Genomics and proteomics in nutrition by Berdanier C., Moustaid-Moussa N. (eds.)

By Berdanier C., Moustaid-Moussa N. (eds.)

With contributions from sixty six world-renowned specialists at the topic, Genomics And Proteomics In nutrients makes a speciality of the impact of genetic expression on protein construction, setting up hyperlinks among gene expression and foodstuff, the impression of micro- and macronutrients on mobile homeostasis, and the connection among vitamin, genetic predisposition, and human illness. exhibits how bioinformatics and practical genomic databases can remodel molecular biology examine utilizing a yeast ELO2/ human HELO1 protein cloning instance. A state of the art reference, Genomics and Proteomics in meals finds new purposes and insights in meals technology and explores instruments for nutrients learn within the post-genomic period.

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An adoption study of human obesity. N Engl J Med 1986; 314:193–198. 5. Stunkard AJ, Foch TT, Hrubec Z. A twin study of human obesity. JAMA 1986; 256:51–54. 6. Koeppen-Schomerus G, Wardle J, Plomin R. A genetic analysis of weight and overweight in 4year-old twin pairs. Int J Obes Relat Metab Disord 2001; 25:838–844. 7. Elbein SC. The genetics of human noninsulin-dependent (type 2) diabetes mellitus. J Nutr 1997; 127:1891S-1896S. 8. Elbein SC. Perspective: the search for genes for type 2 diabetes in the post-genome era.

Heat loss (kcal/day) measured by individual animal direct calorimetry differed by 37% of the mean between MH and ML mice (112). The MH mice consumed more energy than the ML and the MH mice were leaner than the ML (112). 3% (112). This difference was exaggerated with high-fat diet feeding (112). Genetic analysis using F2 progeny from an intercross of F1s of MH and B6 mice detected four QTLs controlling heat loss on Chrs 1, 2, 3, and 7, respectively, and the QTL on Chr 1 was confirmed in an F2 population from a separate cross between MH and ML mice (113).

However, if one or more of the genetic alterations causing the disease also causes disregulation of gene expression, this too should be detectable by microarray analysis. This approach has proven quite useful in the recent identification of a QTL for hypertension (59). THQTL, by marker-assisted backcrossing. Quantitative trait loci for obesity and type II diabetes in rodents 23 Diabetic TH mouse is crossed to normal B6 mouse, and the resultant F1 mice are backcrossed to B6. Heterozygotes for the QTL are selected using flanking markers (shown as M3 and M4) and backcrossed again to B6.

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