作者: Juan Fernández-Tajes , Angel Soto-Hermida , Maria E Vázquez-Mosquera , Estefania Cortés-Pereira , Alejandro Mosquera
DOI: 10.1136/ANNRHEUMDIS-2012-202783
关键词: Cartilage 、 Genome 、 Biology 、 Gene 、 Bioinformatics 、 Osteoarthritis 、 DNA methylation 、 Epigenetics 、 Quantitative Reverse Transcriptase PCR 、 Real-time polymerase chain reaction
摘要: Objective Alterations in DNA methylation patterns have been found to correlate with several diseases including osteoarthritis (OA). The aim of this study was identify, for the first time, genome-wide profiles human articular chondrocytes from OA cartilage and healthy control samples. Methods profiling performed using Illumina Infinium HumanMethylation27 25 patients 20 controls. Subsequent validation by expression analysis Affymetrix Human Gene 1.1 ST array an independent cohort 24 OA. Finally, most consistent genes both assays were amplified quantitative reverse transcriptase PCR a 48 microfluidic real-time PCR. Appropriate bioinformatics analyses carried out R bioconductor software packages qBase plus Biogazelle. Results We 91 differentially methylated (DM) probes, which permitted us separate Among OA, we detected 1357 DM probes that identified tight cluster seven who different rest. This also 450 expressed. Further identify cluster, characterised increased inflammatory processes. Conclusions able subgroup response could be regulated epigenetics. identification isolation may critical development effective treatment disease prevention.