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ABSTRACT: Objectives
To investigate the immune cell profiles of patients with systemic lupus erythematosus (SLE), and to identify longitudinal changes in those profiles over time.Methods
We employed mass cytometry with 3 different panels of 38-39 markers (an immunophenotyping panel, a T cell/monocyte panel, and a B cell panel) in cryopreserved peripheral blood mononuclear cells (PBMCs) from 9 patients with early SLE, 15 patients with established SLE, and 14 controls without autoimmune disease. We used machine learning-driven clustering, flow self-organizing maps, and dimensional reduction with t-distributed stochastic neighbor embedding to identify unique cell populations in early SLE and established SLE. We used mass cytometry data of PBMCs from 19 patients with early rheumatoid art
SUBMITTER: Sasaki T
PROVIDER: S-EPMC10238884 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature