Asunto(s)
Biología Computacional/métodos , Procesamiento de Imagen Asistido por Computador/métodos , Metadatos , Algoritmos , Animales , Congresos como Asunto , Microscopía por Crioelectrón/métodos , Minería de Datos/métodos , Bases de Datos Factuales , Diagnóstico por Imagen/métodos , Humanos , Microscopía , Programas InformáticosRESUMEN
Circadian systems provide a fitness advantage to organisms by allowing them to adapt to daily changes of environmental cues, such as light/dark cycles. The molecular mechanism underlying the circadian clock has been well characterized. However, how internal circadian clocks are entrained with regular daily light/dark cycles remains unclear. By collecting and analyzing indirect calorimetry (IC) data from more than 2000 wild-type mice available from the International Mouse Phenotyping Consortium (IMPC), we show that the onset time and peak phase of activity and food intake rhythms are reliable parameters for screening defects of circadian misalignment. We developed a machine learning algorithm to quantify these two parameters in our misalignment screen (SyncScreener) with existing datasets and used it to screen 750 mutant mouse lines from five IMPC phenotyping centres. Mutants of five genes (Slc7a11, Rhbdl1, Spop, Ctc1 and Oxtr) were found to be associated with altered patterns of activity or food intake. By further studying the Slc7a11tm1a/tm1a mice, we confirmed its advanced activity phase phenotype in response to a simulated jetlag and skeleton photoperiod stimuli. Disruption of Slc7a11 affected the intercellular communication in the suprachiasmatic nucleus, suggesting a defect in synchronization of clock neurons. Our study has established a systematic phenotype analysis approach that can be used to uncover the mechanism of circadian entrainment in mice.
Asunto(s)
Ritmo Circadiano/genética , Sistema de Transporte de Aminoácidos y+/genética , Animales , Aprendizaje Automático , Masculino , Ratones , Ratones Endogámicos C57BL , Mutación , Receptores de Oxitocina/genética , Proteínas Represoras/genética , Serina Endopeptidasas/genética , Proteínas de Unión a Telómeros/genética , Complejos de Ubiquitina-Proteína Ligasa/genéticaRESUMEN
The Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines were developed to address the lack of reproducibility in biomedical animal studies and improve the communication of research findings. While intended to guide the preparation of peer-reviewed manuscripts, the principles of transparent reporting are also fundamental for in vivo databases. Here, we describe the benefits and challenges of applying the guidelines for the International Mouse Phenotyping Consortium (IMPC), whose goal is to produce and phenotype 20,000 knockout mouse strains in a reproducible manner across ten research centres. In addition to ensuring the transparency and reproducibility of the IMPC, the solutions to the challenges of applying the ARRIVE guidelines in the context of IMPC will provide a resource to help guide similar initiatives in the future.
