Type
ArticleAuthors
Hon, Chung-ChauRamilowski, Jordan A.
Harshbarger, Jayson
Bertin, Nicolas
Rackham, Owen J. L.
Gough, Julian
Denisenko, Elena
Schmeier, Sebastian

Poulsen, Thomas M.
Severin, Jessica
Lizio, Marina

Kawaji, Hideya

Kasukawa, Takeya

Itoh, Masayoshi
Burroughs, A. Maxwell
Noma, Shohei
Djebali, Sarah
Alam, Tanvir

Medvedeva, Yulia A.
Testa, Alison C.
Lipovich, Leonard
Yip, Chi-Wai
Abugessaisa, Imad

Mendez, Mickaël
Hasegawa, Akira
Tang, Dave
Lassmann, Timo
Heutink, Peter

Babina, Magda
Wells, Christine A.
Kojima, Soichi

Nakamura, Yukio
Suzuki, Harukazu
Daub, Carsten O.
Hoon, Michiel J. L. de
Arner, Erik
Hayashizaki, Yoshihide
Carninci, Piero
Forrest, Alistair R. R.
KAUST Department
Computational Bioscience Research Center (CBRC)Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2017-03-01Online Publication Date
2017-03-01Print Publication Date
2017-03Permanent link to this record
http://hdl.handle.net/10754/623789
Metadata
Show full item recordAbstract
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.Citation
Hon C-C, Ramilowski JA, Harshbarger J, Bertin N, Rackham OJL, et al. (2017) An atlas of human long non-coding RNAs with accurate 5′ ends. Nature 543: 199–204. Available: http://dx.doi.org/10.1038/nature21374.Sponsors
FANTOM5 was made possible by research grants for the RIKEN Omics Science Center and the Innovative Cell Biology by Innovative Technology (Cell Innovation Program) from the MEXT to Y.H. It was also supported by research grants for the RIKEN Preventive Medicine and Diagnosis Innovation Program (RIKEN PMI) to Y.H. and the RIKEN Centre for Life Science Technologies, Division of Genomic Technologies (RIKEN CLST (DGT)) from the MEXT, Japan. A.R.R.F. is supported by a Senior Cancer Research Fellowship from the Cancer Research Trust, the MACA Ride to Conquer Cancer and the Australian Research Council’s Discovery Projects funding scheme (DP160101960). S.D. is supported by award number U54HG007004 from the National Human Genome Research Institute of the National Institutes of Health, funding from the Ministry of Economy and Competitiveness (MINECO) under grant number BIO2011-26205, and SEV-2012-0208 from the Spanish Ministry of Economy and Competitiveness. Y.A.M. is supported by the Russian Science Foundation, grant 15-14-30002. We thank RIKEN GeNAS for generation of the CAGE and RNA-seq libraries, the Netherlands Brain Bank for brain materials, the RIKEN BioResource Centre for providing cell lines and all members of the FANTOM5 consortium for discussions, in particular H. Ashoor, M. Frith, R. Guigo, A. Tanzer, E. Wood, H. Jia, K. Bailie, J. Harrow, E. Valen, R. Andersson, K. Vitting-Seerup, A. Sandelin, M. Taylor, J. Shin, R. Mori, C. Mungall and T. Meehan.Publisher
Springer NatureJournal
Natureae974a485f413a2113503eed53cd6c53
10.1038/nature21374