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An atlas of human long non-coding RNAs with accurate 5' ends.
- Source :
-
Nature [Nature] 2017 Mar 09; Vol. 543 (7644), pp. 199-204. Date of Electronic Publication: 2017 Mar 01. - Publication Year :
- 2017
-
Abstract
- Long non-coding RNAs (lncRNAs) are largely heterogeneous and functionally uncharacterized. Here, using FANTOM5 cap analysis of gene expression (CAGE) data, we integrate multiple transcript collections to generate a comprehensive atlas of 27,919 human lncRNA genes with high-confidence 5' ends and expression profiles across 1,829 samples from the major human primary cell types and tissues. Genomic and epigenomic classification of these lncRNAs reveals that most intergenic lncRNAs originate from enhancers rather than from promoters. Incorporating genetic and expression data, we show that lncRNAs overlapping trait-associated single nucleotide polymorphisms are specifically expressed in cell types relevant to the traits, implicating these lncRNAs in multiple diseases. We further demonstrate that lncRNAs overlapping expression quantitative trait loci (eQTL)-associated single nucleotide polymorphisms of messenger RNAs are co-expressed with the corresponding messenger RNAs, suggesting their potential roles in transcriptional regulation. Combining these findings with conservation data, we identify 19,175 potentially functional lncRNAs in the human genome.
- Subjects :
- Cells, Cultured
Conserved Sequence genetics
Datasets as Topic
Enhancer Elements, Genetic genetics
Epigenesis, Genetic
Gene Expression Profiling
Gene Expression Regulation
Genome, Human genetics
Genome-Wide Association Study
Genomics
Humans
Internet
Molecular Sequence Annotation
Organ Specificity genetics
Polymorphism, Single Nucleotide
Promoter Regions, Genetic genetics
Quantitative Trait Loci genetics
RNA Stability
RNA, Messenger genetics
Databases, Genetic
RNA, Long Noncoding chemistry
RNA, Long Noncoding genetics
Transcriptome genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1476-4687
- Volume :
- 543
- Issue :
- 7644
- Database :
- MEDLINE
- Journal :
- Nature
- Publication Type :
- Academic Journal
- Accession number :
- 28241135
- Full Text :
- https://doi.org/10.1038/nature21374