RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation

被引:78
作者
Cui, Tianyu [1 ]
Dou, Yiying [1 ]
Tan, Puwen [1 ]
Ni, Zhen [2 ]
Liu, Tianyuan [1 ]
Wang, DuoLin [3 ]
Huang, Yan [4 ]
Cai, Kaican [2 ]
Zhao, Xiaoyang [5 ]
Xu, Dong [3 ]
Lin, Hao [6 ]
Wang, Dong [1 ,7 ]
机构
[1] Southern Med Univ, Sch Basic Med Sci, Dept Bioinformat, Guangzhou 510515, Peoples R China
[2] Southern Med Univ, Nanfang Hosp, Dept Thorac Surg, Guangzhou 510515, Peoples R China
[3] Univ Missouri, Bond Life Sci Ctr, Dept Elect Engn & Comp Sci, Columbia, MO 65211 USA
[4] Southern Med Univ, Shunde Hosp, Peoples Hosp Shunde Foshan 1, Foshan 528308, Peoples R China
[5] Southern Med Univ, Sch Basic Med Sci, Dept Dev Biol, State Key Lab Organ Failure Res, Guangzhou 510515, Peoples R China
[6] Univ Elect Sci & Technol China, Ctr Informat Biol, Chengdu 611731, Peoples R China
[7] Southern Med Univ, Dermatol Hosp, Guangzhou 510091, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
LONG NONCODING RNAS; MESSENGER-RNA; PROTEIN LOCALIZATION; INFORMATION RESOURCE; DATABASE; REVEALS;
D O I
10.1093/nar/gkab825
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Resolving the spatial distribution of the transcriptome at a subcellular level can increase our understanding of biology and diseases. To facilitate studies of biological functions and molecular mechanisms in the transcriptome, we updated RNALocate, a resource for RNA subcellular localization analysis that is freely accessible at http://www.rnalocate.org/ or http://www.rna-society.org/rnalocate/. Compared to RNALocate v1.0, the new features in version 2.0 include (i) expansion of the data sources and the coverage of species; (ii) incorporation and integration of RNA-seq datasets containing information about subcellular localization; (iii) addition and reorganization of RNA information (RNA subcellular localization conditions and descriptive figures for method, RNA homology information, RNA interaction and ncRNA disease information) and (iv) three additional prediction tools: DM3Loc, iLoc-lncRNA and iLoc-mRNA. Overall, RNALocate v2.0 provides a comprehensive RNA subcellular localization resource for researchers to deconvolute the highly complex architecture of the cell.
引用
收藏
页码:D333 / D339
页数:7
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