Non-coding RNAs (ncRNAs), especially for microRNAs (miRNAs), have b een widely studied as cr ucial negative regulatory molecules. Long non- coding RNAs (lncRNAs) also have attracted the attention of researchers due to their potential contribution in multiple essential biological processes. To under- stand th e p otential in teractions between miRNAs, l ncRNAs and m RNAs a nd their p otential r oles i n tumorigenesis, w e reported an i ntegrative an alysis t o predict clustered ncRNA-mRNA with consistent functions, and predict clusters at the single molecule level. The method aims to discover those potential clus- ters o f coding-non-coding R NAs t hat maybe c ontribute t o oc currence and d e- velopment of human di seases. B ased on e xpression profiles and abnormal ex- pression profiles of m iRNAs, l ncRNAs and m RNAs, co -expression network analysis can be performed at the single molecule and multiple RNA molecules, respectively. Some cl ustered R NAs at t he s ingle R NA m olecule can be ob- tained, an d t hese m embers al ways h ave co nsistent f unctions. Although t hese non-coding R NAs or c oding RNAs ar e an alyzed at t he s ingle m olecule l evel, they have close functional relationships, especially between miRNAs and their target mRNAs. Therefore, based on their potential functional and sequence rela- tionships, further coding-non-coding co-expression network can be constructed based o n i ntegrative expression a nd f unctional analysis acr oss d ifferent m ole- cule levels. The comparison analysis of the single and multiple molecules will provide m ore i nformation t o pr edict i nteraction between miRNAs a nd lncRNAs, ncRNAs and mRNAs. Furthermore, based on special miRNA group
['Li Guo', 'Yang Zhao', 'Sheng Yang', 'Hui Zhang', 'Feng Chen']
An Integrative Analysis of ncRNA-mRNA Using Co-expression Network to Discover Potential Contributions of Coding-non-coding RNA Clusters.