Identification of Potential Transcriptomic Markers in Developing Ankylosing Spondylitis: A Meta-Analysis of Gene Expression Profiles
Joint Authors
Fang, Fang
Pan, Jian
Xu, Lixiao
Li, Gang
Wang, Jian
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-22
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The goal of this study was to identify potential transcriptomic markers in developing ankylosing spondylitis by a meta-analysis of multiple public microarray datasets.
Using the INMEX (integrative meta-analysis of expression data) program, we performed the meta-analysis to identify consistently differentially expressed (DE) genes in ankylosing spondylitis and further performed functional interpretation (gene ontology analysis and pathway analysis) of the DE genes identified in the meta-analysis.
Three microarray datasets (26 cases and 29 controls in total) were collected for meta-analysis.
905 consistently DE genes were identified in ankylosing spondylitis, among which 482 genes were upregulated and 423 genes were downregulated.
The upregulated gene with the smallest combined rank product (RP) was GNG11 (combined R P = 29 9.64 ).
The downregulated gene with the smallest combined RP was S100P (combined RP = 335.94 ).
In the gene ontology (GO) analysis, the most significantly enriched GO term was “immune system process” ( P = 3.46 × 10 - 26 ).
The most significant pathway identified in the pathway analysis was antigen processing and presentation ( P = 8.40 × 10 - 5 ).
The consistently DE genes in ankylosing spondylitis and biological pathways associated with those DE genes identified provide valuable information for studying the pathophysiology of ankylosing spondylitis.
American Psychological Association (APA)
Fang, Fang& Pan, Jian& Xu, Lixiao& Li, Gang& Wang, Jian. 2015. Identification of Potential Transcriptomic Markers in Developing Ankylosing Spondylitis: A Meta-Analysis of Gene Expression Profiles. BioMed Research International،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1056892
Modern Language Association (MLA)
Fang, Fang…[et al.]. Identification of Potential Transcriptomic Markers in Developing Ankylosing Spondylitis: A Meta-Analysis of Gene Expression Profiles. BioMed Research International No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1056892
American Medical Association (AMA)
Fang, Fang& Pan, Jian& Xu, Lixiao& Li, Gang& Wang, Jian. Identification of Potential Transcriptomic Markers in Developing Ankylosing Spondylitis: A Meta-Analysis of Gene Expression Profiles. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1056892
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056892