Use of RNA sequencing to evaluate rheumatic disease patients

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

ISSN: 1478-6362