Efficient protocols and methods for high-throughput utilization of the Collaborative Cross mouse model for dissecting the genetic basis of complex traits  

作　　者：Hanifa J.Abu-Toamih Atamni Fuad A.Iraqi 

机构地区：[1]Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University

出　　处：《Animal Models and Experimental Medicine》2019年第3期137-149,共13页动物模型与实验医学（英文）

基　　金：Hendrech and Eiran Gotwert Fund;Wellcome, Grant/Award Number: 085906/Z/08/Z, 075491/Z/04 and 090532/Z/09/Z;Tel-Aviv University;Israeli Science foundation, Grant/Award Number: 429/09, 961/15 and 1085/18;Binational Science Foundation, Grant/Award Number: 2015077;German Israeli Science Foundation, Grant/Award Number: I-63-410.20-2017;Israeli Cancer Research Fund;Cancer Research Counsel-UK; Cancer Biology Research Center

摘　　要：The Collaborative Cross(CC)mouse model is a next‐generation mouse genetic reference population(GRP)designated for a high‐resolution quantitative trait loci(QTL)mapping of complex traits during health and disease.The CC lines were generated from reciprocal crosses of eight divergent mouse founder strains composed of five classical and three wild‐derived strains.Complex traits are defined to be controlled by variations within multiple genes and the gene/environment interactions.In this article,we introduce and present variety of protocols and results of studying the host response to infectious and chronic diseases,including type 2 diabetes and metabolic diseases,body composition,immune response,colorectal cancer,susceptibility to Aspergillus fumigatus,Klebsiella pneumoniae,Pseudomonas aeruginosa,sepsis,and mixed infections of Porphyromonas gingivalis and Fusobacterium nucleatum,which were conducted at our laboratory using the CC mouse population.These traits are observed at multiple levels of the body systems,including metabolism,body weight,immune profile,susceptibility or resistance to the development and progress of infectious or chronic diseases.Herein,we present full protocols and step‐by‐step methods,implemented in our laboratory for the phenotypic and genotypic characterization of the different CC lines,mapping the gene underlying the host response to these infections and chronic diseases.The CC mouse model is a unique and powerful GRP for dissecting the host genetic architectures underlying complex traits,including chronic and infectious diseases.The Collaborative Cross(CC) mouse model is a next-generation mouse genetic reference population(GRP) designated for a high-resolution quantitative trait loci(QTL) mapping of complex traits during health and disease. The CC lines were generated from reciprocal crosses of eight divergent mouse founder strains composed of five classical and three wild-derived strains. Complex traits are defined to be controlled by variations within multiple genes and the gene/environment interactions. In this article, we introduce and present variety of protocols and results of studying the host response to infectious and chronic diseases, including type 2 diabetes and metabolic diseases, body composition, immune response, colorectal cancer, susceptibility to Aspergillus fumigatus, Klebsiella pneumoniae, Pseudomonas aeruginosa, sepsis, and mixed infections of Porphyromonas gingivalis and Fusobacterium nucleatum, which were conducted at our laboratory using the CC mouse population. These traits are observed at multiple levels of the body systems, including metabolism, body weight, immune profile, susceptibility or resistance to the development and progress of infectious or chronic diseases. Herein, we present full protocols and step-by-step methods, implemented in our laboratory for the phenotypic and genotypic characterization of the different CC lines, mapping the gene underlying the host response to these infections and chronic diseases. The CC mouse model is a unique and powerful GRP for dissecting the host genetic architectures underlying complex traits, including chronic and infectious diseases.

关 键 词：COLLABORATIVE Cross(CC)mouse model complex traits genetic reference population(GRP) infectious and chronic diseases quantitative TRAIT loci(QTL) 

分 类 号：S51[农业科学—作物学]