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Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis
BACKGROUND: Atopic dermatitis (AD) is recognized as a common inflammatory skin disease and frequently occurred in Asian and Black individuals. OBJECTIVE: Since the limitation of dataset associated with human severe AD, this study aimed to screen potential novel biomarkers involved in mild AD. METHOD...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Dermatological Association; The Korean Society for Investigative Dermatology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992548/ https://www.ncbi.nlm.nih.gov/pubmed/33911724 http://dx.doi.org/10.5021/ad.2020.32.2.130 |
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author | Yin, Huibin Wang, Shangshang Gu, Chaoying |
author_facet | Yin, Huibin Wang, Shangshang Gu, Chaoying |
author_sort | Yin, Huibin |
collection | PubMed |
description | BACKGROUND: Atopic dermatitis (AD) is recognized as a common inflammatory skin disease and frequently occurred in Asian and Black individuals. OBJECTIVE: Since the limitation of dataset associated with human severe AD, this study aimed to screen potential novel biomarkers involved in mild AD. METHODS: Expression profile data (GSE75890) were obtained from the database of Gene Expression Omnibus. Using limma package, the differentially expressed genes (DEGs) between samples from AD and healthy control were selected. Furthermore, function analysis was conducted. Meanwhile, the protein-protein interaction (PPI) network and transcription factor (TF)-miRNA-target regulatory network were constructed. And quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the expressions patterns of key genes. RESULTS: In total, 285 DEGs including 214 upregulated and 71 downregulated genes were identified between samples from two groups. The upregulated DEGs were mainly involved in nine pathways, such as hematopoietic cell lineage, pertussis, p53 signaling pathway, staphylococcus aureus infection, and cell cycle, while tight junction was the only pathway enriched by the downregulated DEGs. Cyclin B (CCNB)1, CCNB2, cyclin A (CCNA)2, C-X-C motif chemokine ligand (CXCL)10, and CXCL9 were key nodes in PPI network. The TF-miRNA-target gene regulatory network focused on miRNAs such as miR-106b, miR-106a, and miR-17, TFs such as nuclear factor kappa B subunit 1, RELA proto-oncogene, Sp1 transcription factor, and genes such as matrix metallopeptidase 9, peroxisome proliferator activated receptor gamma , and serpin family E member 1. Moreover, the upregulation of these genes, including CCNB1, CCNB2, CCNA2, CXCL10, and CXCL9 were confirmed by qRT-PCR. CONCLUSION: CCNB1, CCNB2, CCNA2, and CXCL9 might be novel markers of mild AD. miR-106b and miR-17 may involve in regulation of immune response in AD patients. |
format | Online Article Text |
id | pubmed-7992548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Dermatological Association; The Korean Society for Investigative Dermatology |
record_format | MEDLINE/PubMed |
spelling | pubmed-79925482021-04-27 Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis Yin, Huibin Wang, Shangshang Gu, Chaoying Ann Dermatol Original Article BACKGROUND: Atopic dermatitis (AD) is recognized as a common inflammatory skin disease and frequently occurred in Asian and Black individuals. OBJECTIVE: Since the limitation of dataset associated with human severe AD, this study aimed to screen potential novel biomarkers involved in mild AD. METHODS: Expression profile data (GSE75890) were obtained from the database of Gene Expression Omnibus. Using limma package, the differentially expressed genes (DEGs) between samples from AD and healthy control were selected. Furthermore, function analysis was conducted. Meanwhile, the protein-protein interaction (PPI) network and transcription factor (TF)-miRNA-target regulatory network were constructed. And quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the expressions patterns of key genes. RESULTS: In total, 285 DEGs including 214 upregulated and 71 downregulated genes were identified between samples from two groups. The upregulated DEGs were mainly involved in nine pathways, such as hematopoietic cell lineage, pertussis, p53 signaling pathway, staphylococcus aureus infection, and cell cycle, while tight junction was the only pathway enriched by the downregulated DEGs. Cyclin B (CCNB)1, CCNB2, cyclin A (CCNA)2, C-X-C motif chemokine ligand (CXCL)10, and CXCL9 were key nodes in PPI network. The TF-miRNA-target gene regulatory network focused on miRNAs such as miR-106b, miR-106a, and miR-17, TFs such as nuclear factor kappa B subunit 1, RELA proto-oncogene, Sp1 transcription factor, and genes such as matrix metallopeptidase 9, peroxisome proliferator activated receptor gamma , and serpin family E member 1. Moreover, the upregulation of these genes, including CCNB1, CCNB2, CCNA2, CXCL10, and CXCL9 were confirmed by qRT-PCR. CONCLUSION: CCNB1, CCNB2, CCNA2, and CXCL9 might be novel markers of mild AD. miR-106b and miR-17 may involve in regulation of immune response in AD patients. The Korean Dermatological Association; The Korean Society for Investigative Dermatology 2020-04 2020-03-11 /pmc/articles/PMC7992548/ /pubmed/33911724 http://dx.doi.org/10.5021/ad.2020.32.2.130 Text en Copyright © 2020 The Korean Dermatological Association and The Korean Society for Investigative Dermatology http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Yin, Huibin Wang, Shangshang Gu, Chaoying Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis |
title | Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis |
title_full | Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis |
title_fullStr | Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis |
title_full_unstemmed | Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis |
title_short | Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis |
title_sort | identification of molecular signatures in mild intrinsic atopic dermatitis by bioinformatics analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992548/ https://www.ncbi.nlm.nih.gov/pubmed/33911724 http://dx.doi.org/10.5021/ad.2020.32.2.130 |
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