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Comprehensive analysis of coding-lncRNA gene co-expression network uncovers conserved functional lncRNAs in zebrafish
Chen, Wen1; Zhang, Xuan1; Li, Jing1; Huang, Shulan; Xiang, Shuanglin; Hu, Xiang; Liu, Changning1
2018
Conference Name16th Asia Pacific Bioinformatics Conference (APBC) - Genomics
Source PublicationBMC GENOMICS
Volume19
Pages-
Conference DateJAN 15-17, 2018
CountryYokohama, JAPAN
AbstractBackground: Zebrafish is a full-developed model system for studying development processes and human disease. Recent studies of deep sequencing had discovered a large number of long non-coding RNAs (lncRNAs) in zebrafish. However, only few of them had been functionally characterized. Therefore, how to take advantage of the mature zebrafish system to deeply investigate the lncRNAs' function and conservation is really intriguing. Results: We systematically collected and analyzed a series of zebrafish RNA-seq data, then combined them with resources from known database and literatures. As a result, we obtained by far the most complete dataset of zebrafish lncRNAs, containing 13,604 lncRNA genes (21,128 transcripts) in total. Based on that, a co-expression network upon zebrafish coding and lncRNA genes was constructed and analyzed, and used to predict the Gene Ontology (GO) and the KEGG annotation of lncRNA. Meanwhile, we made a conservation analysis on zebrafish lncRNA, identifying 1828 conserved zebrafish lncRNA genes (1890 transcripts) that have their putative mammalian orthologs. We also found that zebrafish lncRNAs play important roles in regulation of the development and function of nervous system; these conserved lncRNAs present a significant sequential and functional conservation, with their mammalian counterparts. Conclusions: By integrative data analysis and construction of coding-lncRNA gene co-expression network, we gained the most comprehensive dataset of zebrafish lncRNAs up to present, as well as their systematic annotations and comprehensive analyses on function and conservation. Our study provides a reliable zebrafish-based platform to deeply explore lncRNA function and mechanism, as well as the lncRNA commonality between zebrafish and human.
KeywordLncRNA Zebrafish Co-expression network Gene ontology KEGG Conservation
Language英语
Document Type会议论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/15120
Collection版纳植物园会议文献
Affiliation1.Hunan Normal Univ, Sch Life Sci, State Key Lab Dev Biol Freshwater Fish, Changsha, Hunan, Peoples R China
2.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Plant Resources & Sustainable Use, Kunming, Yunnan, Peoples R China
Recommended Citation
GB/T 7714
Chen, Wen,Zhang, Xuan,Li, Jing,et al. Comprehensive analysis of coding-lncRNA gene co-expression network uncovers conserved functional lncRNAs in zebrafish[C],2018:-.
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