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  • 1
    Publication Date: 2013-07-23
    Description: Melanocortin receptor accessory proteins (MRAPs) modulate signaling of melanocortin receptors in vitro. To investigate the physiological role of brain-expressed melanocortin 2 receptor accessory protein 2 (MRAP2), we characterized mice with whole-body and brain-specific targeted deletion of Mrap2, both of which develop severe obesity at a young age. Mrap2 interacts directly with melanocortin 4 receptor (Mc4r), a protein previously implicated in mammalian obesity, and it enhances Mc4r-mediated generation of the second messenger cyclic adenosine monophosphate, suggesting that alterations in Mc4r signaling may be one mechanism underlying the association between Mrap2 disruption and obesity. In a study of humans with severe, early-onset obesity, we found four rare, potentially pathogenic genetic variants in MRAP2, suggesting that the gene may also contribute to body weight regulation in humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788688/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788688/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Asai, Masato -- Ramachandrappa, Shwetha -- Joachim, Maria -- Shen, Yuan -- Zhang, Rong -- Nuthalapati, Nikhil -- Ramanathan, Visali -- Strochlic, David E -- Ferket, Peter -- Linhart, Kirsten -- Ho, Caroline -- Novoselova, Tatiana V -- Garg, Sumedha -- Ridderstrale, Martin -- Marcus, Claude -- Hirschhorn, Joel N -- Keogh, Julia M -- O'Rahilly, Stephen -- Chan, Li F -- Clark, Adrian J -- Farooqi, I Sadaf -- Majzoub, Joseph A -- 098497/Wellcome Trust/United Kingdom -- G0802796/Medical Research Council/United Kingdom -- G0900554/Medical Research Council/United Kingdom -- G9824984/Medical Research Council/United Kingdom -- P30-HD18655/HD/NICHD NIH HHS/ -- R01 DK075787/DK/NIDDK NIH HHS/ -- R01DK075787/DK/NIDDK NIH HHS/ -- T32 DK007699/DK/NIDDK NIH HHS/ -- T32 MH020017/MH/NIMH NIH HHS/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2013 Jul 19;341(6143):275-8. doi: 10.1126/science.1233000.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Endocrinology, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23869016" target="_blank"〉PubMed〈/a〉
    Keywords: Adolescent ; Animals ; Body Mass Index ; Body Weight/*genetics ; Carrier Proteins/*genetics ; Child ; Child, Preschool ; Energy Metabolism/genetics ; Female ; Gene Deletion ; Humans ; Male ; Mice ; Mice, Knockout ; Obesity/*genetics/metabolism ; Receptor Activity-Modifying Proteins/genetics/*metabolism ; Receptor, Melanocortin, Type 4/genetics/*metabolism ; Young Adult
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Numerical Linear Algebra with Applications 3 (1996), S. 391-411 
    ISSN: 1070-5325
    Keywords: finite difference discretization ; fast adaptive composite grid method ; convergence rate ; Engineering ; Engineering General
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Mathematics
    Notes: The fast adaptive composite grid (FAC) method is an iterative method for solving discrete boundary value problems on composite grids. McCormick introduced the method in [8] and considered the convergence behaviour for discrete problems resulting from finite volume element discretization on composite grids. In this paper we consider discrete problems resulting from finite difference discretization on composite grids. We distinguish between two obvious discretization approaches at the grid points on the interfaces between fine and coarse subgrids. The FAC method for solving such discrete problems is described. In the FAC method several intergrid transfer operators appear. We study how the convergence behaviour depends on these intergrid transfer operators. Based on theoretical insights, (quasi-)optimal intergrid transfer operators are derived. Numerical results illustrate the fast convergence of the FAC method using these intergrid transfer operators.
    Additional Material: 3 Ill.
    Type of Medium: Electronic Resource
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