Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 11 von 10056

Details

Autor(en) / Beteiligte
Titel
Efficient method for obtaining Lep(ob)/Lep(ob)-derived animal models using adipose tissue transplantations
Ist Teil von
  • International journal of obesity (2005), 2009-08, Vol.33 (8), p.938-944
Ort / Verlag
England
Erscheinungsjahr
2009
Quelle
MEDLINE
Beschreibungen/Notizen
  • Leptin-deficient mice (Lep(ob)/Lep(ob), also known as ob/ob) are of great importance for studies of obesity, diabetes and other correlated pathologies. Thus, generation of animals carrying the Lep(ob) gene mutation as well as additional genomic modifications has been used to associate genes with metabolic diseases. However, the infertility of Lep(ob)/Lep(ob) mice impairs this kind of breeding experiment. To propose a new method for production of Lep(ob)/Lep(ob) animals and Lep(ob)/Lep(ob)-derived animal models by restoring the fertility of Lep(ob)/Lep(ob) mice in a stable way through white adipose tissue transplantations. For this purpose, 1 g of peri-gonadal adipose tissue from lean donors was used in subcutaneous transplantations of Lep(ob)/Lep(ob) animals and a crossing strategy was established to generate Lep(ob)/Lep(ob)-derived mice. The presented method reduced by four times the number of animals used to generate double transgenic models (from about 20 to 5 animals per double mutant produced) and minimized the number of genotyping steps (from 3 to 1 genotyping step, reducing the number of Lep gene genotyping assays from 83 to 6). The application of the adipose transplantation technique drastically improves both the production of Lep(ob)/Lep(ob) animals and the generation of Lep(ob)/Lep(ob)-derived animal models.
Sprache
Englisch
Identifikatoren
eISSN: 1476-5497
DOI: 10.1038/ijo.2009.95
Titel-ID: cdi_proquest_miscellaneous_733967357

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX