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Identification of differentially expressed genes in childhood asthma

Asthma has been the most common chronic disease in children that places a major burden for affected people and their families. An integrated analysis of microarrays studies was performed to identify differentially expressed genes (DEGs) in childhood asthma compared with normal control. We also obtai...

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Autores principales: Zhang, Nian-Zhen, Chen, Xiu-Juan, Mu, Yu-Hua, Wang, Hewen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392650/
https://www.ncbi.nlm.nih.gov/pubmed/29794786
http://dx.doi.org/10.1097/MD.0000000000010861
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author Zhang, Nian-Zhen
Chen, Xiu-Juan
Mu, Yu-Hua
Wang, Hewen
author_facet Zhang, Nian-Zhen
Chen, Xiu-Juan
Mu, Yu-Hua
Wang, Hewen
author_sort Zhang, Nian-Zhen
collection PubMed
description Asthma has been the most common chronic disease in children that places a major burden for affected people and their families. An integrated analysis of microarrays studies was performed to identify differentially expressed genes (DEGs) in childhood asthma compared with normal control. We also obtained the differentially methylated genes (DMGs) in childhood asthma according to GEO. The genes that were both differentially expressed and differentially methylated were identified. Functional annotation and protein–protein interaction network construction were performed to interpret biological functions of DEGs. We performed q-RT-PCR to verify the expression of selected DEGs. One DNA methylation and 3 gene expression datasets were obtained. Four hundred forty-one DEGs and 1209 DMGs in childhood asthma were identified. Among which, 16 genes were both differentially expressed and differentially methylated in childhood asthma. Natural killer cell mediated cytotoxicity pathway, Jak-STAT signaling pathway, and Wnt signaling pathway were 3 significantly enriched pathways in childhood asthma according to our KEGG enrichment analysis. The PPI network of top 20 up- and downregulated DEGs consisted of 822 nodes and 904 edges and 2 hub proteins (UBQLN4 and MID2) were identified. The expression of 8 DEGs (GZMB, FGFBP2, CLC, TBX21, ALOX15, IL12RB2, UBQLN4) was verified by qRT-PCR and only the expression of GZMB and FGFBP2 was inconsistent with our integrated analysis. Our finding was helpful to elucidate the underlying mechanism of childhood asthma and develop new potential diagnostic biomarker and provide clues for drug design.
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spelling pubmed-63926502019-03-15 Identification of differentially expressed genes in childhood asthma Zhang, Nian-Zhen Chen, Xiu-Juan Mu, Yu-Hua Wang, Hewen Medicine (Baltimore) Research Article Asthma has been the most common chronic disease in children that places a major burden for affected people and their families. An integrated analysis of microarrays studies was performed to identify differentially expressed genes (DEGs) in childhood asthma compared with normal control. We also obtained the differentially methylated genes (DMGs) in childhood asthma according to GEO. The genes that were both differentially expressed and differentially methylated were identified. Functional annotation and protein–protein interaction network construction were performed to interpret biological functions of DEGs. We performed q-RT-PCR to verify the expression of selected DEGs. One DNA methylation and 3 gene expression datasets were obtained. Four hundred forty-one DEGs and 1209 DMGs in childhood asthma were identified. Among which, 16 genes were both differentially expressed and differentially methylated in childhood asthma. Natural killer cell mediated cytotoxicity pathway, Jak-STAT signaling pathway, and Wnt signaling pathway were 3 significantly enriched pathways in childhood asthma according to our KEGG enrichment analysis. The PPI network of top 20 up- and downregulated DEGs consisted of 822 nodes and 904 edges and 2 hub proteins (UBQLN4 and MID2) were identified. The expression of 8 DEGs (GZMB, FGFBP2, CLC, TBX21, ALOX15, IL12RB2, UBQLN4) was verified by qRT-PCR and only the expression of GZMB and FGFBP2 was inconsistent with our integrated analysis. Our finding was helpful to elucidate the underlying mechanism of childhood asthma and develop new potential diagnostic biomarker and provide clues for drug design. Wolters Kluwer Health 2018-05-25 /pmc/articles/PMC6392650/ /pubmed/29794786 http://dx.doi.org/10.1097/MD.0000000000010861 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-nc-sa/4.0
spellingShingle Research Article
Zhang, Nian-Zhen
Chen, Xiu-Juan
Mu, Yu-Hua
Wang, Hewen
Identification of differentially expressed genes in childhood asthma
title Identification of differentially expressed genes in childhood asthma
title_full Identification of differentially expressed genes in childhood asthma
title_fullStr Identification of differentially expressed genes in childhood asthma
title_full_unstemmed Identification of differentially expressed genes in childhood asthma
title_short Identification of differentially expressed genes in childhood asthma
title_sort identification of differentially expressed genes in childhood asthma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392650/
https://www.ncbi.nlm.nih.gov/pubmed/29794786
http://dx.doi.org/10.1097/MD.0000000000010861
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