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Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus
BACKGROUND: Hidradenitis suppurativa (HS) is a chronic, follicular, and inflammatory skin disease with multifactorial pathogenesis, and its definite molecule mechanism is still not fully elucidated. OBJECTIVE: The purpose of this research was to identify crucial differentially expressed genes (DEGs)...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383683/ https://www.ncbi.nlm.nih.gov/pubmed/32782449 http://dx.doi.org/10.1177/1559325820942646 |
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author | Teng, Yan Tao, Xiaohua Lu, Wei Huang, Youming Xu, Danfeng Li, Meng Fan, Yibin |
author_facet | Teng, Yan Tao, Xiaohua Lu, Wei Huang, Youming Xu, Danfeng Li, Meng Fan, Yibin |
author_sort | Teng, Yan |
collection | PubMed |
description | BACKGROUND: Hidradenitis suppurativa (HS) is a chronic, follicular, and inflammatory skin disease with multifactorial pathogenesis, and its definite molecule mechanism is still not fully elucidated. OBJECTIVE: The purpose of this research was to identify crucial differentially expressed genes (DEGs) and biological processes and pathways involved in HS through bioinformatics analysis. METHODS: A total of 30 tissues from patients with HS, 17 lesional and 13 healthy, were obtained from the GSE72702 data set of the Gene Expression Omnibus database. The DEGs were sorted by GEO2R and analyzed by Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis. MCODE analysis was visualized using Cytoscape. RESULTS: Of the 723 identified DEGs, 364 were upregulated and 359 were downregulated. Upregulated DEGs were significantly enriched in immune response, inflammatory response, tumor necrosis factor signaling pathway, and so on and downregulated DEGs were enriched in the positive regulation of the peroxisome proliferators-activated receptor pathways, the regulation of lipolysis in adipocytes, and so on. The most significant DEGs group of 35 genes were screened. CONCLUSION: The internal biological information in HS can be revealed by bioinformatic methods, providing direction for further research and potential therapeutic targets. |
format | Online Article Text |
id | pubmed-7383683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73836832020-08-10 Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus Teng, Yan Tao, Xiaohua Lu, Wei Huang, Youming Xu, Danfeng Li, Meng Fan, Yibin Dose Response Non-coding RNA: An Emerging Player for Dose-Response Research BACKGROUND: Hidradenitis suppurativa (HS) is a chronic, follicular, and inflammatory skin disease with multifactorial pathogenesis, and its definite molecule mechanism is still not fully elucidated. OBJECTIVE: The purpose of this research was to identify crucial differentially expressed genes (DEGs) and biological processes and pathways involved in HS through bioinformatics analysis. METHODS: A total of 30 tissues from patients with HS, 17 lesional and 13 healthy, were obtained from the GSE72702 data set of the Gene Expression Omnibus database. The DEGs were sorted by GEO2R and analyzed by Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis. MCODE analysis was visualized using Cytoscape. RESULTS: Of the 723 identified DEGs, 364 were upregulated and 359 were downregulated. Upregulated DEGs were significantly enriched in immune response, inflammatory response, tumor necrosis factor signaling pathway, and so on and downregulated DEGs were enriched in the positive regulation of the peroxisome proliferators-activated receptor pathways, the regulation of lipolysis in adipocytes, and so on. The most significant DEGs group of 35 genes were screened. CONCLUSION: The internal biological information in HS can be revealed by bioinformatic methods, providing direction for further research and potential therapeutic targets. SAGE Publications 2020-07-24 /pmc/articles/PMC7383683/ /pubmed/32782449 http://dx.doi.org/10.1177/1559325820942646 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Non-coding RNA: An Emerging Player for Dose-Response Research Teng, Yan Tao, Xiaohua Lu, Wei Huang, Youming Xu, Danfeng Li, Meng Fan, Yibin Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus |
title | Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus |
title_full | Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus |
title_fullStr | Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus |
title_full_unstemmed | Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus |
title_short | Identification of Hidradenitis Suppurativa-Related mRNA Expression Patterns Through Analysis of Gene Expression Omnibus |
title_sort | identification of hidradenitis suppurativa-related mrna expression patterns through analysis of gene expression omnibus |
topic | Non-coding RNA: An Emerging Player for Dose-Response Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383683/ https://www.ncbi.nlm.nih.gov/pubmed/32782449 http://dx.doi.org/10.1177/1559325820942646 |
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