4.8 Article

deepBase v2.0: identification, expression, evolution and function of small RNAs, LncRNAs and circular RNAs from deep-sequencing data

Journal

NUCLEIC ACIDS RESEARCH
Volume 44, Issue D1, Pages D196-D202

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkv1273

Keywords

-

Funding

  1. Ministry of Science and Technology of China, National Basic Research Program [2011CB811300]
  2. National Natural Science Foundation of China [30900820, 31230042, 31370791, 31401975, 31471223, 91440110]
  3. Guangdong Province [S2012010010510, S2013010012457]
  4. project of Science and Technology New Star in ZhuJiang Guangzhou city [2012J2200025]
  5. Fundamental Research Funds for the Central Universities [2011330003161070, 141gjc18]
  6. China Postdoctoral Science Foundation [200902348]
  7. Guangdong Province Key Laboratory of Computational Science
  8. Guangdong Province Computational Science Innovative Research Team

Ask authors/readers for more resources

Small non-coding RNAs (e.g. miRNAs) and long non-coding RNAs (e.g. lincRNAs and circRNAs) are emerging as key regulators of various cellular processes. However, only a very small fraction of these enigmatic RNAs have been well functionally characterized. In this study, we describe deepBase v2.0 (http://biocenter.sysu.edu.cn/deepBase/), an updated platform, to decode evolution, expression patterns and functions of diverse ncRNAs across 19 species. deepBase v2.0 has been updated to provide the most comprehensive collection of ncRNA-derived small RNAs generated from 588 sRNA-Seq datasets. Moreover, we developed a pipeline named lncSeeker to identify 176 680 high-confidence lncRNAs from 14 species. Temporal and spatial expression patterns of various ncRNAs were profiled. We identified approximately 24 280 primate-specific, 5193 rodent-specific lncRNAs, and 55 highly conserved lncRNA orthologs between human and zebrafish. We annotated 14 867 human circRNAs, 1260 of which are orthologous to mouse circRNAs. By combining expression profiles and functional genomic annotations, we developed lncFunction webserver to predict the function of lncRNAs based on protein-lncRNA co-expression networks. This study is expected to provide considerable resources to facilitate future experimental studies and to uncover ncRNA functions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available