EVLncRNAs: a manually curated database for long non-coding RNAs validated by low-throughput experiments

被引:59
作者
Zhou, Bailing [1 ,2 ]
Zhao, Huiying [3 ]
Yu, Jiafeng [1 ,2 ]
Guo, Chengang [1 ,2 ]
Dou, Xianghua [1 ,2 ]
Song, Feng [1 ,2 ]
Hu, Guodong [1 ,2 ]
Cao, Zanxia [1 ,2 ]
Qu, Yuanxu [4 ]
Yang, Yuedong [5 ,6 ]
Zhou, Yaoqi [1 ,5 ,6 ]
Wang, Jihua [1 ,2 ]
机构
[1] Dezhou Univ, Inst Biophys, Shandong Prov Key Lab Biophys, Dezhou 253023, Peoples R China
[2] Dezhou Univ, Coll Phys & Elect Informat, Dezhou 253023, Peoples R China
[3] Queensland Univ Technol, Inst Hlth & Biomed Innovat, Brisbane, Qld 4059, Australia
[4] Capital Med Univ, Beijing Tiantan Hosp, Dept Surg, Beijing 100069, Peoples R China
[5] Griffith Univ, Inst Glyc, Gold Coast, Qld 4222, Australia
[6] Griffith Univ, Sch Informat & Commun Technol, Gold Coast, Qld 4222, Australia
基金
英国医学研究理事会; 中国国家自然科学基金;
关键词
LNCRNAS; TRANSCRIPTION; PRODUCT; MIRNAS; GENE; MYC;
D O I
10.1093/nar/gkx677
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
Long non-coding RNAs (lncRNAs) play important functional roles in various biological processes. Early databases were utilized to deposit all lncRNA candidates produced by high-throughput experimental and/or computational techniques to facilitate classification, assessment and validation. As more lncRNAs are validated by low-throughput experiments, several databases were established for experimentally validated lncRNAs. However, these databases are small in scale (with a few hundreds of lncRNAs only) and specific in their focuses (plants, diseases or interactions). Thus, it is highly desirable to have a comprehensive dataset for experimentally validated lncRNAs as a central repository for all of their structures, functions and phenotypes. Here, we established EVLncRNAs by curating lncRNAs validated by low-throughput experiments (up to 1May 2016) and integrating specific databases (lncR-NAdb, LncRANDisease, Lnc2Cancer and PLNIncR-Base) with additional functional and disease-specific information not covered previously. The current version of EVLncRNAs contains 1543 lncRNAs from 77 species that is 2.9 times larger than the current largest database for experimentally validated lncRNAs. Seventy-four percent lncRNA entries are partially or completely new, comparing to all existing experimentally validated databases. The established database allows users to browse, search and download as well as to submit experimentally validated lncRNAs. The database is available at http://biophy.dzu.edu.cn/EVLncRNAs.
引用
收藏
页码:D100 / D105
页数:6
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