Exploiting human and mouse transcriptomic data: Identification of circadian genes and pathways influencing health.
Bioessays
; 37(5): 544-56, 2015 May.
Article
en En
| MEDLINE
| ID: mdl-25772847
ABSTRACT
The power of the application of bioinformatics across multiple publicly available transcriptomic data sets was explored. Using 19 human and mouse circadian transcriptomic data sets, we found that NR1D1 and NR1D2 which encode heme-responsive nuclear receptors are the most rhythmic transcripts across sleep conditions and tissues suggesting that they are at the core of circadian rhythm generation. Analyzes of human transcriptomic data show that a core set of transcripts related to processes including immune function, glucocorticoid signalling, and lipid metabolism is rhythmically expressed independently of the sleep-wake cycle. We also identify key transcripts associated with transcription and translation that are disrupted by sleep manipulations, and through network analysis identify putative mechanisms underlying the adverse health outcomes associated with sleep disruption, such as diabetes and cancer. Comparative bioinformatics applied to existing and future data sets will be a powerful tool for the identification of core circadian- and sleep-dependent molecules.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Proteínas Nucleares
/
Ritmo Circadiano
Tipo de estudio:
Diagnostic_studies
Límite:
Animals
/
Humans
Idioma:
En
Año:
2015
Tipo del documento:
Article