Dataset Information

RNA and surface epitope sequencing of single cells involved in spondyloarthritis

ABSTRACT: Early diagnosis of psoriatic arthritis (PSA) and differentiation of this disease from similar but distinct arthritides, such as ankylosing spondylitis (AS), is important for successful therapeutic intervention but currently remains challenging due, in part, to the scarcity of non-invasive biomarkers. In this study, we perform single cell profiling of transcriptome and cell surface protein expression on the peripheral blood immunocyte populations of individuals with PSA, individuals with AS, individuals with cutaneous psoriasis (PSO) alone, and healthy individuals to identify gene and protein features differentially expressed between these groups across 30 immune cell types and to further evaluate the diagnostic potential of these features using a machine learning classification approach.

ORGANISM(S): Homo sapiens

PROVIDER: GSE194315 | GEO | 2022/03/07

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:We have compared synovial biopsies from ankylosing spondylitis and undifferentiated spondylitis patients with healthy controls and osteoarthritis patients Objective: In spondylarthropies, whole-genome gene expression profiling studies have been limited to peripheral blood to date. By undertaking a study in knee synovial biopsies from spondylarthropy (SpA) and ankylosing spondylitis (AS) patients we aimed to identified joint-specific candidate genes and pathways. These pathways may mediate systemic inflammation driven joint damaging processes and more specifically, the osteoproliferation that is characteristic of these conditions. Methods: RNA was extracted from six seronegative SpA, two AS, three osteoarthritis (OA) and four normal control knee synovial biopsies. Whole genome expression profiling was undertaken using the Illumina DASL system, which assays 24000 cDNA probes. Differentially expressed candidate genes were then validated using quantitative PCR and immunohistochemistry. Results: 416 differentially expressed genes were identified that clearly delineated between AS/SpA and control groups. Pathway analysis showed altered gene-expression in oxidoreductase activity, osteoblast activity, B-cell associated, matrix catabolic, and metabolic pathways. The inflammatory mediator, MMP3, was strongly upregulated in AS/SpA samples and the Wnt pathway inhibitors DKK3 and Kremen1 were downregulated. Conclusion: Pathways mediating both systemic inflammation as well as local tissue changes were identified. This suggests initial systemic inflammation in spondylarthropies transfers to and persists in the local joint environment, subsequently mediating changes in genes directly involved in the destructive tissue remodelling. Fifteen knee synovial biopsy tissue samples consisting of six seronegative spondyloarthropy (SpA), two ankylosing spondylitis (AS), three osteoarthritis (OA) and four normal control biopsies were obtained from the Synovial Tissue Bank at the Repatriation General Hospital in Adelaide, South Australia with the appropriate ethical approval (Supplementary Table 1). All patients provided informed written consent.

Dataset Information

RNA and surface epitope sequencing of single cells involved in spondyloarthritis

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure