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. 2015 Jul 1;17(1):167. doi: 10.1186/s13075-015-0677-3

Table 1.

Rheumatic disease studies using RNA-seq technology

Disease Sample size Cell type RNA-seq application Reference
JIA 3 JIA patients, 3 patients at clinical remission, 3 healthy controls PBMCs Non-coding RNA (lncRNAs) [48]*
RA 2 RA patients, 2 healthy controls RASFs DE transcript/gene analysis [44]
RA 6 RA patients PBMCs Biomarker discovery [47]*
SLE 9 SLE patients, 8 healthy controls Human monocytes DE transcript/gene analysis [45]
SLE 6 SLE patients, 3 healthy controls PBMCs Single gene profiling [53]
SS 50 SS patients, 37 healthy controls Whole blood cells Non-coding RNA (lncRNAs) [49]*
SS 6 SS patients, 3 healthy controls Minor salivary glands Non-coding RNA (miRNAs) [50]

*Non-peer-reviewed abstracts. DE, differential expression; JIA, juvenile idiopathic arthritis; lncRNA, long non-coding RNA; PBMC, peripheral blood mononuclear cell; RA, rheumatoid arthritis; RASF, rheumatoid arthritis synovial fibroblast; RNA-seq, RNA sequencing; SLE, systemic lupus erythematosus; SS, Sjögren’s syndrome