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2007 | 48 | 2 |

Tytuł artykułu

Differentially expressed genes in adipose tissues of high body weight-selected [obese] and unselected [lean] mouse lines

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Recently, quantitative trait loci (QTLs) for body weight and obesity have been mapped in an intercross population between the high body weight-selected mouse line DU6i and the inbred line DBA/2. Most QTLs were highly significant, but had small effects only. Under the hypothesis that small-effect QTLs might result from changes in gene activity, our strategy to identify candidate genes for the observed effects was directed towards the identification of differentially expressed genes. Therefore, here we compare the transcription profile of about 11 000 genes in epididymal fat tissues of males of two high body weight-selected (DU6 and DU6i) and two unselected mouse lines (DUKs and DBA/2). For the hybridisation of GeneChips, we used pooled samples of 20 individual mice. By pair-wise comparisons between selected and unselected mouse lines, a set of 77 genes was identified representing genes whose level of expression differed between obese and lean mouse strains. According to the functional classification of genes, 69 differentially expressed genes were involved in regulatory and metabolic pathways, cell division, cell stability, or immune response, and thus might have an effect on body weight and fat accumulation. 14 out of these genes, occur in QTL regions for body weight or abdominal fat weight. Further analyses are necessary to discriminate between genes directly causing QTL effects and indirectly regulated differentially expressed genes.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

48

Numer

2

Opis fizyczny

p.133-143,fig.,ref.

Twórcy

autor
  • Institute for Animal Sciences, Humboldt-Universitat zu Berlin, Invalidenstrase 42, 10115 Berlin, Germany
  • Research Institute for the Biology of Farm Animals, Wilhelm-Stahl-Allee, Dummerstorf, Germany
autor
  • Institute for Immunology, University of Rostock, Schillingallee, Rostock, Germany
autor
  • Institute for Immunology, University of Rostock, Schillingallee, Rostock, Germany
autor
  • Institute for Immunology, University of Rostock, Schillingallee, Rostock, Germany
  • Institute for Animal Sciences, Humboldt-Universitat zu Berlin, Invalidenstrase 42, 10115 Berlin, Germany
  • Research Institute for the Biology of Farm Animals, Wilhelm-Stahl-Allee, Dummerstorf, Germany

