Project description:To investigate the effects of soluble factors produced by synovial CD8 T cells, we stimulated human rheumatoid arthritis (RA) synovial fibroblasts with supernatants from synovial fluid CD8 T cells, blood CD8 T cells, or synovial fluid CD4 T cells stimulated with anti-CD3/CD28 antibody-coated beads. For comparison, we stimulated RA synovial fibroblasts with recombinant TNF or interferon-gamma or T cell supernatants pre-incubated with TNF-blocking antibodies.
Project description:The role of synovial tissue fibroblasts and macrophages interactions in driving chronic inflammation and resolution of arthritis is unknown. In this project, we used bulk RNAseq to investigate the impact of different phenotypes of macrophages on activation of synovial fibroblasts.
Project description:We applied quantitative mass spectrometry (MS)-based proteomics to investigate the phosphoproteome of hTNF-stimulated and Amisulpride-treated synovial fibroblasts (SFs), as part of a study aiming to find new potent orally-administered therapeutics to reverse the pathogenic expression signature of arthritogenic SFs. Phosphoproteomics analysis were done by DIA-based phosphoproteomic profiling of synovial fibroblasts. Samples consisted of hTNF-induced WT SFs. Three different time points (5’, 15’, 30’) of hTNF induction were used and compared to cells pretreated with Amisulpride for 1h before being stimulated at similar time points with hTNF (5’, 15’, 30’).
Project description:The aim of this study was to explore the role of ARNO, also known as Cyth2, in synovial fibroblasts using NGS-derived transcriptome analysis (RNA-seq). Synovial fibroblasts were isolated from mouse synovium, and stimulated with IL-1beta for 12 hours in healthy cells and cells where Cyth2 expression was knocked-down by silencing RNA. Methods: Synovial fibroblasts were extracted from the synovium of healthy mice and expanded in vitro, RNA was extracted from naïve, IL-1β stimulated and IL-1β stimulated ARNO knock-down synovial fibroblast. Methods: Whole Transcriptome Profiling of synovial fibroblasts were generated by deep sequencing, in triplicate, using Illumina NextSeq™ 500 platform. Libraries were prepared using polyA selection (TruSeq stranded mRNA kit). Methods: The sequence reads that passed quality filters were aligned to mouse reference genome (GRCM38) using Hisat2 version 2.1.0. we mapped about 30 million sequence reads per sample (75 bp, paired-end) Methods: Featurecounts version 1.4.6 was used to quantify reads counts. Data quality control, non-expressed gene filtering, median ratio normalization (MRN) implemented in DESeq2 package and identification of differentially expressed (DE) genes were done using the R bioconductor project DEbrowser. Results: Firstly, We detected differentially expressed (DE) genes among three conditions, which pass the threshold of >4 fold, adjp <0.01. Then, we detected DE genes in IL-1β stimulated ARNO knock-down synovial fibroblast compared to IL-1β stimulated synovial fibroblast, which pass the threshold of >2 fold, adjp <0.01. DE genes reflect decreased cellular inflammatory response after ARNO knockdown Conclusions: Our results reflect an ARNO-mediated inflammatory response in synovial fibroblast, provides new opportunitties for targeting fibroblast in chronic arthritis and joint disease.
