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Sci Rep ; 6: 32453, 2016 09 02.
Article in English | MEDLINE | ID: mdl-27585985

ABSTRACT

The discovery of leptin substantiated the usefulness of a forward genetic approach in elucidating the molecular network regulating energy metabolism. However, no successful dominant screening for obesity has been reported, which may be due to the influence of quantitative trait loci between the screening and counter strains and the low fertility of obese mice. Here, we performed a dominant screening for obesity using C57BL/6 substrains, C57BL/6J and C57BL/6N, with the routine use of in vitro fertilization. The screening of more than 5000 mutagenized mice established two obese pedigrees in which single nucleotide substitutions in Mc4r and Sim1 genes were identified through whole-exome sequencing. The mutation in the Mc4r gene produces a premature stop codon, and the mutant SIM1 protein lacks transcriptional activity, showing that the haploinsufficiency of SIM1 and MC4R results in obesity. We further examined the hypothalamic neuropeptide expressions in the mutant pedigrees and mice with diet-induced obesity, which showed that each obesity mouse model has distinct neuropeptide expression profiles. This forward genetic screening scheme is useful and applicable to any research field in which mouse models work.


Subject(s)
Genes, Dominant , Genetic Predisposition to Disease , Genetic Testing , Mutation/genetics , Obesity/genetics , Amino Acid Sequence , Animals , Base Sequence , Basic Helix-Loop-Helix Transcription Factors/chemistry , Basic Helix-Loop-Helix Transcription Factors/genetics , Chromosome Mapping , Diet , Disease Models, Animal , Female , Gene Expression Regulation , Hypothalamus/metabolism , Luciferases/metabolism , Male , Mice, Inbred C57BL , Mice, Mutant Strains , Neuropeptides/genetics , Neuropeptides/metabolism , Obesity/metabolism , Obesity/pathology , Pedigree , Phenotype , Polymorphism, Single Nucleotide/genetics , Receptor, Melanocortin, Type 4/genetics , Repressor Proteins/chemistry , Repressor Proteins/genetics , Exome Sequencing
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