CGDB: a database of circadian genes in eukaryotes

Area of Science:

• Genomics
• Chronobiology
• Molecular Biology

Background:

• Circadian rhythms, approximately 24-hour cycles, regulate physiological and behavioral processes in most organisms.
• Disruptions in the circadian system are linked to diseases, including cancers.
• Existing databases lack a comprehensive collection of cycling genes across different phyla.

Purpose of the Study:

• To create a comprehensive database of circadian-related genes in eukaryotes.
• To provide a centralized resource for researchers studying circadian rhythms.
• To facilitate the investigation of the role of circadian genes in health and disease.

Main Methods:

• Compiled 1382 validated cycling genes from literature, including oscillation phase, amplitude, and tissue specificity.
• Performed orthologous searches to identify approximately 45,000 potential cycling genes in 148 eukaryotic species.
• Integrated over 26,000 cycling genes identified through transcriptome profiling.

Main Results:

• Established the Circadian Genes Database (CGDB) with approximately 73,000 circadian-related genes from animals, plants, and fungi.
• The database includes validated cycling genes with detailed oscillation characteristics.
• Incorporated a large number of potential cycling genes identified via orthology and transcriptome data.

Conclusions:

• The CGDB serves as a valuable, comprehensive resource for eukaryotic circadian gene research.
• This database will aid in understanding circadian biology and its implications for human health.
• Facilitates further exploration of circadian rhythm mechanisms and dysregulation.