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NATsDB: Natural Antisense Transcripts DataBase.

Yong Zhang1, Jiongtang Li, Lei Kong

  • 1Center for Bioinformatics, National Laboratory of Protein Engineering and Plant Genetic Engineering, College of Life Sciences, Peking University Beijing 100871, PR China.

Nucleic Acids Research
|November 4, 2006
PubMed
Summary
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Natural antisense transcripts (NATs) regulate gene expression and are linked to diseases. This study identified numerous sense-antisense (SA) gene pairs across species and created NATsDB, a comprehensive database for their study.

Area of Science:

  • Genomics
  • Transcriptomics
  • Bioinformatics

Background:

  • Natural antisense transcripts (NATs) are endogenous RNA molecules that can regulate gene expression.
  • NATs are often transcribed from the opposite strand of their sense gene partners and play roles in various biological processes and diseases.

Purpose of the Study:

  • To identify and catalog cis-encoded exon-overlapping sense-antisense (SA) gene pairs across multiple eukaryotic species.
  • To develop a comprehensive database (NATsDB) for accessing and analyzing these SA gene pairs and related genomic information.

Main Methods:

  • Utilized an improved whole-genome computational pipeline to identify SA gene pairs.
  • Collected and integrated data on gene structure, conservation, expression, and disease association for cataloged genes.

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  • Developed NATsDB with interactive visualization and advanced search functionalities.
  • Main Results:

    • Identified a substantial number of SA gene pairs in humans (7356), mice (6806), flies (1554), and other eukaryotes (total 6534).
    • Established NATsDB, a comprehensive resource containing over 6,500 SA gene pairs, classified into six overlapping patterns.
    • Included extensive annotations such as poly(A) signals, conservation scores, repeat elements, and OMIM disease associations.

    Conclusions:

    • The identified SA gene pairs represent a significant component of eukaryotic genomes.
    • NATsDB provides a valuable, centralized resource for researchers studying the function, regulation, and disease implications of natural antisense transcripts.
    • The database facilitates further investigation into the roles of SA genes in biology and pathology.