Large-scale prediction of long non-coding RNA functions in a coding–non-coding gene co-expression network

Qi Liao(Institute of Computing Technology), Changning Liu(Chinese Academy of Sciences), Xiongying Yuan(Chinese Academy of Sciences), Shuli Kang(Chinese Academy of Sciences), Ruoyu Miao(Chinese Academy of Sciences), Hui Xiao(Chinese Academy of Sciences), Guoguang Zhao(Chinese Academy of Sciences), Haitao Luo(Chinese Academy of Sciences), Dechao Bu(Chinese Academy of Sciences), Haitao Zhao(Chinese Academy of Sciences), Geir Skogerbø(Chinese Academy of Sciences), Zhongdao Wu(Chinese Academy of Sciences), Yi Zhao(Chinese Academy of Sciences)
Nucleic Acids Research
January 18, 2011
Cited by 609Open Access
Full Text

Abstract

Although accumulating evidence has provided insight into the various functions of long-non-coding RNAs (lncRNAs), the exact functions of the majority of such transcripts are still unknown. Here, we report the first computational annotation of lncRNA functions based on public microarray expression profiles. A coding-non-coding gene co-expression (CNC) network was constructed from re-annotated Affymetrix Mouse Genome Array data. Probable functions for altogether 340 lncRNAs were predicted based on topological or other network characteristics, such as module sharing, association with network hubs and combinations of co-expression and genomic adjacency. The functions annotated to the lncRNAs mainly involve organ or tissue development (e.g. neuron, eye and muscle development), cellular transport (e.g. neuronal transport and sodium ion, acid or lipid transport) or metabolic processes (e.g. involving macromolecules, phosphocreatine and tyrosine).


Related Papers

No related papers found

Powered by citation graph analysis