Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study

Vitiligo is the most common cause of skin, hair, and oral depigmentation which is known as an autoimmune disorder. Genetic and environmental factors have important roles in the progression of the disease. Dysregulation of gene expression, like microRNAs (miRNA), may serve as major relevant factors....

Full description

Bibliographic Details
Main Authors: Afshin Derakhshani, Homa Mollaei, Negin Parsamanesh, Mohammad Fereidouni, Ebrahim Miri-Moghaddam, Saeed Nasseri, Yongwen Luo, Hossein Safarpour, Behzad Baradaran
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2020-10-01
Series:Iranian Journal of Allergy, Asthma and Immunology
Subjects:
Online Access:https://ijaai.tums.ac.ir/index.php/ijaai/article/view/2686
_version_ 1828845192455651328
author Afshin Derakhshani
Homa Mollaei
Negin Parsamanesh
Mohammad Fereidouni
Ebrahim Miri-Moghaddam
Saeed Nasseri
Yongwen Luo
Hossein Safarpour
Behzad Baradaran
author_facet Afshin Derakhshani
Homa Mollaei
Negin Parsamanesh
Mohammad Fereidouni
Ebrahim Miri-Moghaddam
Saeed Nasseri
Yongwen Luo
Hossein Safarpour
Behzad Baradaran
author_sort Afshin Derakhshani
collection DOAJ
description Vitiligo is the most common cause of skin, hair, and oral depigmentation which is known as an autoimmune disorder. Genetic and environmental factors have important roles in the progression of the disease. Dysregulation of gene expression, like microRNAs (miRNA), may serve as major relevant factors. Several biological processes are involved in vitiligo disease and developing a comprehensive approach helps us to better understand the molecular mechanisms of disease. In this research, we describe how a weighted gene co-expression network analysis as a systems biology approach assists to define the primary gene modules, hub genes, and messenger RNA (mRNA)-miRNA regulatory network in vitiligo disease as the novel biomarkers. The results demonstrated a module with a high correlation with vitiligo state. Moreover, gene enrichment analysis showed that this module's genes were mostly involved in some biological activities including G protein-coupled receptors signaling pathway, lymphocyte chemotaxis, chemokine activity, neutrophil migration, granulocyte chemotaxis, etc. The co-expression network was constructed using top hub genes of the correlated module which are named as CXCL10, ARL9, AKR1B10, COX7B, RPL26, SPA17, NDUFAF2, RPF2, DAPL1, RPL34, CWC15, NDUFB3, RPL26L1, ACOT13, HSPB11, and NSA2. MicroRNAs prediction tool (miRWalk) revealed top miRNAs correlated with the interested module. Finally, a drug-target network was constructed which indicated interactions of some food and drug administration (FDA) approved drugs with hub genes. Our findings specified one important module and main hub genes which can be considered as novel biomarkers for vitiligo therapeutic purposes.
first_indexed 2024-12-12T21:21:59Z
format Article
id doaj.art-46a4bf35b928442a8e5df2af08826a91
institution Directory Open Access Journal
issn 1735-1502
1735-5249
language English
last_indexed 2024-12-12T21:21:59Z
publishDate 2020-10-01
publisher Tehran University of Medical Sciences
record_format Article
series Iranian Journal of Allergy, Asthma and Immunology
spelling doaj.art-46a4bf35b928442a8e5df2af08826a912022-12-22T00:11:33ZengTehran University of Medical SciencesIranian Journal of Allergy, Asthma and Immunology1735-15021735-52492020-10-0119510.18502/ijaai.v19i5.44672686Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology StudyAfshin Derakhshani0Homa Mollaei1Negin Parsamanesh2Mohammad Fereidouni3Ebrahim Miri-Moghaddam4Saeed Nasseri5Yongwen Luo6Hossein Safarpour7Behzad Baradaran8Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, IranDepartment of Biology, Faculty of Sciences, University of Birjand, Birjand, IranZanjan Metabolic Diseases Research Center, Zanjan University of Medical Sciences, Zanjan, IranCellular and Molecular Research center, Birjand University of Medical Sciences, Birjand, IranDepartment of Molecular Medicine, Cardiovascular Diseases Research Center, School of Medicine, Birjand University of Medical Sciences, Birjand, IranCellular and Molecular Research center, Birjand University of Medical Sciences, Birjand, IranDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, ChinaCellular and Molecular Research center, Birjand University of Medical Sciences, Birjand, IranImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran AND Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, IranVitiligo is the most common cause of skin, hair, and oral depigmentation which is known as an autoimmune disorder. Genetic and environmental factors have important roles in the progression of the disease. Dysregulation of gene expression, like microRNAs (miRNA), may serve as major relevant factors. Several biological processes are involved in vitiligo disease and developing a comprehensive approach helps us to better understand the molecular mechanisms of disease. In this research, we describe how a weighted gene co-expression network analysis as a systems biology approach assists to define the primary gene modules, hub genes, and messenger RNA (mRNA)-miRNA regulatory network in vitiligo disease as the novel biomarkers. The results demonstrated a module with a high correlation with vitiligo state. Moreover, gene enrichment analysis showed that this module's genes were mostly involved in some biological activities including G protein-coupled receptors signaling pathway, lymphocyte chemotaxis, chemokine activity, neutrophil migration, granulocyte chemotaxis, etc. The co-expression network was constructed using top hub genes of the correlated module which are named as CXCL10, ARL9, AKR1B10, COX7B, RPL26, SPA17, NDUFAF2, RPF2, DAPL1, RPL34, CWC15, NDUFB3, RPL26L1, ACOT13, HSPB11, and NSA2. MicroRNAs prediction tool (miRWalk) revealed top miRNAs correlated with the interested module. Finally, a drug-target network was constructed which indicated interactions of some food and drug administration (FDA) approved drugs with hub genes. Our findings specified one important module and main hub genes which can be considered as novel biomarkers for vitiligo therapeutic purposes.https://ijaai.tums.ac.ir/index.php/ijaai/article/view/2686MicroRNAsSystems biologyVitiligo
spellingShingle Afshin Derakhshani
Homa Mollaei
Negin Parsamanesh
Mohammad Fereidouni
Ebrahim Miri-Moghaddam
Saeed Nasseri
Yongwen Luo
Hossein Safarpour
Behzad Baradaran
Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study
Iranian Journal of Allergy, Asthma and Immunology
MicroRNAs
Systems biology
Vitiligo
title Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study
title_full Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study
title_fullStr Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study
title_full_unstemmed Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study
title_short Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study
title_sort gene co expression network analysis for identifying modules and functionally enriched pathways in vitiligo disease a systems biology study
topic MicroRNAs
Systems biology
Vitiligo
url https://ijaai.tums.ac.ir/index.php/ijaai/article/view/2686
work_keys_str_mv AT afshinderakhshani genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT homamollaei genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT neginparsamanesh genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT mohammadfereidouni genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT ebrahimmirimoghaddam genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT saeednasseri genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT yongwenluo genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT hosseinsafarpour genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy
AT behzadbaradaran genecoexpressionnetworkanalysisforidentifyingmodulesandfunctionallyenrichedpathwaysinvitiligodiseaseasystemsbiologystudy