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Laser Capture Microscopy RNA Sequencing for Topological Mapping of Synovial Pathology During Rheumatoid Arthritis

转录组 滑膜 病理 骨关节炎 类风湿性关节炎 关节炎 基因表达 医学 生物 基因 免疫学 遗传学 替代医学
作者
Benjamin Van Espen,Edward B. Prideaux,Andrew Wilson,Camilla R.L. Machado,Sho Sendo,James Parker,Grégory Seumois,Cristiano Sacchetti,Anna C. Belongia,Narayanan B. Perumal,Pandurangan Vijayanand,Matthew D. Linnik,Robert J. Benschop,Wei Wang,Nunzio Bottini,Gary S. Firestein,Stephanie M. Stanford
出处
期刊:Arthritis & rheumatology [Wiley]
卷期号:76 (8): 1243-1251
标识
DOI:10.1002/art.42853
摘要

Objective Rheumatoid arthritis (RA) is an autoimmune disease in which the joint lining or synovium becomes highly inflamed and majorly contributes to disease progression. Understanding pathogenic processes in RA synovium is critical for identifying therapeutic targets. We performed laser capture microscopy (LCM) followed by RNA sequencing (LCM‐RNAseq) to study regional transcriptomes throughout RA synovium. Methods Synovial lining, sublining, and vessel samples were captured by LCM from seven patients with RA and seven patients with osteoarthritis (OA). RNAseq was performed on RNA extracted from captured tissue. Principal component analysis was performed on the sample set by disease state. Differential expression analysis was performed between disease states based on log 2 fold change and q value parameters. Pathway analysis was performed using the Reactome Pathway Database on differentially expressed genes among disease states. Significantly enriched pathways in each synovial region were selected based on the false discovery rate. Results RA and OA transcriptomes were distinguishable by principal component analysis. Pairwise comparisons of synovial lining, sublining, and vessel samples between RA and OA revealed substantial differences in transcriptional patterns throughout the synovium. Hierarchical clustering of pathways based on significance revealed a pattern of association between biologic function and synovial topology. Analysis of pathways uniquely enriched in each region revealed distinct phenotypic abnormalities. As examples, RA lining samples were marked by anomalous immune cell signaling, RA sublining samples were marked by aberrant cell cycle, and RA vessel samples were marked by alterations in heme scavenging. Conclusion LCM‐RNAseq confirms reported transcriptional differences between the RA synovium and the OA synovium and provides evidence supporting a relationship between synovial topology and molecular anomalies in RA.
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