential gene targets in systemic vasculitis using DNA microarray analysis
title_sort identification of potential gene targets in systemic vasculitis using dna microarray analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436278/
https://www.ncbi.nlm.nih.gov/pubmed/28440408
http://dx.doi.org/10.3892/mmr.2017.6455
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