CGDB: a database of circadian genes in eukaryotes

被引:44
|
作者
Li, Shujing [1 ,2 ,3 ]
Shui, Ke [1 ,2 ]
Zhang, Ying [1 ,2 ]
Lv, Yongqiang [1 ,2 ]
Deng, Wankun [1 ,2 ]
Ullah, Shahid [1 ,2 ]
Zhang, Luoying [1 ,2 ]
Xue, Yu [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Minist Educ, Key Lab Mol Biophys, Wuhan 430074, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Collaborat Innovat Ctr Brain Sci, Wuhan 430074, Hubei, Peoples R China
[3] Bengbu Med Coll, Dept Life Sci, Bengbu 233030, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
EXPRESSION; CLOCK; GENETICS; RHYTHMS; TIME; ALGORITHM; CANCER; SLEEP; CYCLE; DIEL;
D O I
10.1093/nar/gkw1028
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We report a database of circadian genes in eukaryotes (CGDB, http://cgdb.biocuckoo.org), containing similar to 73 000 circadian-related genes in 68 animals, 39 plants and 41 fungi. Circadian rhythm is similar to 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 similar to 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.
引用
收藏
页码:D397 / D403
页数:7
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