ArticlePLoS genetics2020
High-throughput discovery of genetic determinants of circadian misalignment.
Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- ASGR1 Deficiency Promotes Liver Fibrosis by Enhancing Pro-Inflammatory Arachidonic Acid Metabolism and ALP Secretion.Immunity, inflammation and disease · 2026Article
- Holding Out for a Model: Rhomboid Superfamily in Vertebrate Development and Disease.Journal of cellular physiology · 2025Review
- The time is now: accounting for time-of-day effects to improve reproducibility and translation of metabolism research.Nature metabolism · 2025Review
- Commentary: The International Mouse Phenotyping Consortium: high-throughput in vivo functional annotation of the mammalian genome.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- IMPC-based screening revealed thatFrontiers in cell and developmental biology · 2024Article
- The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease.Nucleic acids research · 2023Article
- Mouse mutagenesis and phenotyping to generate models of development and disease.Current topics in developmental biology · 2022Review
- Towards organism-level systems biology by next-generation genetics and whole-organ cell profiling.Biophysical reviews · 2021Review
- Advances in mouse genetics for the study of human disease.Human molecular genetics · 2021Review
- An Optimal Time for Treatment-Predicting Circadian Time by Machine Learning and Mathematical Modelling.Cancers · 2020Review
- Simultaneous Assessment of Circadian Rhythms and Sleep in Mice Using Passive Infrared Sensors: A User's Guide.Current protocols in mouse biology · 2020Article
Corrections and comments
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Authors and funding
38 authors.
Funding
Abstract
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.
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Registered trials
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