SynthesisBioMed research international2015
Identification of potential transcriptomic markers in developing ankylosing spondylitis: a meta-analysis of gene expression profiles.
Synthesis in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Identification of drought stress-responsive genes in rice (Journal of genetics · 2020Pooled it
- Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders.Scientific reports · 2016Pooled it
- Identification of novel therapeutic target genes in acquired lapatinib-resistant breast cancer by integrative meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Pooled it
- Role of innate immunity-triggered pathways in the pathogenesis of Sickle Cell Disease: a meta-analysis of gene expression studies.Scientific reports · 2015Pooled it
- The Identification of Blood Biomarkers of Chronic Neuropathic Pain by Comparative Transcriptomics.Neuromolecular medicine · 2022Article
- Article
- TCM nonpharmacological interventions for ankylosing spondylitis: A protocol for systematic review and network meta-analysis.Medicine · 2021Article
- Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Peripheral Mononuclear Cells in Patients With Ankylosing Spondylitis.Frontiers in immunology · 2021Article
- Biomarker development for axial spondyloarthritis.Nature reviews. Rheumatology · 2020Review
- Article
- Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.Experimental and therapeutic medicine · 2019Article
- Targeting inflammatory pathways in axial spondyloarthritis.Arthritis research & therapy · 2019Review
- Gene Expression Pathways across Multiple Tissues in Antineutrophil Cytoplasmic Antibody-associated Vasculitis Reveal Core Pathways of Disease Pathology.The Journal of rheumatology · 2019Article
- Biomarkers for Diagnosis of Axial Spondyloarthritis, Disease Activity, Prognosis, and Prediction of Response to Therapy.Frontiers in immunology · 2019Review
- Expression and Metabolomic Profiling in Axial Spondyloarthritis.Current rheumatology reports · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 RP=299.64). 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.
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