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LncBook 2.0: integrating human long non-coding RNAs with multi-omics annotations.

Zhao Li1,2,3, Lin Liu1,2, Changrui Feng1,2,3

  • 1National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

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|November 4, 2022
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Summary
This summary is machine-generated.

LncBook 2.0 enhances the study of human long non-coding RNAs (lncRNAs) by adding new data and features. This updated resource aids researchers in understanding lncRNA functions across diverse biological settings.

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Non-coding RNA Research

Background:

  • Long non-coding RNAs (lncRNAs) play crucial roles in various biological processes.
  • Existing resources for lncRNA research require continuous updates to incorporate new discoveries.
  • LncBook has been a valuable tool for studying human lncRNAs.

Purpose of the Study:

  • To present LncBook 2.0, a significantly updated and expanded resource for human lncRNAs.
  • To provide enhanced annotations and analytical features for lncRNA research.
  • To facilitate deeper understanding of lncRNA functions and interactions.

Main Methods:

  • Incorporation of over 119,000 new transcripts and 9,000 new genes.
  • Analysis of lncRNA gene conservation across 40 vertebrate species.
  • Integration of data on lncRNA-encoded small proteins, expression, DNA methylation, and interactions (protein-lncRNA, miRNA-lncRNA).

Main Results:

  • LncBook 2.0 now contains 95,243 lncRNA genes and 323,950 transcripts.
  • Expanded annotations include conservation features, encoded small proteins, and omics data (expression, methylation).
  • Improved prediction of lncRNA-miRNA interactions and identification of lncRNA-protein interactions.

Conclusions:

  • LncBook 2.0 represents a high-quality, comprehensive resource for human lncRNAs.
  • The updated resource enables advanced research into the functional significance of lncRNAs.
  • Facilitates multi-omics analysis and deciphering of lncRNA roles in diverse biological contexts.