Research Papers:

LncRNA ontology: inferring lncRNA functions based on chromatin states and expression patterns

Yongsheng Li, Hong Chen, Tao Pan, Chunjie Jiang, Zheng Zhao, Zishan Wang, Jinwen Zhang, Juan Xu and Xia Li _

PDF  |  HTML  |  Supplementary Files  |  How to cite

Oncotarget. 2015; 6:39793-39805. https://doi.org/10.18632/oncotarget.5794

Metrics: PDF 3265 views  |   HTML 2927 views  |   ?  


Yongsheng Li1,*, Hong Chen1,*, Tao Pan1,*, Chunjie Jiang1, Zheng Zhao1, Zishan Wang1, Jinwen Zhang1, Juan Xu1 and Xia Li1

1 College of Bioinformatics Science and Technology and Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Nangang, Harbin, Heilongjiang, China

* These authors should be regarded as joint First Authors

Correspondence to:

Xia Li, email:

Juan Xu, email:

Keywords: long non-coding RNA, chromatin pattern, lncRNA ontology, lncRNA functions, integrated model

Received: July 06, 2015 Accepted: September 05, 2015 Published: September 22, 2015


Accumulating evidences suggest that long non-coding RNAs (lncRNAs) perform important functions. Genome-wide chromatin-states area rich source of information about cellular state, yielding insights beyond what is typically obtained by transcriptome profiling. We propose an integrative method for genome-wide functional predictions of lncRNAs by combining chromatin states data with gene expression patterns. We first validated the method using protein-coding genes with known function annotations. Our validation results indicated that our integrative method performs better than co-expression analysis, and is accurate across different conditions. Next, by applying the integrative model genome-wide, we predicted the probable functions for more than 97% of human lncRNAs. The putative functions inferred by our method match with previously annotated by the targets of lncRNAs. Moreover, the linkage from the cellular processes influenced by cancer-associated lncRNAs to the cancer hallmarks provided a “lncRNA point-of-view” on tumor biology. Our approach provides a functional annotation of the lncRNAs, which we developed into a web-based application, LncRNA Ontology, to provide visualization, analysis, and downloading of lncRNA putative functions.

Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 5794