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

Table 1 Datasets used in the study ^a

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

^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.

ISSN: 1478-6362