Bibliografia

  • Anunciado RV, Nishimura M, Mori M, Ishikawa A, Tanaka S, Horio F, et al. 2001. Quantitative trait loci for body weight in the intercross between SM/J and A/J mice. Exp Anim 50: 319-324.
  • Bevova MR, Aulchenko YS, Aksu S, Renne U, Brockmann GA, 2006. Chromosome-wise dissection of the genome of the extremely big mouse line DU6i. Genetics 172: 401-410.
  • Boeuf S, Klingenspor M, Van Hal NL, Schneider T, Keijer J, Klaus S, 2001. Differential gene expression in white and brown preadipocytes. Physiol Genomics 7: 15-25.
  • Brockmann GA, Haley CS, Renne U, Knott SA, Schwerin M, 1998. QTLs affecting body weight and fatness from a mouse line selected for extreme high growth. Genetics 150: 369-381.
  • Brockmann GA, Kratzsch J, Haley CS, Renne U, Schwerin M, Karle S, 2000. Single QTL effects, epistasis, and pleiotropy account for two-thirds of the phenotypic F2 variance of growth and obesity in DU6i x DBA/2 mice. Genome Res 10: 1941-1957.
  • Brockmann GA, Haley CS, Wolf E, Karle S, Kratzsch J, Renne U, 2001. Genome-wide search for loci controlling serum IGF binding protein levels of mice. FASEB J 15: 978-987.
  • Brockmann GA, Bevova MR, 2002. Using mouse models to dissect the genetics of obesity. Trends Genet 18: 367-376.
  • Brockmann GA, Karatayli E, Haley CS, Renne U, Rottmann OJ, Karle S, 2004. QTLs for pre- and post-weaning body weight and body composition in selected mice. Mamm Genome 15: 593-609.
  • Bünger L, Herrendörfer G, Renne U, 1990. Results of long-term selection for growth traits in laboratory mice. Proceedings of the 4th World Congress on Genetics Applied to Livestock Production, Univ. Edinburgh, Edinburgh, Scotland 13: 321-324.
  • Bünger L, Laidlaw A, Bulfield G, Eisen EJ, Medrano JF, Bradford GE, et al. 2001. Inbred lines of mice derived from long-term growth selected lines: unique resources for mapping growth genes. Mamm Genome 12: 678-686.
  • Cheverud JM, 1996. Quantitative trait loci for murine growth. Genetics 142: 1305-1319.
  • Chomczynski P, Sacchi N, 1987. Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction. Anal Biochem 162: 156-159.
  • Ding K, Kullo IJ, 2006. Molecular evolution of 5' flanking regions of 87 candidate genes for atherosclerotic cardiovascular disease. Genet Epidemiol 30: 557-559.
  • Farooqi IS, O'Rahilly S, 2000. Recent advances in the genetics of severe childhood obesity. Arch Dis Child 83: 31-34.
  • Hanson RL, Ehm MG, Pettitt DJ, Prochazka M, Thompson DB, Timberlake D, et al. 1998. An autosomal genomic scan for loci linked to type II diabetes mellitus and body-mass index in Pima Indians. Am J Hum Genet 63: 1130-1138.
  • Kamath RS, Fraser AG, Dong Y, Poulin G, Durbin R, Gotta M, et al. 2003. Systematic functional analysis of the Caenorhabditis elegans genome using RNAi. Nature 421: 231-237.
  • Kendziorski C, Irizarry RA, Chen KS, Haag JD, Gould MN, 2005. On the utility of pooling biological samples in microarray experiments. Proc Natl Acad Sci USA 102: 4252-4257.
  • Mackay TFC, 2001. The genetic architecture of quantitative traits. Annu Rev Genet 35: 303-339.
  • Martin D, Brun C, Remy E, Moure P, Thieffry D, Jack B, 2004. GO ToolBox: functional investigation of gene datasets based on Gene Ontology. Genome Biol 5: R101.
  • Montague CT, Farooqi IS, Whitehead JP, Soos MA, Rau H, Wareham NJ, et al. 1997. Congenital leptin deficiency is associated with severe early-onset obesity in humans. Nature 387: 903-908.
  • Nadler ST, Stoehr JP, Schueler KL, Tanimoto G, Yandell BS, Attie AD, 2000. The expression of adipogenic genes is decreased in obesity and diabetes mellitus. Proc Natl Acad Sci USA 97: 11371-11376.
  • Pomp D, Allan MF, Wesolowski SR, 2004. Quantitative genomics: exploring the genetic architecture of complex trait predisposition. J Anim Sci 82: 300-312.
  • Rice T, Sjostrom CD, Perusse L, Rao DC, Sjostrom L, Bouchard C, 1999. Segregation analysis of body mass index in a large sample selected for obesity: The Swedish Obese Subjects study. Obes Res 7: 246-255.
  • Schüler L, 1985. Mouse strain Fzt-Du and its use as model in animal breeding research. Arch Tierz 28: 357-363.
  • Timtchenko D, Kratzsch J, Sauerwein H, Wegner J, Souffrant WB, Schwerin M, 1999. Fat storage capacity in growth-selected and control mouse lines is associated with line-specific gene expression and plasma hormone levels. Int J Obes 23: 586-594.
  • Trayhurn P, Beattie JH, 2001. Physiological role of adipose tissue: white adipose tissue as an endocrine and secretory organ. Proc Nutr Soc 60: 329-339

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-6c4bee69-8c4c-4d1e-b5be-bd70a45f4bfd
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