Expression profiles of long non-coding RNAs located in autoimmune disease-associated regions reveal immune cell type specificity
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General Information
AccessionGSE62408
TitleExpression profiles of long non-coding RNAs located in autoimmune disease-associated regions reveal immune cell type specificity
DescriptionBackground: Although genome-wide association studies (GWAS) have identified hundreds of variants associated with risk of autoimmune and immune-related disorders (AID), our understanding of the diseases mechanisms is limited. In particular, more than 90%% of the risk variants lie in non-coding regions, and almost 10%% of these map to long non-coding RNA transcripts (lncRNAs). LncRNAs are known to show more cell-type specificity than protein-coding genes. Methods: In this study, we aimed to characterize lncRNAs and protein-coding genes located in loci associated with nine AID which have been well-defined by Immunochip analysis, by transcriptome analysis across seven peripheral blood leukocyte populations (granulocytes, monocytes, NK cells, B-cells, memory-T cells, naive CD4+ and naive CD8+ T-cells) and four cord blood derived T-helper cell populations (precursor, primary, polarized (Th1, Th2) T-helper cells). Results: We show that lncRNAs mapping to loci shared between AIDs are significantly enriched in immune cell types when compared to lncRNAs from the whole genome (<0.005). We were not able to prioritize single cell types relevant for specific diseases, but we observed five cell types enriched (<0.005) in five AID (NK cells for inflammatory bowel disease, juvenile idiopathic arthritis, primary biliary cirrhosis, psoriasis; memory-T and CD8+ T-cells in juvenile idiopathic arthritis, primary biliary cirrhosis, psoriasis, rheumatoid arthritis; Th0 and Th2 cells for inflammatory bowel disease, juvenile idiopathic arthritis, primary biliary cirrhosis, psoriasis, rheumatoid arthritis). Furthermore we show that co-expression analyses of lncRNAs and protein-coding genes can predict the signaling pathways in which these AID-associated lncRNAs are involved. Conclusions: The observed enrichment of lncRNA transcripts in AID loci implies an important role for lncRNAs in AID etiology and suggests that lncRNA genes should be studied in more detail to correctly interpret GWAS findings. The co-expression results strongly support a model in which the lncRNA and protein-coding genes function together in the same pathways.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62408
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

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Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Canned Analyses generated with the dataset

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Interactive heatmap visualization of RNA-seq dataset GSE62408
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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