@article{ecdb63507d544a359316d506dda8c19b,
title = "Mouse phenogenomics: The fast track to {"}systems metabolism{"}",
abstract = "With the completion of the many genomes, genetics is positioned to meet physiology. In this review, we summarize the coming of {"}systems metabolism{"} in mammals through the use of the mouse, as a model system to study metabolism. Building on mouse genetics with increasingly sophisticated clinical and molecular phenotyping strategies has enabled scientists to now tackle complex biomedical questions, such as those related to the pathogenesis of the common metabolic disorders. The ultimate goal of such strategies will be to mimic human metabolism with the click of a mouse.",
author = "Argmann, {Carmen A.} and Pierre Chambon and Johan Auwerx",
note = "Funding Information: We thank Robert Williams from GeneNetwork for his invaluable input and assistance and Alan Attie, Christina Kendziorski, Brian Yandell, and Hong Lan at the University of Wisconsin-Madison for the B6XBTBRF2-ob/ob liver mRNA M430AB array data. We also thank members of the Auwerx lab for their helpful discussions and CNRS, Inserm, Hopitaux Universitaires de Strasbourg, European Union (QLRT-2001-00930 and LSHM-CT-2004-512013), and the NIH (POI-DK59820-01 and ROI-DK067320-01) for grant support. C.A.A. is supported by a HSFC fellowship. ",
year = "2005",
month = dec,
doi = "10.1016/j.cmet.2005.11.002",
language = "English",
volume = "2",
pages = "349--360",
journal = "Cell Metabolism",
issn = "1550-4131",
publisher = "Cell Press",
number = "6",
}