ArticleIranian journal of biotechnology2021
Co-expression Network Analysis Reveals Key Genes Related to Ankylosing spondylitis Arthritis Disease: Computational and Experimental Validation.
Article in Iranian journal of biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Integrating genome-wide association studies with quantitative trait loci prioritisedERJ open research · 2026Article
- mRNAome Analysis of Whole Blood of Patients with Psoriatic Arthritis, Ankylosing Spondylitis, and Rheumatoid Arthritis.Current rheumatology reviews · 2026Review
- Bioinformatics analysis and in vitro studies identify COX7C as a prognostic predictor in gastric adenocarcinoma.BMC gastroenterology · 2025Article
- Identifying potential drug targets for sepsis-related adult respiratory distress syndrome through comprehensive genetic analysis and druggability assessment.Journal of global health · 2025Article
- Lapatinib-induced enhancement of mitochondrial respiration in HER2-positive SK-BR-3 cells: mechanism revealed by analysis of proteomic but not transcriptomic data.Frontiers in molecular biosciences · 2024Article
- Identification of a Novel Gene Expression Signature Associated with Amino Acid Metabolism (AAM) in Ankylosing Spondylitis (AS).International journal of general medicine · 2024Article
- RNA-Sequencing and Bioinformatics Analysis of Exosomal Long Noncoding RNAs Revealed a Novel ceRNA Network in Stable COPD.International journal of chronic obstructive pulmonary disease · 2023Article
- csdR, an R package for differential co-expression analysis.BMC bioinformatics · 2022Article
- Exploration of the Immuno-Inflammatory Potential Targets of Xinfeng Capsule in Patients with Ankylosing Spondylitis Based on Data Mining, Network Pharmacology, and Molecular Docking.Evidence-based complementary and alternative medicine : eCAM · 2022Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnkylosing spondylitis (AS) is a type of arthritis which can cause inflammation in the vertebrae and joints between the spine and pelvis. However, our understanding of the exact genetic mechanisms of AS is still far from being clear.
objectiveTo study and find the mechanisms and possible biomarkers related to AS by surveying inter-gene correlations of networks. MATERIALS AND
methodsA weighted gene co-expression network was constructed among genes identified by microarray analysis, gene co-expression network analysis, and network clustering. Then receiver operating characteristic (ROC) curves were conducted to identify a significant module with the genes implicated in the AS pathogenesis. Real-time PCR was performed to validate the results of microarray analysis.
resultsIn the significant module obtained from the network analysis there were eight AS related genes (LSM3, MRPS11,
conclusionsThe results of the present study may contribute to understanding of AS molecular pathogenesis, thereby aiding the early prognosis, diagnosis, and effective therapies of the disease.
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