Citations: 1

z-index: 0.5

Basic information
Short name CGDB
Full name Circadian Gene DataBase
Description The CGDB is an online resource containing over 72,800 genes in more than 148 organisms that exhibit (or may exhibit) daily oscillation at the transcript level.
Year founded 2016
Last update & version 2016-06-01 v1.0
Availability Free to all users
Contact information
University/Institution hosted Huazhong University of Science and Technology
Address No. 1037, Luoyu Road
City Wuhan
Province/State Hubei
Country/Region China
Contact name Yu Xue
Contact email
Data information
Data object
Data type
  • DNA
Database category
Major organism
  • circadian clock
  • post-translational modification
  • CGDB: a database of circadian genes in eukaryotes. [PMID: 27789706]
    Shujing Li, Ke Shui, Ying Zhang, Yongqiang Lv, Wankun Deng, Shahid Ullah, Luoying Zhang, Yu Xue

    We report a database of circadian genes in eukaryotes (CGDB,, containing ∼73 000 circadian-related genes in 68 animals, 39 plants and 41 fungi. Circadian rhythm is ∼24 h rhythm in behavioral and physiological processes that exists in almost all organisms on the earth. Defects in the circadian system are highly associated with a number of diseases such as cancers. Although several databases have been established for rhythmically expressed genes, a comprehensive database of cycling genes across phyla is still lacking. From the literature, we collected 1382 genes of which transcript level oscillations were validated using methods such as RT-PCR, northern blot and in situ hybridization. Given that many genes exhibit different oscillatory patterns in different tissues/cells within an organism, we have included information regarding the phase and amplitude of the oscillation, as well as the tissue/cells in which the oscillation was identified. Using these well characterized cycling genes, we have then conducted an orthologous search and identified ∼45 000 potential cycling genes from 148 eukaryotes. Given that significant effort has been devoted to identifying cycling genes by transcriptome profiling, we have also incorporated these results, a total of over 26 000 genes, into our database. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

    Nucleic acids research 2017:45(D1)

    1 Citations (from Europe PMC, 2019-01-26)

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Record metadata

  • Created on: 2017-02-15
    • ***shx@*** [2017-02-15]

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