SLE is a chronic autoimmune inflammatory disease characterized by production of autoantibodies, immune complex formation and an activated type I interferon (IFN) system. Single-cell RNA sequencing (scRNA-seq) provides an approach to define different cell types and their individual transcriptomes. Such studies have been performed in SLE comparing patients with high vs. low disease activity, identifying expansion of specific peripheral blood mononuclear cells (PBMC) subpopulations enriched in interferon-stimulated genes. However, gene expression studies using scRNA-seq of subgroups of SLE patients with specific cellular repertoire have not been performed. In this study, we will stratify patients based on activated pathways and use scRNA-seq of PBMCs to identify key molecules driving SLE pathogenesis. Our project has and will generate information on genetic variation on individuals (patients and healthy individuals) which will be analysed together with clinical information from patient’s medical charts. This information constitutes sensitive personal information.