4.8 Article

PLncDB V2.0: a comprehensive encyclopedia of plant long noncoding RNAs

Journal

NUCLEIC ACIDS RESEARCH
Volume 49, Issue D1, Pages D1489-D1495

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa910

Keywords

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Funding

  1. Zhengzhou Tobacco Research Institute [CNTC: 110201 901024(SJ-03), 110202001020(JY-03), 110201601033(JY-0 7)]
  2. China Association for Science and Technology [Young Elite Scientists Sponsorship Program] [2016QNRC001]
  3. National Research Foundation of Singapore [RSSS grant] [NRF-RSSS-002]
  4. China Association for Science and Technology

Ask authors/readers for more resources

The upgrade of the Plant Long noncoding RNA Database (PLncDB) provides comprehensive information on 1,246,372 lncRNAs from 80 plant species, incorporating data from other resources. Users can visualize expression patterns and epigenetic signals using various tools, and explore targets and regulatory networks of lncRNAs. PLncDB V2.0 serves as a valuable resource for the plant lncRNA community and data-driven research.
Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides with little or no protein coding potential. The expanding list of lncRNAs and accumulating evidence of their functions in plants have necessitated the creation of a comprehensive database for lncRNA research. However, currently available plant lncRNA databases have some deficiencies, including the lack of lncRNA data from some model plants, uneven annotation standards, a lack of visualization for expression patterns, and the absence of epigenetic information. To overcome these problems, we upgraded our Plant Long noncoding RNA Database (PLncDB, http://plncdb. tobaccodb.org/), which was based on a uniform annotation pipeline. PLncDB V2.0 currently contains 1 246 372 lncRNAs for 80 plant species based on 13 834 RNA-Seq datasets, integrating lncRNA information from four other resources including EVLncRNAs, RNAcentral and etc. Expression patterns and epigenetic signals can be visualized using multiple tools (JBrowse, eFP Browser and EPexplorer). Targets and regulatory networks for lncRNAs are also provided for function exploration. In addition, PLncDB V2.0 is hierarchical and user-friendly and has five builtin search engines. We believe PLncDB V2.0 is useful for the plant lncRNA community and data mining studies and provides a comprehensive resource for data-driven lncRNA research in plants.

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