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RNA and surface epitope sequencing of single cells involved in spondyloarthritis

GSE194315 Homo sapiens Expression profiling by high throughput sequencing 48 samples Submitted 2022/03/07 Platform GPL24676
Summary
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.
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Direct links to NCBI, no account and no request form: the whole study as GSE194315_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 48 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA800261 and SRA study SRP356618. Searching any of these in the dataset finder brings you back here.

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