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Table 1 Datasets used in the study a

From: Shared signatures between rheumatoid arthritis, systemic lupus erythematosus and Sjögren’s syndrome uncovered through gene expression meta-analysis

GEO ID Platform Disease Cases/controls Description Reference Key findings
[GEO:GSE10325] Affymetrix Human Genome U133A Array SLE 39/28 Expression data from human peripheral blood subsets [22] Some apoptotic genes are related to SLE phenotype
[GEO:GSE15573] Affymetrix Human Genome U133 Plus 2.0 Array RA 18/15 Immunity and defense genes in PBMCs of RA patients [23] 283 underexpressed genes (involved in metabolic processes), 101 overexpressed (immunity, calcium transport)
[GEO:GSE4588] Illumina Human 6 v2.0 expression BeadChip SLE, RA 15 SLE, 15 RA/19 Identification of genes specifically overexpressed in SLE CD4 T and B cells
[GEO:GSE51092] Illumina Human WG-6 v3.0 expression BeadChip SjS 190/32 Variants at multiple loci implicated in both innate and adaptive immune responses are associated with SjS [24] Risk loci for SjS (related to IFN pathway, STATs, chemokine receptors, interleukins proteins or a BLK
  1. aNCBI GEO ID: Unique gene expression series identifier for each dataset in the National Center for Biotechnology Information Gene Expression Omnibus database; Platform: Microarray platform; Disease: Type of disease and number of cases/controls in each dataset; Description: Brief description of the study; Reference: Publication; Key findings: Main findings in the original studies. BLK, B Lymphocyte Kinase Protein; IFN, Interferon; PBMCs, Peripheral blood mononuclear cells; RA, Rheumatoid arthritis; SLE, Systemic lupus erythematosus; SjS, Sjögren’s syndrome; STAT, Signal transducers and activators of transcription.