A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritis

Abstract Background The purpose of this study is to identify key genes and microRNAs (miRNAs) involved in autoantibody-mediated arthritis (AMA). Methods A time-course microarray data (ID: GSE27492) of peripheral blood leukocytes, ankle tissue, and synovial fluid from K/BxN mouse serum-transferred mi...

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Main Authors: Xinwen Wang, Jie Bai, Zhen Jia, Yangjun Zhu, Jijun Liu, Kun Zhang, Dingjun Hao, Lisong Heng
Format: Article
Language:English
Published: BMC 2017-12-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13018-017-0674-0
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spelling doaj-2c8733d1e63641d88380ebb025032b2f2020-11-25T00:20:32ZengBMCJournal of Orthopaedic Surgery and Research1749-799X2017-12-011211710.1186/s13018-017-0674-0A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritisXinwen Wang0Jie Bai1Zhen Jia2Yangjun Zhu3Jijun Liu4Kun Zhang5Dingjun Hao6Lisong Heng7Department of Orthopedics, Honghui Hospital, Xi’an Jiaotong UniversityDepartment of Orthopedics, Honghui Hospital, Xi’an Jiaotong UniversityDepartment of Endocrinology, Xi’an No. 1 HospitalDepartment of Orthopedics, Honghui Hospital, Xi’an Jiaotong UniversityDepartment of Orthopedics, Honghui Hospital, Xi’an Jiaotong UniversityDepartment of Orthopedics, Honghui Hospital, Xi’an Jiaotong UniversityDepartment of Orthopedics, Honghui Hospital, Xi’an Jiaotong UniversityDepartment of Orthopedics, Honghui Hospital, Xi’an Jiaotong UniversityAbstract Background The purpose of this study is to identify key genes and microRNAs (miRNAs) involved in autoantibody-mediated arthritis (AMA). Methods A time-course microarray data (ID: GSE27492) of peripheral blood leukocytes, ankle tissue, and synovial fluid from K/BxN mouse serum-transferred mice were downloaded from Gene Expression Omnibus. Those samples were collected at days 0, 1, 3, 7, 12, and 18 after serum injection. Limma of R was employed to identify differentially expressed genes (DEGs) in samples collected at days 1–18 compared with those collected at day 0. Consistent DEGs were obtained by taking the interaction of DEGs from different time points, followed by functional enrichment analysis. MiRNAs were screened out and constructed into regulatory network with DEGs using Cytoscape. Results In total, 17 consistent DEGs were obtained, including downregulated Ephx1 and upregulated AF251705, Adam8, Arg1, Basp1, Ccl2, Ccl7, Ccl9, Ccr2, Clec4a2, Clec4d, Cxcl1, Fabp5, Fcgr1, Gp49a, Il1rn, and Saa3. Those DEGs were associated with biological processes of immune response, inflammatory response, and defense response; chemokine signaling pathway; cytokine-cytokine receptor interaction; and NOD-like receptor signaling pathway. Additionally, 202 miRNAs were identified to have a regulatory effect on 9 of the 17 DEGs. Notably, miR-944, miR-374a, and miR374b were found to regulate the expression of Cxcl1, Ccl7, and Ccl2. Clec4d was targeted by 78 miRNAs. Conclusions Our study reveals that 17 DEGs and 202 miRNAs may be associated with autoimmune disorder in the progression of AMA, which could guide future researches.http://link.springer.com/article/10.1186/s13018-017-0674-0ArthritisDifferentially expressed genesMicroRNARegulatory network
collection DOAJ
language English
format Article
sources DOAJ
author Xinwen Wang
Jie Bai
Zhen Jia
Yangjun Zhu
Jijun Liu
Kun Zhang
Dingjun Hao
Lisong Heng
spellingShingle Xinwen Wang
Jie Bai
Zhen Jia
Yangjun Zhu
Jijun Liu
Kun Zhang
Dingjun Hao
Lisong Heng
A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritis
Journal of Orthopaedic Surgery and Research
Arthritis
Differentially expressed genes
MicroRNA
Regulatory network
author_facet Xinwen Wang
Jie Bai
Zhen Jia
Yangjun Zhu
Jijun Liu
Kun Zhang
Dingjun Hao
Lisong Heng
author_sort Xinwen Wang
title A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritis
title_short A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritis
title_full A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritis
title_fullStr A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritis
title_full_unstemmed A time-course microarray data analysis reveals consistent dysregulated genes and upstream microRNAs in autoantibody-mediated arthritis
title_sort time-course microarray data analysis reveals consistent dysregulated genes and upstream micrornas in autoantibody-mediated arthritis
publisher BMC
series Journal of Orthopaedic Surgery and Research
issn 1749-799X
publishDate 2017-12-01
description Abstract Background The purpose of this study is to identify key genes and microRNAs (miRNAs) involved in autoantibody-mediated arthritis (AMA). Methods A time-course microarray data (ID: GSE27492) of peripheral blood leukocytes, ankle tissue, and synovial fluid from K/BxN mouse serum-transferred mice were downloaded from Gene Expression Omnibus. Those samples were collected at days 0, 1, 3, 7, 12, and 18 after serum injection. Limma of R was employed to identify differentially expressed genes (DEGs) in samples collected at days 1–18 compared with those collected at day 0. Consistent DEGs were obtained by taking the interaction of DEGs from different time points, followed by functional enrichment analysis. MiRNAs were screened out and constructed into regulatory network with DEGs using Cytoscape. Results In total, 17 consistent DEGs were obtained, including downregulated Ephx1 and upregulated AF251705, Adam8, Arg1, Basp1, Ccl2, Ccl7, Ccl9, Ccr2, Clec4a2, Clec4d, Cxcl1, Fabp5, Fcgr1, Gp49a, Il1rn, and Saa3. Those DEGs were associated with biological processes of immune response, inflammatory response, and defense response; chemokine signaling pathway; cytokine-cytokine receptor interaction; and NOD-like receptor signaling pathway. Additionally, 202 miRNAs were identified to have a regulatory effect on 9 of the 17 DEGs. Notably, miR-944, miR-374a, and miR374b were found to regulate the expression of Cxcl1, Ccl7, and Ccl2. Clec4d was targeted by 78 miRNAs. Conclusions Our study reveals that 17 DEGs and 202 miRNAs may be associated with autoimmune disorder in the progression of AMA, which could guide future researches.
topic Arthritis
Differentially expressed genes
MicroRNA
Regulatory network
url http://link.springer.com/article/10.1186/s13018-017-0674-0
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